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Call for Abstracts – REC2026, TU Dortmund University (2–5 September 2026)
by Faes, Matthias Sept. 8, 2025

Sept. 8, 2025

Dear Colleagues, We are pleased to announce that the abstract submission portal is now open for the 11th International Workshop on Reliable Engineering Computing (REC2026), to be held from 2 to 5 September 2026 at TU Dortmund University, Germany. The central theme of REC2026 is: Reliability Computations in a Data and Model-Driven World We warmly invite you to contribute your latest research on uncertainty quantification, data-driven approaches, and reliability in complex systems. REC2026 will feature keynote lectures, invited talks, and discussions with leading experts from around the world. Submit your abstract here: https://rec2026.web.tu-dortmund.de/ We look forward to receiving your contributions and welcoming you in Dortmund! With best regards, The REC2026 Organizing Committee

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ACM SIGMETRICS Doctoral Dissertation Award -- deadline September 15
by Daniel Sadoc Sept. 3, 2025

Sept. 3, 2025

ACM SIGMETRICS Doctoral Dissertation Award The SIGMETRICS Doctoral Dissertation award recognizes excellent thesis research by doctoral candidates in the field of performance evaluation analysis of computer systems. The award winner will receive a plaque, a $1,000 honorarium, and a complimentary registration to the ACM SIGMETRICS conference. The SIGMETRICS Doctoral Dissertation Award winner and up to two honorable mentions will be recognized at the annual ACM SIGMETRICS conference. *Eligibility:* - The final dissertation defense should take place at the nominee’s host institution during the 12 months prior to the submission deadline and not earlier than the previous submission deadline. Each submitted doctoral dissertation must be on a topic related to the measurement, modeling, analysis, and/or design of computing systems and networks. Of particular interest is work that presents new performance evaluation methods or that creatively applied previously developed methods to make predictions about, or gain insights into, key design tradeoffs in a variety of computing, networked, and cyber-physical systems. The determination of whether a thesis is in scope for the award will be made by the SIGMETRICS Doctoral Dissertation Award Committee. - An English-language version of the dissertation must be submitted with the nomination. - A dissertation can be nominated for both the SIGMETRICS Doctoral Dissertation Award and the ACM Doctoral Dissertation Award. - A supervisor can nominate a maximum of two PhD students in the same year. *Important dates:* - Submission deadline: September 15, 2025. - Notification: November 15, 2025. *Submission procedure:* All nomination materials must be submitted electronically by the supervisor to the 2025 committee chair, Daniel Sadoc Menasche (sadoc(a)dcc.ufrj.br) Please use the subject line: "SIGMETRICS DDA 2025 [candidate name]". You will receive an acknowledgment of successful submission within one week of your email. Nominations must be received by the submission deadline and must be submitted in English. Late submissions will not be considered. Supervisors of co-supervised candidates should coordinate to ensure that only one nomination per candidate is submitted to the committee. Nominations for the award must include: - A statement summarizing the candidate’s PhD thesis contributions and potential impact, and justification of the nomination. Please address the candidate's involvement and contributions with the SIGMETRICS or Performance community. No more than two pages; - A list of papers published within the candidate's thesis; - A copy of the PhD thesis itself; - Two endorsement letters supporting the nomination including the significant PhD thesis contributions of the candidate. Each endorsement should be no longer than 2 pages with a clear specification of the nominee’s PhD thesis contributions and potential impact; - A concise statement (one sentence) of the PhD thesis contribution for which the award is being given. This statement will appear on the plaque and on the SIGMETRICS website. PDF format is required for all materials. ACM's conflict-of-interest guidelines <https://awards.acm.org/conflict-of-interest> apply to all award nominations. The 2025 Doctoral Dissertation Award Committee comprises Daniel Sadoc Menasché (chair), Ningfang Mi, Jayakrishnan Nair, Giovanni Neglia and Ziv Scully.

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Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO July 24, 2025

July 24, 2025

Second call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 Apologies if you receive multiple copies of this message ========================================= Conference announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will take place in Palermo, Italy, from June 8 to 12, 2026. Website: https://probabilitypalermo2026.unipa.it ================================ Submission Guidelines for a CS ================================ We invite all researchers interested in contributing to the event to submit proposals for Contributed Sessions. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. A Contributed Session (CS) consists of four presentations by speakers invited by one or two organizers (organizers may also be among the speakers). In the “Contributed Session” submission form, please include: - The session title - The names of the 4 speakers - A short description of the session To submit a CS, please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ======================== Key Dates ======================== Contributed Session submission deadline: September 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of the Italian Mathematical Union (UMI), will be held in Palermo, Italy, from June 8 to 12, 2026, at the Campus of the University of Palermo, Viale delle Scienze, (https://probabilitypalermo2026.unipa.it/general-information/) ================ Plenary Speakers ================ We are pleased to announce the following confirmed plenary speakers (https://probabilitypalermo2026.unipa.it/invited-speakers/) - Francesca Biagini (LMU, Germany); - Stefano Favaro (University of Turin, Italy); - Franco Flandoli (Scuola Normale Superiore di Pisa, Italy); - Silvio Micali (MIT, USA); - Giuseppe Savaré (Bocconi University, Italy). ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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PhD Opportunities in Foundations of Epistemic Uncertainty in Machine Learning at NTU Singapore
by Chau Siu Lun (Asst Prof) July 12, 2025

July 12, 2025

Dear SIPTA community, I am currently recruiting motivated and enthusiastic PhD students with a strong mathematical, statistical, or computer science background to join my group at the College of Computing & Data Science, Nanyang Technological University (NTU), Singapore. The position starts in January (or August) 2026 and is fully funded. Our research focuses on the foundations of epistemic uncertainty in machine learning. The student will work closely with me on both mathematical theory and practical algorithm development, to build intelligent systems that not only make accurate predictions, but can also recognise their limitations and communicate what they know, and how well they know it, with clarity and confidence. Key topics include: imprecise probability, uncertainty quantification, information theory, ensemble methods, cooperative-game theory, and kernel methods. For more details and application instructions, please visit: https://chau999.github.io/group/. I would be very grateful if you could share this opportunity with any strong candidates or relevant networks. Thank you very much. Best regards, Siu Lun --- Siu Lun (Alan) Chau, DPhil (Oxon) Assistant Professor College of Computing & Data Science Nanyang Technological University 50 Nanyang Ave, Block N 4, 639798 Singapore siulun.chau(a)ntu.edu.sg<mailto:siulun.chau@ntu.edu.sg> | https://chau999.github.io/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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7th School on Belief Functions: Deadline for grant application approaching
by Serafin Moral June 25, 2025

June 25, 2025

The 7th School on Belief Functions and their Applications University of Granada, Granada, Spain October 19 — October 23, 2025 ****************************************************************** The deadline for grant application is approaching: Deadline for grant application: July 5th Deadline for early registration: July 15th More information at: https://bfasociety.org/BFTA2025/index.html

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Next ISIPTA seminar: Gregory Wheeler, 19th June, 3pm CEST
by sdesterc June 12, 2025

June 12, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 19th of June (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/84120288169 For this new seminar, we are very happy to have Gregory Wheeler as our speaker. Professor of Philosophy and Computer Science and Head of the Department of Computational Science & Philosophy at the Frankfurt School of Finance & Management. He is also the co-founder of Exaloan AG. Contributions from Gregory Wheeler span many fields, including formal logic, machine learning and of course the foundations of probabilities and the role of imprecision within it. On the 19th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Function-coherent gambles”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 19th of June, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=gGPF9dUug2g See you at the seminar! Sébastien, Enrique and Jasper

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AI-Fun with ELLIS Seminar | Theo Damoulas: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by Michele Caprio June 11, 2025

June 11, 2025

Dear SIPTA Members, The Manchester Centre for AI Fundamentals and Manchester's ELLIS Unit are co-hosting a series of seminars featuring expert researchers working in the fundamentals of AI. On 18 June, we are joined by Prof Theo Damoulas from the University of Warwick. Title: Distributionally Robust Optimisation with Bayesian Ambiguity Sets Bio: I am a Professor in Machine Learning and Data Science with a joint appointment in Computer Science and Statistics. I am a Turing AI Fellow (2021-2026) having received the UK Research and Innovation (UKRI) Turing AI Acceleration Fellowship in order to lead research on setting the Machine Learning Foundations of Digital Twins. I am an ELLIS member and also affiliated with New York University as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP). My research interests are in probabilistic machine learning and Bayesian statistics with an emphasis on the study and integration of various forms of structure and inductive biases (structured priors, spatiotemporal dependencies, dynamics, compositions, physical laws, flows, causality, etc) while advancing robust and scalable approximate inference methodologies. My research has broad applications in Digital Twins, Bayesian nonparametrics and spatiotemporal problems in urban science and computational sustainability. I am the founder and PI of the cross-departmental Warwick Machine Learning Group and I lead two large projects at The Turing that are impact stories. Please consider joining! Yours, Michele Caprio -- Centre for AI Fundamentals (AI-FUN) is inviting you to a scheduled Zoom meeting. Join Zoom Meeting https://zoom.us/j/97677103903 Meeting ID: 976 7710 3903

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Call for Papers – REC2026 at TU Dortmund University
by Faes, Matthias May 21, 2025

May 21, 2025

Call for Papers – REC2026 at TU Dortmund University Dear Colleague, We are pleased to invite you to the 11th International Workshop on Reliable Engineering Computing (REC2026), taking place 2–5 September 2026 at TU Dortmund University, Germany. Under the theme “Reliability Computations in a Data and Model-Driven World,”REC2026 connects classical uncertainty quantification with modern advances in AI and data science. As usually, a specific focus is on the development and application of imprecise probabilistic methods in engineering computations. REC2026 will offer an interdisciplinary forum on uncertainty quantification, risk assessment, and the reliability of engineering computations. The program includes keynote lectures, technical sessions, networking opportunities, a welcome reception (2 Sept), and a conference dinner (4 Sept). Important Dates 01/12/2025 – Abstract Submission 01/04/2026 – Full Paper Submission Submission templates will be provided soon. Mark your calendar and stay tuned! Website: https://rec2026.web.tu-dortmund.de/ <https://ddec1-0-en-ctp.trendmicro.com/wis/clicktime/v1/query?url=https%3a%2…> Flyer attached. With best regards, Matthias Faes (TU Dortmund University) Michael Beer (Leibniz University of Hannover) REC2026 General Chairs

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Gert de Cooman's invited talk in Perugia (Italy)
by Davide Petturiti May 19, 2025

May 19, 2025

Dear SIPTA’s members, I would like to advertise the following invited talk that Gert de Cooman will give on 23 May 2025 in Perugia (Italy) at 11:00 AM (CEST). TITLE: “From accept & reject statements to conservative inference with classical and quantum probabilities: a unified approach”. The invited talk falls within the Workshop PRIN 2022 “Models for dynamic reasoning under partial knowledge to make interpretable decisions” of which I attach the program. For those of you who are interested, Gert’s talk will be streamed online on MS Teams at the following link: https://tinyurl.com/4w3yfknk For more information, do not hesitate to contact me (e-mail: davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it>). All the best, Davide Petturiti [signature_2588867521] Davide Petturiti, Ph.D. Associate Professor Department of Economics University of Perugia Address: Via Pascoli 20, 06123 Perugia, Italy Phone: +39-075-585-5218 Fax: +39-075-585-5950 Email: davide.petturiti(a)unipg.it<mailto:davide.petturiti@dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti –––––––––––––––––––––––– Associate Researcher at LIP6 - Sorbonne Université<https://www.lip6.fr/actualite/personnes-fiche.php?ident=A88> Team: LFI - Learning, Fuzzy and Intelligent systems Axis: AID - Artificial Intelligence and Data science

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Call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026
by GIUSEPPE SANFILIPPO May 13, 2025

May 13, 2025

Call for Sessions: The 5th Italian Meeting on Probability and Mathematical Statistics, Palermo, June 8-12, 2026 Apologies if you receive multiple copies. ========================================= Conference announcement ========================================= The 5th Italian Meeting on Probability and Mathematical Statistics will be held in Palermo, Italy, from June 8-12, 2026. See: https://probabilitypalermo2026.unipa.it ============= Description ============= Established in 2017, the Italian Meeting on Probability and Mathematical Statistics aims to bring together Italian and international researchers with shared interests in any field of probability and mathematical statistics, promoting the dissemination of recent scientific results and fostering academic exchange. The first meeting was held in Turin in 2017. Since then, the meetings have taken place in Vietri sul Mare (2019), Bologna (2022), and Rome (2024). The 5th edition, promoted by the PRISMA group (https://umi-prisma.polito.it/) of UMI (Italian Mathematical Union), will be held in Palermo from June 8 to 12, 2026. The official website of the event is: https://probabilitypalermo2026.unipa.it/ The conference will take place on the Campus of the University of Palermo, Viale delle Scienze, Palermo, Italy. The plenary speakers who have already confirmed their participation are: Francesca Biagini (LMU, Munich, Germany), Stefano Favaro (University of Turin, Italy), Franco Flandoli (Scuola Normale Superiore di Pisa, Italy), and Giuseppe Savaré (Bocconi University, Italy). One more invited speaker will be announced soon. We invite all researchers interested in contributing to the event to submit proposals for a Contributed Session. The participation of young researchers and PhD students working in Italy or abroad is strongly encouraged. Poster session proposals will be welcome at a later stage. ================================ Submission Guidelines for a CS ================================ Submission for a Contributed Session (CS) is now open. A contributed session consists of 4 presentations given by speakers invited by one or two organizers (organizers may also be speakers). To submit a Contributed Session please visit: https://probabilitypalermo2026.unipa.it/contributed-sessions/ ======================== Key Dates ======================== Submission of Contributed Sessions (CS): September 30, 2025 Notification of acceptance: November 15, 2025 Abstract submission for accepted CS: December 31, 2025 Early registration deadline: February 28, 2026 ======================== Steering Committee ======================== Giacomo Ascione, Scuola Superiore Meridionale, Naples Claudia Ceci, Sapienza University of Rome Paolo Dai Pra, University of Verona Antonio Di Crescenzo, University of Salerno Marco Fuhrman, University of Milan Domenico Marinucci, University of Rome “Tor Vergata” Laura Sacerdote, University of Turin Giuseppe Sanfilippo, University of Palermo Enrico Scalas, Sapienza University of Rome Barbara Trivellato, Polytechnic University of Turin ======================== Local Committee ======================== https://probabilitypalermo2026.unipa.it/committees/ ~~~~~~~~~~~~~~~~~~~~~~~~~ Giuseppe Sanfilippo Departments of Mathematics and Computer Science, University of Palermo, Italy https://sites.unipa.it/sanfilippo giuseppe.sanfilippo(a)unipa.it ~~~~~~~~~~~~~~~~~~~~~~~~~

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7th School on Belief Functions and their Applications. Call for Participation and Financial Support
by Serafin Moral May 13, 2025

May 13, 2025

######################################################### BFTA 2025 - Call for Participation The 7th School on Belief Functions and their Applications University of Granada, Granada, Spain October 19 — October 23, 2025 <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbfasociet…>https://bfasociety.org/BFTA2025/index.html ######################################################### The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty. The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science. Student early registration (which include the tuition fees, lunches, coffee breaks and the social event): 200€ Financial support: Financial support will be offered by BFAS and the journal of Artificial Intelligence to some students for attending the school. Grants will cover registration fees. An additional amount may also be granted to cover part of the travel or accommodation, depending on individual circumstances. ISIF members can ask for a 50% discount on the registration fee. Lectures for this edition available at: https://bfasociety.org/BFTA2025/index.html#programme Important dates: • April 15, 2025: Registration opens • July 15, 2025: Deadline for early-bird registration • July 5, 2025: Deadline for BFAS and AIJ grants application • September 15, 2025: Deadline for registration For further information, contact: bfta2025(a)bfasociety.org With the support of: * Belief Functions and Applications Society (BFAS) * University of Granada * International Society on Information Fusion (ISIF) * Journal of Artificial Intelligence (Elsevier)

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Next SIPTA virtual seminar: Snow Zhang on pooling imprecise probabilities, 13th May, 3pm Paris time
by sdesterc May 6, 2025

May 6, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 13th of May (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81082468682 For this new seminar, we are very happy to have Snow Zhang as our speaker. Snow Zhang is currently assistant professor in the Department of Philosophy and a member of the Logic Group at the University of California, Berkeley. Snow Zhang research focuses on the foundations and philosophy of probability, with combination of (imprecise) probabilities being one of her privileged topic of investigation. On the 13th of May, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "Probabilistic opinion pooling and imprecise probabilities”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 13th of May, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=gGPF9dUug2g See you at the seminar! Sébastien, Enrique and Jasper

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(Not so random) new post on the SIPTA blog (on randomness and imprecision)
by Alexander Erreygers April 28, 2025

April 28, 2025

Dear imprecise probabilities enthusiasts, Ever thought about the question “when can/should one call an infinite sequence of 0s and 1s random”? You’re not alone! While you may have never thought about this question for more than a couple of minutes, hours or days, Floris Persiau spent about 5 years thinking about this question, over the course of obtaining his doctoral degree. Curious about his way of thinking about this problem (which, of course, included allowing for imprecision), and curious to find out whether he managed to come up with a satisfactory answer? Head over to the SIPTA blog now, where Floris Persiau is handing out small bites of the big cake that is his doctoral dissertation — all for free, no strings attached. Kind regards, Alexander Erreygers

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ISIPTA 2025: call for poster submissions (submission deadline: 5 may)
by sdesterc April 24, 2025

April 24, 2025

*** The organizers would be grateful if you could inform potentially interested participants of this conference. *** ================================================================ 14th International Symposium on imprecise probabilities: theories and applications (ISIPTA 2015) Call for posters The ISIPTA 2025 conference will take place between July 15 and July 18 in Bielefeld, Germany. It will welcome researchers working on imprecise probability theories and connected fields from all over the world, to discuss recent advancements. If you did not have the time to submit a paper, there is still time to submit a poster abstract. This will not only allow you to actively participate in the event, but will also enable you to register at a reduced fee or, if you are a non-tenured scholar, to register for free. Following past ISIPTA traditions, poster submissions will receive substantial attention: each poster is presented at a plenary session as well as at the poster session that follows it, alongside the regular full paper contributions. We therefore encourage you to submit your work as a poster. This could be work in progress that you’d like to present or get feedback on, as well as existing published material that you’d like to present to the ISIPTA audience. Submissions consist of a one page abstract that summarizes the work to be presented. The deadline for poster submissions is May 5, 2025. Acceptance of poster submissions will be notified shortly after the submission. The ISIPTA steering committee • Jasper De Bock • Sébastien Destercke • Alexander Erreygers • Max Nendel • Frank Riedel • Matthias Troffaes ================================================================

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Next SIPTA seminar, Krikamol Muandet on 24th April 15h Paris time, "Imprecise generalisation"
by sdesterc April 17, 2025

April 17, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 24th of April (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88932866889 For this new seminar, we are very happy to have Krikamol Muandet as our speaker. Krikamol Muandet is currently a chief scientist and tenure-track faculty (fast track) at CISPA - Helmholtz Center for Information Security which is within the Helmholtz Association where he leads the Rational Intelligence (RI) Lab. While Krikamol prime interest lies in machine learning, a field in which he has many contributions, he has also a strong interest in its intersections with imprecise probabilities, and in particular the idea of imprecision in learning. On the 24th of April at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Imprecise generalisation”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of April, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=XeGpbYNe5-Q See you at the seminar! Sébastien, Enrique and Jasper

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Next SIPTA Seminar 25/3 (3pm Paris Time): Michael Beer on "Efficient reliability analysis with imprecise probabilities"
by sdesterc March 18, 2025

March 18, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 25th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81624342015 For this new seminar, we are very happy to have Michael Beer as our speaker. Since 2015, Micheal Beer is Full Professor and Head of the Institute for Risk and Reliability at Leibniz Universität Hannover. Michael Beer is a leading researcher and expert in reliability and risk analysis, as witness his 2022 Alfredo Ang Award on Risk Analysis and Management of Civil Infrastructure delivered by the American Society of Civil Engineers (ASCE) and American Society of Mechanical Engineers (ASME). In particular, he has many important contributions on how to integrate imprecise probabilistic ideas within risk and reliability problems. On the 25th of March, at 15:00 paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "Efficient reliability analysis with imprecise probabilities”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 25th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=ECs_3mfPz8M&t See you at the seminar! Sébastien, Enrique and Jasper

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WUPES 2025 - 2nd call for papers
by Václav Kratochvíl March 6, 2025

March 6, 2025

---------------------------------------------------------------------------------------------- *2nd CALL FOR PAPERS* The 13th Workshop on Uncertainty Processing *W U P E S ' 25* Třešť, Czech Republic, June 4 - 7, 2025 http://wupes.utia.cas.cz/2025/ ---------------------------------------------------------------------------------------------- *About* A series of Workshops on Uncertainty Processing (WUPES) has been held in Czechia since 1988. We invite submissions of papers on Uncertainty in Artificial Intelligence, Bayesian Networks, Conditional Independence, Stochastic Analysis, Algebraic Statistics, Information-Theoretical Inequalities, Combinatorial Methods for Secret Sharing, Fuzzy Analysis, Machine Learning, Decision Theory, Management Science, and related fields. More information about WUPES can be found on our webpage: http://wupes .utia.cas.cz/ *Submissions* We invite regular papers. First, an extended abstract (up to two pages long) should be submitted. After notification of acceptance, full papers (maximum 12 pages) should be prepared using the WUPES LaTeX template. Authors of accepted papers are expected to present their work at the workshop. *Special Issue* After the workshop, a special issue of the international journal Kybernetika <https://www.kybernetika.cz/>(published by the Institute of Information Theory and Automation of the Czech Academy of Sciences) will be organized and dedicated to WUPES'25. All selected papers will undergo a regular review process. Kybernetika publishes freely available articles at no charge. Reflecting its focus on computer science, system engineering, applied mathematics, and related interdisciplinary fields, the journal has been indexed in Web of Science and Scopus since its founding in 1965. With an impact factor of 0.9 in 2023, Kybernetika provides a platform for high-quality research. *Important Dates* - March 14, 2025: Submission of extended abstracts - March 28, 2022: Notification of acceptance - April 11, 2025: Early registration & payment deadline - May 2, 2025: Camera-ready copy of the final paper due - June 4-7, 2025: Workshop in Třešť, Czechia *Program Committee* - Milan Studený - chair, Czech Academy of Sciences - Nihat Ay, Hamburg University of Technology, Germany - Andrea Capotorti, Università di Perugia, Italy - László Csirmaz, Alfréd Rényi Inst. of Mathematics, Hungary - Radim Jiroušek, Czech Academy of Sciences, Czechia - Gernot D. Kleiter, Salzburg University, Austria - Prakash P. Shenoy, University of Kansas, USA *Organizing Committee* - Jirka Vomlel - chair, Czech Academy of Sciences - Radim Jiroušek, Czech Academy of Sciences - Václav Kratochvíl, Czech Academy of Sciences - Milan Studený, Czech Academy of Sciences *Venue* The WUPES 2025 conference will take place in the magnificent Třešť Castle, a historic site owned by the Czech Academy of Sciences. Originally a medieval fortress, the castle has undergone transformations from Renaissance to Baroque architecture and now serves as a center for academic and research activities. Participants will enjoy the serene castle park, ideal for quiet walks and relaxation. Třešť is located in the scenic Vysočina region, celebrated for its rolling hills, forests, and cultural landmarks. A highlight of the area is the UNESCO World Heritage Site of Telč, just 24 minutes away by train with regular hourly service. Telč, known for its Renaissance architecture and charming town square, offers a unique excursion opportunity for participants. For any further questions, please get in touch with the chair: *Jirka VomlelEmail: vomlel(a)utia.cas.cz <vomlel(a)utia.cas.cz>*

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New post on the SIPTA blog: report on the EpImp Concluding Conference
by Van Camp, Arthur Feb. 25, 2025

Feb. 25, 2025

Dear imprecise probabilities enthusiasts, The SIPTA website<https://sipta.org/> has a new blog post. Kevin Blackwell has written a report on the EpImp Concluding Conference. This event, organised by Jason Konek’s ERC-funded project “Epistemic Utility for Imprecise Probabilities”, took place on 18 and 19 December in Bristol. You can find Kevin’s report here<https://sipta.org/blog/epimp-2024/>! Kind regards, Arthur Van Camp

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IJCRS 2025 Extension Deadline
by Stefania Boffa Feb. 17, 2025

Feb. 17, 2025

Dear Colleagues, Let me inform you that the deadline for abstract and full paper submission to the *11th International Joint Conference on Rough Sets (IJCRS 2025)* has been extended to *February 28, 2025 *(firm deadline). - IJCRS 2025 will support a *hybrid format*, allowing both in-person and online participation. - Conference* website*: IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home> Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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SIPTA 2025 extended deadline (9th February - final deadline) + important dates
by Sébastien Destercke Jan. 28, 2025

Jan. 28, 2025

Dear Colleagues, We are happy to let you know that we have extended the full paper deadline for ISIPTA (International Symposium on Imprecise Probabilities: Theories and Applications) by one week. Here are all the important dates you need to know if you intend to submit a (long) paper: * Extended Submission deadline: 9th February (final) * First decision to authors: 28th March * Final decision (for papers needing revision): 18th April * Registration deadline: 1st June And, in case you still do not have time to prepare a proper paper, you are very much welcome to submit a one-page abstract to be presented as a poster * Poster submission deadline: 27th April, followed by a quick decision. We look forward to welcome you all in Bielefeld! ISIPTA program committee board Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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SIPTA seminar on 3rd of February (3pm Paris time): Brian Hill, "Confidence in beliefs in rational policy making"
by sdesterc Jan. 28, 2025

Jan. 28, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 3rd of February (Monday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81067801110 For this new seminar, we are very happy to have Brian Hill as our speaker. Brian Hill is Research Director at the French National Centre for Scientific Research (CNRS) and CNRS Research Professor in the Economics and Decision Sciences at HEC Paris. He is also Academic Director of the Inclusive Economy Centre in the Sustainability & Organizations Institute (S&O) at HEC Paris. He has been the recipient of the CNRS Bronze Medal for early-career researchers, one of the most prestigious French science award. One of his recent research programs has focused on what counts as a rational reaction to severe uncertainty or “ambiguity”. His research also focuses on important societal issues, such as how to reduce inequality and the role of uncertainty in environmental policies. On the 3rd of February, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Confidence in beliefs in rational policy making”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 3rd of February, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=GdHIecdHpEg See you at the seminar! Sébastien, Enrique and Jasper

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ISIPTA 2025 - second call for paper
by sdesterc Jan. 17, 2025

Jan. 17, 2025

Dear colleagues, The deadline to submit long papers to ISIPTA, which is the 2nd of February, is fast approaching! The International Symposium on Imprecise Probabilities: Theories and Applications is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. ISIPTA also has a strong tradition of favouring discussions among its participants. To do so, accepted contributions will be presented and discussed in two separate sessions. The first session features presentations that are short and plenary. The second, longer session is devoted to detailed explanations and discussions that are face-to-face and rely on whichever medium you prefer – but having a poster is encouraged – so as to favour interaction among participants. ISIPTA will also welcome a number of renowned keynote speakers: • Carole Bernard (Grenoble École de Management & Vrije Universiteit Brussel) • Itzhak Gilboa (Hautes Études Commerciales de Paris) • Peter Grünwald (Centrum Wiskunde & Informatica & Leiden University) • Jan Obłój (University of Oxford) We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. We accept two types of submissions: full papers and one-page abstracts. The submission deadlines are February 2nd, 2025 for full papers and April 27th, 2025 for one-page abstracts; additional important dates like notification of paper acceptance will be communicated in due course. Submission is through the EasyChair platform following the instructions on the conference website for formatting guidelines. All contributions will be made available on the conference website. Papers will be published in the Proceedings of Machine Learning Research, although authors have the option to opt out of publication. Registration is free for non-tenured scholars with accepted submission, and € 200 for tenured faculty with accepted submission. The fee for scholars without accepted submission and industry participants is € 600. The registration fee includes lunch, coffee breaks, social dinner, and participation in the social event. Registration is up to June 1st, 2025, but we encourage participants to register only after a final decision on their submission has been made. We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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Next SIPTA seminar: 22nd January 15h Paris time, Erik Quaeghebeur on probabilistic circuits
by sdesterc Jan. 13, 2025

Jan. 13, 2025

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 22nd of January (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/81782582392 For this new seminar, we are very happy to have Erik Quaeghebeur as our speaker. Erik Quaeghebeur is Assistant Professor at the Eindhoven university of technology, Netherlands. Erik is well known within the world of imprecise probabilities, as he started his career with making many foundational contributions to statistic and decision with imprecision, to then complement it with impactful works on the optimisation of windfarms. Among other topics, he is currently working on developing probabilistic circuits and their imprecise counterpart. On the 22nd of January, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "The wondrous world of credal and deep probabilistic circuits”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 22nd of January, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=Yd_nDt4SIjg&t See you at the seminar! Sébastien, Enrique and Jasper

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New post on the SIPTA blog
by Van Camp, Arthur Dec. 21, 2024

Dec. 21, 2024

Dear IP enthusiasts, The SIPTA blog<https://sipta.org/blog/> has another new blogpost. You can learn more about Giacomo Molinari's doctoral research<https://sipta.org/blog/thesis-giacomo/> on Deference Principles for Imprecise Probabilities. Kind regards, Arthur Van Camp

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[Jobs] Research Fellow in Autonomous Driving under Uncertainty (Jan 19)
by Fabio Cuzzolin Dec. 20, 2024

Dec. 20, 2024

The Visual Artificial Intelligence Laboratory @ Oxford Brookes <https://www.linkedin.com/company/visual-ai-lab/> (VAIL) at Oxford Brookes University <https://www.linkedin.com/company/oxfordbrookes/>, led by Professor <https://www.linkedin.com/in/ACoAAAW5OSgBrV7rQei3wMC_5Dj5_9UA8fT7kp4>Fabio Cuzzolin <https://www.linkedin.com/in/fabio-cuzzolin/>, is seeking a fellow to be appointed as soon as possible, full-time, for a period of 12 months or until the end of the project (February 2026). The #ResearchFellow <https://www.linkedin.com/feed/hashtag/?keywords=researchfellow&highlightedU…> will join the Lab’s efforts in the context of the #Horizon2020 <https://www.linkedin.com/feed/hashtag/?keywords=horizon2020&highlightedUpda…> FET-Open project “Epistemic AI” coordinated by Oxford Brookes, with KU Leuven <https://www.linkedin.com/company/ku_leuven/> and Delft University of Technology <https://www.linkedin.com/company/tudelft/> as the other partners. https://lnkd.in/grbkStWQ The project’s overarching objective is to develop a new paradigm for a next-generation artificial intelligence providing worst-case guarantees on its predictions thanks to a proper modelling of real-world uncertainties. The project re-imagines AI from the foundations, with the aim of providing a proper treatment of the #epistemic <https://www.linkedin.com/feed/hashtag/?keywords=epistemic&highlightedUpdate…> #uncertainty <https://www.linkedin.com/feed/hashtag/?keywords=uncertainty&highlightedUpda…> stemming from a machine’s forcibly partial knowledge of the world by means of advanced uncertainty theory. The Fellow will assist Prof Cuzzolin with the coordination of the H2020 Epistemic AI project and maintain a smooth communication among the project partners. In particular, they will lead the research work of Work Package 3 (Science-to-technology breakthrough in autonomous driving), by developing new frameworks for object detection and scene understanding under uncertainty, as well as inverse reinforcement learning. They will join another research fellow and co-supervise the two PhD students hired under the project, while helping with the general management of the Visual AI Lab. The Visual Artificial Intelligence Laboratory is a fast-growing research unit of 24 members, active in #deeplearning <https://www.linkedin.com/feed/hashtag/?keywords=deeplearning&highlightedUpd…> for action detection, #uncertainty <https://www.linkedin.com/feed/hashtag/?keywords=uncertainty&highlightedUpda…> in #artificialintelligence <https://www.linkedin.com/feed/hashtag/?keywords=artificialintelligence&high…> , #machinelearning <https://www.linkedin.com/feed/hashtag/?keywords=machinelearning&highlighted…> (e.g. #continuallearning <https://www.linkedin.com/feed/hashtag/?keywords=continuallearning&highlight…> ), #computervision <https://www.linkedin.com/feed/hashtag/?keywords=computervision&highlightedU…> , #autonomousdriving <https://www.linkedin.com/feed/hashtag/?keywords=autonomousdriving&highlight…>, surgical and mobile #robotics <https://www.linkedin.com/feed/hashtag/?keywords=robotics&highlightedUpdateU…> , #AI <https://www.linkedin.com/feed/hashtag/?keywords=ai&highlightedUpdateUrns=ur…> for healthcare. The Lab is currently pioneering frontier topics such as machine # theoryofmind <https://www.linkedin.com/feed/hashtag/?keywords=theoryofmind&highlightedUpd…>, evolving machine intelligence, intrinsically-aligned AI, epistemic # foundationmodels <https://www.linkedin.com/feed/hashtag/?keywords=foundationmodels&highlighte…>, AI for science, #neuraloperators <https://www.linkedin.com/feed/hashtag/?keywords=neuraloperators&highlighted…> under uncertainty. Within autonomous driving, we are recognised as the creators of the series of ROAD datasets for #situationalawareness <https://www.linkedin.com/feed/hashtag/?keywords=situationalawareness&highli…> , https://lnkd.in/enx8wDMJ https://lnkd.in/e5hyeFyf https://lnkd.in/e6k48Q6T the organisation of 5 recent workshops at top conferences (at ICCV, ECCV, UAI, IROS)hashtag and we are working to incubate a <https://www.linkedin.com/feed/hashtag/?keywords=iccv&highlightedUpdateUrns=…> hashtag <https://www.linkedin.com/feed/hashtag/?keywords=spinoff&highlightedUpdateUr…>and we are working to incubate a spinoff company on robust hashtag#perception <https://www.linkedin.com/feed/hashtag/?keywords=perception&highlightedUpdat…> and end-to-end planning for autonomous vehicles. VAIL is part of the University’s new Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute <https://www.linkedin.com/company/artificial-intelligence-data-analysis-and-…>, directed by Cuzzolin. Please apply here (vacancy ID number of 174959): https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id=… or contact Fabio at fabio.cuzzolin(a)brookes.ac.uk for more information. The deadline for application is 19 January 2025.

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ISIPTA 2025: Call for papers
by Alexander Erreygers Dec. 20, 2024

Dec. 20, 2024

The International Symposium on Imprecise Probabilities: Theories and Applications<https://sipta.org/events/isipta/> is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. The 14th edition of this biennial conference series will be held at the Bielefeld University Center for Interdisciplinary Research<https://www.uni-bielefeld.de/__uuid/fcd0d2db-5ed3-45a1-b122-685b58074571/> from Tuesday, July 15, 2025, to Friday, July 18, 2025. We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. As is tradition at ISIPTA, accepted contributions will be presented and discussed in two separate sessions. Presentations are short and plenary. Detailed explanations and discussions are face-to-face relying on whichever medium you prefer – but having a poster is encouraged – so as to favour interaction among participants. We accept two types of submissions: full papers and one-page abstracts. The submission deadlines are February 2nd, 2025 for full papers and April 27th, 2025 for one-page abstracts; additional important dates like notification of paper acceptance will be communicated in due course. Submission is through the EasyChair platform<https://easychair.org/conferences/?conf=isipta2025> following the instructions on the conference website<https://isipta25.sipta.org/submission> for formatting guidelines. All contributions will be made available on the conference website. Papers will be published in the Proceedings of Machine Learning Research<https://proceedings.mlr.press/>, although authors have the option to opt out of publication. Registration is free for non-tenured scholars with accepted submission, and € 200 for tenured faculty with accepted submission. The fee for scholars without accepted submission and industry participants is € 600. The registration fee includes lunch, coffee breaks, social dinner, and participation in the social event. Registration is up to June 1st, 2025, but we encourage participants to register only after a final decision on their submission has been made. We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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7th School on Belief Functions and their Applications: Preliminary Announcement
by Serafin Moral Dec. 18, 2024

Dec. 18, 2024

*************************************************************************************** 7th School on Belief Functions and their Applications Oct 19-23, 2025 University of Granada, Granada, Spain https://www.bfasociety.org/BFTA2025 bfta2025(a)bfasociety.org *************************************************************************************** PRELIMINARY ANNOUNCEMENT(more information coming soon) The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty. The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science. Financial Support The Belief Functions and Applications Society (BFAS) is offering several grants that cover the school registration fees (which include the tuition fees, lunches, coffee breaks and the social event). Organizing committee * Serafin Moral (Chair), University of Granada, Spain * Inés Couso, University of Oviedo, Spain * Enrique Miranda, University of Oviedo, Spain * Thierry Denœux, University of Technology of Compiègne, France * Anne-Laure Jousselme, CS Group Research Lab, France * Frédéric Pichon, Artois University, France * David Mercier, Artois University, France

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PhD Opportunity
by Michele Caprio Dec. 12, 2024

Dec. 12, 2024

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning The Faculty of Humanities<https://www.humanities.manchester.ac.uk/> of The University of Manchester has an open Bicentenary PhD Studentship<https://www.humanities.manchester.ac.uk/study/postgraduate-research/funding…> position. The PhD research's more specific areas are eXplainable Deep Learning (XDL) and Uncertainty Quantification (UQ). The research focuses on developing new techniques based on Imprecise Probability Theory, that will improve the current state of the art at the intersection of XDL and UQ. This project allows for doing both fundamental and applied research, with the aim of advancing and bridging both theory and applications. The candidate should hold a master's degree in Mathematics, Computer Science, Statistics, or a related field. Further details about this position, and a link to the application system, can be found at https://www.findaphd.com/phds/project/hums-bicentenary-phd-deep-uncertainty… For further information, please contact Michele Caprio (michele.caprio(a)manchester.ac.uk<mailto:michele.caprio@manchester.ac.uk>).

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Fwd: CFP-IJCRS 25
by Boffa, Stefania Dec. 11, 2024

Dec. 11, 2024

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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WUPES 2025 - Call for papers
by Milan Studeny Dec. 11, 2024

Dec. 11, 2024

Dear colleagues, perhaps some of you may be interested in a small informal workshop WUPES with broad flexible scope, to be organized next June -- see below. best wishes Milan Studeny (in name of WUPES organizers) ---------------------------------------------------------------------------------------------- *CALL FOR PAPERS* The 13th Workshop on Uncertainty Processing *W U P E S ' 25* Třešť, Czech Republic, June 4 - 7, 2025 http://wupes.utia.cas.cz/2025/ ---------------------------------------------------------------------------------------------- *About* A series of Workshops on Uncertainty Processing (WUPES) has been held in Czechia since 1988. We invite submissions of papers on Uncertainty in Artificial Intelligence, Bayesian Networks, Conditional Independence, Stochastic Analysis, Algebraic Statistics, Information-Theoretical Inequalities, Combinatorial Methods for Secret Sharing, Fuzzy Analysis, Machine Learning, Decision Theory, Management Science, and related fields. More information about WUPES can be found on our webpage: http://wupes.utia.cas.cz/ *Submissions* We invite regular papers. First, an extended abstract (up to two pages long) should be submitted. After notification of acceptance, full papers (maximum 12 pages) should be prepared using the WUPES LaTeX template. Authors of accepted papers are expected to present their work at the workshop. *Special Issue* After the workshop, a special issue of the international journal Kybernetika <https://www.kybernetika.cz/>(published by the Institute of Information Theory and Automation of the Czech Academy of Sciences) will be organized and dedicated to WUPES'25. All selected papers will undergo a regular review process. Kybernetika publishes freely available articles at no charge. Reflecting its focus on computer science, system engineering, applied mathematics, and related interdisciplinary fields, the journal has been indexed in Web of Science and Scopus since its founding in 1965. With an impact factor of 0.9 in 2023, Kybernetika provides a platform for high-quality research. *Important Dates* - March 14, 2025: Submission of extended abstracts - March 28, 2022: Notification of acceptance - April 11, 2025: Early registration & payment deadline - May 2, 2025: Camera-ready copy of the final paper due - June 4-7, 2025: Workshop in Třešť, Czechia *Program Committee* - Milan Studený - chair, Czech Academy of Sciences - Nihat Ay, Hamburg University of Technology, Germany - Andrea Capotorti, Università di Perugia, Italy - László Csirmaz, Alfréd Rényi Inst. of Mathematics, Hungary - Radim Jiroušek, Czech Academy of Sciences, Czechia - Gernot D. Kleiter, Salzburg University, Austria - Prakash P. Shenoy, University of Kansas, USA *Organizing Committee* - Jirka Vomlel - chair, Czech Academy of Sciences - Radim Jiroušek, Czech Academy of Sciences - Václav Kratochvíl, Czech Academy of Sciences - Milan Studený, Czech Academy of Sciences *Venue* The WUPES 2025 conference will take place in the magnificent Třešť Castle, a historic site owned by the Czech Academy of Sciences. Originally a medieval fortress, the castle has undergone transformations from Renaissance to Baroque architecture and now serves as a center for academic and research activities. Participants will enjoy the serene castle park, ideal for quiet walks and relaxation. Třešť is located in the scenic Vysočina region, celebrated for its rolling hills, forests, and cultural landmarks. A highlight of the area is the UNESCO World Heritage Site of Telč, just 24 minutes away by train with regular hourly service. Telč, known for its Renaissance architecture and charming town square, offers a unique excursion opportunity for participants. For any further questions, please get in touch with the chair: *Jirka VomlelEmail: vomlel(a)utia.cas.cz " target="_blank">" target="_blank">" target="_blank"><vomlel(a)utia.cas.cz>*

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Next SIPTA seminar: 12th December 15h Paris time, Frederic Pichon on information fusion
by sdesterc Dec. 4, 2024

Dec. 4, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 12th of December (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/88087921468 For this new seminar, we are very happy to have Frédéric Pichon as our speaker. Frédéric Pichon is Professor of Computer Science at Université D’artois, in the LGI2A. Frédéric is a widely recognised expert in belief functions, with interest in combinatorial optimisation, information fusion and machine learning. On the 12th of December, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Reliability and dependence in the combination of evidence”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=OqZhJ6QL4x0&t See you at the seminar! Sébastien, Enrique and Jasper

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Invitation to the EpImp Concluding Conference: 18–19 December 2024, Bristol
by Van Camp, Arthur Nov. 29, 2024

Nov. 29, 2024

Dear Imprecise Probability Enthusiast, We are delighted to invite you to the EpImp Concluding Conference, the final event of the ERC-funded project 'Epistemic Utility for Imprecise Probability'. This conference will take place on 18 and 19 December 2024 in Bristol, UK. We are thrilled to announce an outstanding lineup of speakers, with presentations scheduled as follows: Wednesday, 18 December 09:00–10:15: Francesca Zaffora Blando 10:30–11:45: Branden Fitelson 13:00–14:15: Jason Konek & Giacomo Molinari 14:30–15:45: Gregory Wheeler 16:00–17:15: Gert de Cooman Thursday, 19 December 09:00–10:15: Matthias Troffaes 10:30–11:45: Catrin Campbell-Moore 13:00–14:15: J. Dmitri Gallow 14:30–15:45: Kevin Blackwell & Arthur Van Camp 16:00–17:15: Kevin Dorst Further details are available on our conference website: https://ep-imp.gitlab.io/concluding-conference-2024/. Registration This event is open to everyone interested in imprecise probabilities. Registration is free of charge, and we will provide lunch and coffee to all registered participants. To secure your place, please complete the following form by 7 December: https://doodle.com/sign-up-sheet/participate/3f234fc0-a397-4150-86f0-cddc2f…. Speakers do not need to complete this form. Venue The conference will be held at the Wills Memorial Building, Queens Rd, Bristol BS8 1QE, United Kingdom. You can find the location here: https://www.openstreetmap.org/?mlat=51.45636&mlon=-2.60456#map=18/51.45636/…. Accommodation recommendations For proximity to the venue, we recommend the following accommodations: - The Berkeley Square Hotel (https://cliftonhotels.com/bristol-hotels/berkeley-square) - The Clifton Hotel Bristol (https://cliftonhotels.com/bristol-hotels/clifton-bristol-city-centre) - The Washington Guesthouse Bristol (https://cliftonhotels.com/bristol-hotels/washington) If you have any questions or require further information, please do not hesitate to contact us. We look forward to welcoming you to Bristol this December! Warm regards, The EpImp Team: Jason Konek (Chair of the Organising Committee) – jason.konek(a)bristol.ac.uk<mailto:jason.konek@bristol.ac.uk> Kevin Blackwell Giacomo Molinari Arthur Van Camp

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Fwd: CFP - IJCRS 2025
by Stefania Boffa Nov. 27, 2024

Nov. 27, 2024

Dear Colleagues, Let me share the CFP of the *11th International Joint Conference on Rough Sets (*IJCRS 2025 <http://ijcrs2025.cqupt.edu.cn/#/home>*) *with you*.* Best wishes Stefania Boffa IJCRS 2025 Publicity Chair

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CNRS positions open (16 total in the two computer science committees)
by sdesterc Nov. 23, 2024

Nov. 23, 2024

Dear (young) colleagues, As every year, CNRS (and INRIA) is opening nation-wide positions in every field of science (for CNRS, INRIA focuses mostly on computer science and applied mathematics). For most people here, this would mean positions available in Philosophy, Economy, Mathematics and Computer Science, but maybe others. Those positions are permanent and full-time research positions, with a lot of flexibility in how you manage your time and activities. CNRS candidates typically have to produce a summary of past research and a research project for the next 5-10 years, and give three teams or laboratory (these have to be joint research units, but there are such research units in many places in France). For computer science, the official website is there: https://www.ins2i.cnrs.fr/en/cnrsinfo/researchers-competition-2025-list-pos… And you can fetch some useful info there: https://mathurinm.github.io/cnrs_inria_advice/ In computer science, recruited candidates are typically young researchers, i.e., having less than 7-8 years of research experience since the beginning of the PhD thesis (but there can be exceptions). This may change if you want to apply, e.g., in economy or philosophy, as every field has its particularities. If you wish to apply, you should try to identify and contact ASAP a laboratory in France where you would like to work (e.g., by just looking up in which laboratory is your favourite French researcher working), and contact them. Laboratories that have people dealing with imprecision in uncertainty or that would be interested in candidates working in these fields include mine, but also the CRIL (Lens), IRIT (Toulouse), GREGHEC and LAMSADE (Paris), and a couple others! Deadline for applications are beginning of January, but putting up a good application file takes quite some time and efforts. I can try to reply to your possible questions if you have some. However, I will mostly have information about the committees and processes concerned with computer science, automatic, robotic, signal treatment, machine learning and uncertainty propagation. Best Sébastien

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Next SIPTA seminar: 22nd November 3pm Paris Time. Jason Konek on philosophy and decision making
by sdesterc Nov. 19, 2024

Nov. 19, 2024

Dear Siptians, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 22nd of November (Friday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85974092076 For this new seminar, we are very happy to have Jason Konek as our speaker. Jason Konek is currently Senior Lecturer at the philosophy department of Bristol University. Jason Konek had many contribution in the philosophy of imprecise probabilities, and has notably been awarded a prestigious ERC Grant “Epistemic Utility for Imprecise Probability” to pursue his work on this topic. On the 22nd of November, at 15:00 Paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Bringing philosophy and IP into conversation: Puzzles and challenges for decision theory”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 22nd of November, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=GToHUaaIzjc&t=681s See you at the seminar! Sébastien, Enrique and Jasper

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REC 2026: mark your calendars, imprecise probabilities are one of the highlighted topics
by Kreinovich, Vladik Nov. 14, 2024

Nov. 14, 2024

The 11th International Workshop on Reliable Engineering Computing REC 2026 will be heled in Dortmund, Germany, on September 2-4, 2026 (dates are tentative) REC2026 will provide a multi-disciplinary forum to bring together various engineering and associated disciplines with the common focus on methodologies and theories in the field of risk and uncertainty. As in the previous biennial REC-meetings, the central theme of the discussions will be the reliability of engineering computations. Covering a broad range of topics, REC2024 aims to address the urgent need for innovative theories and advanced computational approaches to ensure safety of engineering systems starting with uncertainty quantification of input parameters. Topics include but are not limited to: * Uncertainty analysis and modeling * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring * Reliability analysis * Risk analysis * Reliability-based design * Performance-based design * Risk-informed decision-making * Sustainability and resilience * Risk and hazard mitigation * Optimization under uncertainty * Inverse problems * Model reduction * Surrogate models * System and parameter identification * Structural health monitoring Methods and theories may include: * Probability theory * Stochastic approaches * Bayesian theory * Fuzzy set theory * Imprecise probabilities * Evidence theory * P-box approach * Fuzzy probability theory * Interval analysis * Fuzzy analysis * Convex modeling * Information gap theory * AI and Machine Learning Contributions are invited with emphasis on both theory and applications. Previous REC-meetings have been hosted: * at Georgia Tech Savannah (United States) in 2004, 2006, and 2008, * at the National University of Singapore in 2010, * at Brno University of Technology in Brno (Czech Republic) in 2012, * at Illinois Institute of Technology in Chicago (United States) in 2014, * at Ruhr University Bochum (Germany) in 2016, * at Liverpool University (United Kingdom) in 2018, * online in 2021 (due to COVID-19 pandemic), * at Tsinghua University in Beijing (China) in 2024. Contacts: * Matthias Fass matthias.faes(a)tu-dortmund.de<mailto:matthias.faes@tu-dortmund.de> * Michael Beer beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>

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I: [CISPA-Researchers] Guest talk by Michele Caprio (University of Manchester) on 19 Nov at 1400.
by Michele Caprio Nov. 12, 2024

Nov. 12, 2024

Of possible interest for someone in the SIPTA community 🙂 Yours, Michele ________________________________ Da: Siu Lun Chau <siu-lun.chau(a)cispa.de> Inviato: martedì 12 novembre 2024 10:53 A: researchers(a)lists.cispa.saarland <researchers(a)lists.cispa.saarland> Cc: Michele Caprio <michele.caprio(a)manchester.ac.uk> Oggetto: [CISPA-Researchers] Guest talk by Prof Michele Caprio (University of Manchester) on 19 Nov at 1400. Dear CISPA Researcher, You are cordially invited to Michele Caprio's (University of Manchester) research talk next Tuesday at 2 p.m. in D2 room 1.01. The talk is also available on Zoom [cispa-de.zoom-x.de]<https://urldefense.com/v3/__https://cispa-de.zoom-x.de/my/muandet__;!!PDiH4…>. Title: Optimal Transport for Epsilon Contaminated Credal Set Talk Abstract: We provide a version for lower probabilities of Monge's and Kantorovich's optimal transport problems. We show that, when the lower probabilities are the lower envelopes of ε-contaminated sets, then our version of Monge's, and a restricted version of our Kantorovich's problems, coincide with their respective classical versions. We also give sufficient conditions for the existence of our version of Kantorovich's optimal plan, and for the two problems to be equivalent. As a byproduct, we show that for ε-contaminations the lower probability versions of Monge's and Kantorovich's optimal transport problems need not coincide. The applications of our results to Machine Learning and Artificial Intelligence are also discussed. Bio: Michele is a Lecturer (Assistant Professor) in Machine Learning and Artificial Intelligence at The University of Manchester. He obtained his PhD in Statistics from Duke University, and worked as a postdoctoral researcher in the Department of Computer and Information Science of the University of Pennsylvania. His general interest is probabilistic machine learning, and in particular the use of imprecise probabilistic techniques to investigate the theory and methodology of uncertainty quantification in Machine Learning and Artificial Intelligence. Recently, he won the IJAR Young Researcher and the IMS New Researcher Awards, and he was elected a member of the London Mathematical Society. P.S. Michele is visiting our group for a week, so if anyone is interested in learning about his amazing work on imprecise probabilistic machine learning, feel free to reach out and set up a meeting. Best, Siu Lun Chau --- Siu Lun (Alan) Chau, Ph.D (Oxon) | Postdoctoral Researcher CISPA - Helmholtz Center for Information Security Stuhlsatzenhaus 5, 66123 Saarbrücken, +44 7415137484 | siu-lun.chau(a)cispa.de | https://chau999.github.io/ [chau999.github.io]<https://urldefense.com/v3/__https://chau999.github.io/__;!!PDiH4ENfjr2_Jw!G…>

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PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning
by Michele Caprio Nov. 7, 2024

Nov. 7, 2024

PhD Position at The University of Manchester in the area of Uncertainty in Machine Learning The UKRI AI CDT in Decision Making for Complex Systems<https://www.ai-decisions-cdt.ac.uk/> — joint between The University of Manchester and the University of Cambridge — has an open position for a PhD student in Manchester. The PhD research's more specific area is Imprecise Probabilistic Machine Learning. The research focuses on developing a new Multimodal Learning paradigm based on the notion of Credal Sets. This project allows for doing both fundamental and applied research, with the aim of advancing and bridging both theory and applications. The candidate should hold a master's degree in mathematics, computer science, statistics, or a related field. Further details about this position, and a link to the application system, can be found at https://www.findaphd.com/phds/project/multimodal-credal-learning-theory/?p1… For further information, please contact Michele Caprio (michele.caprio(a)manchester.ac.uk<mailto:michele.caprio@manchester.ac.uk>).

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First Announcement: 14th International Symposium on Imprecise Probabilities (ISIPTA 2025) - Bielefeld
by Alexander Erreygers Oct. 17, 2024

Oct. 17, 2024

We are excited to announce that the 14th International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA 2025) will be held at the Bielefeld University Center for Interdisciplinary Research from Tuesday, July 15, 2025, to Friday, July 18, 2025. ISIPTA is the premier international event dedicated to the exploration of imprecise probabilities, providing a platform for both theoretical advancements and practical applications. We invite contributions on all aspects of imprecise probabilities, a term encompassing a wide range of mathematical and statistical models that quantify uncertainty without the restriction of precise probabilities. Topics of interest include, but are not limited to, sets of probability measures, partial preference orderings, game-theoretic probability, choice functions, interval probabilities, risk measures, nonlinear expectations, belief functions, and possibility theory. The symposium will feature both contributed sessions and keynote talks from leading experts in the field. Keynote speakers are • Carole Bernard (Grenoble École de Management & Vrije Universiteit Brussel) • Itzhak Gilboa (Hautes Études Commerciales de Paris) • Peter Grünwald (Centrum Wiskunde & Informatica & Leiden University) • Jan Obłój (University of Oxford) The deadline for full paper submissions is February 2nd, 2025. More information about submission will follow in due course. For further details, please visit the conference website: https://isipta25.sipta.org/home . We look forward to welcoming you to Bielefeld! The ISIPTA 2025 Steering Committee Jasper De Bock Sébastien Destercke Alexander Erreygers Max Nendel Frank Riedel Matthias Troffaes

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I: OASIS talk next Friday: Michele Caprio - Imprecise Probability in Machine Learning
by Michele Caprio Oct. 16, 2024

Oct. 16, 2024

Of possible interest for someone in the SIPTA community 🙂 Yours, Michele ________________________________ Da: Paolo Perrone <paolo.perrone(a)cs.ox.ac.uk> Inviato: lunedì 14 ottobre 2024 10:08 A: talk-announce(a)cs.ox.ac.uk <talk-announce(a)cs.ox.ac.uk>; Rob Cornish <rob.cornish(a)stats.ox.ac.uk>; Kaushik Chintam <k.chintam(a)se23.qmul.ac.uk>; Michele Caprio <michele.caprio(a)manchester.ac.uk> Oggetto: OASIS talk next Friday: Michele Caprio - Imprecise Probability in Machine Learning Hi all, The OASIS seminar is back! (https://www.cs.ox.ac.uk/seminars/oasis/ [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/oasis/__;!!PDi…>) This Friday at 2 PM AM in Lecture Theatre A we are going to have an OASIS talk by Michele Caprio (University of Manchester), titled "Imprecise Probabilistic Machine Learning: Being Precise About Imprecision". The abstract is below. Before the talk some of us are planning to have lunch with the speaker. If you are interested in joining us, please let me know by Thursday morning. The talk is also accessible remotely, at the following Zoom link: https://cs-ox-ac-uk.zoom.us/j/99562853810?pwd=VmJFUlhNbVJwOUpjTE5hUk9LUkMvU… [cs-ox-ac-uk.zoom.us]<https://urldefense.com/v3/__https://cs-ox-ac-uk.zoom.us/j/99562853810?pwd=V…> Meeting ID: 995 6285 3810 Passcode: 983333 For further information see the following links, https://www.cs.ox.ac.uk/seminars/oasis/ [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/oasis/__;!!PDi…> https://www.cs.ox.ac.uk/seminars/2688.html [cs.ox.ac.uk]<https://urldefense.com/v3/__https://www.cs.ox.ac.uk/seminars/2653.html__;!!…> All the best, Paolo --- Speaker: Michele Caprio (University of Manchester) Title: Imprecise Probabilistic Machine Learning: Being Precise About Imprecision Abstract: This talk is divided into two parts. I will first introduce the field of “Imprecise Probabilistic Machine Learning”, from its inception to modern-day research and open problems, including motivations and clarifying examples. In the second part, I will present some recent results that I've derived on Imprecise Markov Processes. I will introduce the concept of an imprecise Markov semigroup Q. It is a tool that allows to represent ambiguity around both the initial and the transition probabilities of a Markov process via a compact collection of plausible Markov semigroups, each associated with a (different, plausible) Markov process. I will use techniques from geometry, functional analysis, and (high dimensional) probability to study the ergodic behavior of Q. I will show that, if the initial distribution of the Markov processes associated with the elements of Q is known and invariant, under some conditions that also involve the geometry of the state space, eventually the ambiguity around their transition probability fades. I call this property ergodicity of the imprecise Markov semigroup, and I will relate it to the classical notion of ergodicity. I will present ergodicity when the state space is Euclidean or a Riemannian manifold. The importance of my findings for the fields of machine learning and computer vision will also be discussed. This talk is based on the following work, https://arxiv.org/abs/2405.00081 [arxiv.org]<https://urldefense.com/v3/__https://arxiv.org/abs/2405.00081__;!!PDiH4ENfjr…>, where I also extend the results to the case where the state space is an arbitrary measurable space.

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Next SIPTA virtual seminar: Alessio benavoli on "Learning from preferences and choice functions", 24th October (3pm Paris time)
by sdesterc Oct. 14, 2024

Oct. 14, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 24th of October (Thursday). The zoom link for this seminar is https://utc-fr.zoom.us/j/89110869537 For this new seminar, we are very happy to have Alessio Benavoli as our speaker. Alessio Benavoli is Associate Professor in Statistics at the School of Computer Science and Statistics, Trinity College Dublin, Ireland. Alessio is a widely recognised expert in imprecise probability theories, in which he has done foundational work, and has connected imprecise probabilities to a bunch of different fields such as Machine Learning, Artificial intelligence, Quantum Mechanics, Control, ... On the 24th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Learning from preferences and choice functions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 24th of October, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=2tGQi8tpVvY&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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FW: Call for Papers: IUKM 2025, 17 - 19 March 2025, Ho Chi Minh City, Vietnam (Extended deadline)
by Kreinovich, Vladik Oct. 2, 2024

Oct. 2, 2024

FYI, imprecise probabilities are one of the highlighted topics -----Original Message----- From: Van Nam Huynh <huynh.vannam(a)gmail.com> Sent: Wednesday, October 2, 2024 9:09 AM Subject: Call for Papers: IUKM 2025, 17 - 19 March 2025, Ho Chi Minh City, Vietnam (Extended deadline) [Apologies for cross-posting. Your help in circulating this call for papers to potentially interested parties is highly appreciated.] ———————————————————————————————————————————————————— CALL FOR PAPERS ———————————————————————————————————————————————————— IUKM 2025: The Eleventh International Symposium on INTEGRATED UNCERTAINTY in KNOWLEDGE MODELLING and DECISION MAKING 17 - 19 March 2025, Ho Chi Minh City, Vietnam Conference website: https://www.jaist.ac.jp/IUKM/IUKM2025/ Submission deadline: 15 October, 2024 (Extended) ———————————————————————————————————————————————————— The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) aims to provide a forum for exchanges of research results, ideas for and experience of application among researchers and practitioners involved with all aspects of uncertainty management and application. The Eleventh International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2025) will be held in Ho Chi Minh City, Vietnam during 17-19 March, 2025, and be jointly organized by Industrial University of Ho Chi Minh City, University of Science (Vietnam National University Ho Chi Minh City), and Japan Advanced Institute of Science and Technology (JAIST). ———————————————————————————————————————————————————— Proposal for special sessions and workshops is encouraged and welcome. List of Topics: Relevant topics for the IUKM 2025 Symposium include (but are not limited to) the following: —————Theory and Methodology————— Uncertainty formalisms: Bayesian probability, Dempster-Shafer theory, imprecise probability, random sets, rough sets, fuzzy sets and interval methods Modelling uncertainty and inconsistency in big data Learning and reasoning with uncertainty Logics for reasoning under uncertainty Uncertainty modelling in machine learning and deep learning Information fusion and knowledge integration in uncertain environments Decision making under various types of uncertainty Aggregation operators for decision making Copulas for dependence modelling Granular and soft computing Computational intelligence —————Application————— Data mining and knowledge discovery Multi-agent reinforcement learning Ontology engineering and Semantic Web Privacy preserving data analysis Intelligent data analysis and modelling Agents and argumentation Natural language processing Medical informatics and bioinformatics Ranking and recommendation systems Big data and cloud computing Social network analysis and mining Sensor fusion System identification and modelling Diagnosis and reliability Decision support systems Kansei/affective engineering Service computing Engineering management Supply chain management Environmental management Economics and econometrics Statistics and Applications --------------------------------------------------- Paper Submission and Publication: The authors are invited to submit their full papers by 15 October, 2024. The submissions will be peer-reviewed for originality and scientific quality. As done in previous editions, the proceedings of IUKM 2025 will be published by Springer-Verlag in the Lecture Notes in Artificial Intelligence series, and be available at the Symposium. ————————————————————————— _______________________________________________ General Chairs: Masahiro Inuiguchi (Osaka University, Japan) Hieu T. Huynh (Industrial University of Ho Chi Minh City, Vietnam) Program Chairs: Van-Nam Huynh (Japan Advanced Institute of Science and Technology, Japan) Katsuhiro Honda (Osaka Prefecture University, Japan) Bac H. Le (University of Science, Vietnam National University (VNU)-Ho Chi Minh City, Vietnam)

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2024 SIPTA School: Lecture recordings/materials & recap
by Alexander Erreygers Sept. 27, 2024

Sept. 27, 2024

Dear IP enthusiasts and sympathisers, It’s been more than a month already since the eleventh edition of the SIPTA School on Imprecise Probabilities took place in Ghent, so about time for us to announce that the recordings of (selected) lectures are available on SIPTA's YouTube channel<https://www.youtube.com/watch?v=gyDqpSY5B5s&list=PLXsgvF2_g5HsKtgnqhuW9sWQA…> and that all of the lecture material (slides, notebooks, …) is available on the school’s website<https://school24.sipta.org/programme>. If you want to get an even better idea of the nice atmosphere during the school, we encourage you to read Adrián Detavernier’s post on the SIPTA blog<https://sipta.org/blog/school-2024/> — although sometimes pictures<https://school24.sipta.org/photo-gallery/> do say more than words. Kind regards, Floris Persiau and Alexander Erreygers The 2024 SIPTA School organisers

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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur July 11, 2024

July 11, 2024

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl<https://uai.win.tue.nl/>) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in mathematics, computer science, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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[CfP] Call for Contributions - WSCL @ ECAI 2024 Workshop - Deadline Extension
by Andrea Campagner July 1, 2024

July 1, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) workshop Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We welcome different types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work; ● review transfer for papers rejected at ECAI main track. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. If you want to take advantage of this option, aside from submitting your contribution to the workshop, you should also fill-in the form at https://forms.gle/QPav5rHVMCuSMhFZ9 before the 11th July 2024 Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 12th July 2024 ● Review Transfer submission deadline: 12th July 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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IPMU2024 - Call for Participation
by Christophe Marsala June 24, 2024

June 24, 2024

Dear All, The program of the IPMU 2024 conference is now online: https://ipmu2024.inesc-id.pt/?page_id=806 It is still time to register to attend the conference in Lisbon! Best regards, Christophe Marsala ----------------------------------------------- * 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: March 8th, 2024 - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 *- Conference: July 22nd - 26th, 2024* /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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SUM 2024 - Call with EXTENDED DEADLINE (11 July)
by sdesterc June 21, 2024

June 21, 2024

***Apologies if you receive multiple copies. Please disseminate to potentially interested colleagues.*** Dear colleagues, Due to various requests, we have decided to extend the SUM 2024 submission deadline to the 11 July. Please find below the main information regarding the conference. ========================================= Conference announcement + key dates ***EXTENDED*** ========================================= The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 24, 2024 Paper Submission: July 11, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Today's SIPTA seminar: Eyke Hüllermeier, "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning"
by Jasper De Bock June 14, 2024

June 14, 2024

Dear colleagues, In case you hadn’t heard yet: the next SIPTA online seminar on imprecise probabilities (IP) is less than two hours away. These monthly events are open to anyone interested in IP, and are followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The zoom link for today's seminar is https://utc-fr.zoom.us/j/86257697233 For this seminar, we are very happy to have Eyke Hüllermeier as our speaker. Eyke Hüllermeier is a full professor at the Institute of Informatics at LMU Munich, Germany, where he heads the Chair of Artificial Intelligence and Machine Learning. His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 300 articles on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier is President of the European Association for Data Science (EuADS) and Editor-in-Chief of Data Mining and Knowledge Discovery, one of the leading journals in the field of AI. Today at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "the Challenge of Quantifying Epistemic Uncertainty in Machine Learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars<http://sipta.org/events/sipta-seminars>. The zoom link for attending the seminar is also available on that same page. So please join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=tUlb6ybqfpI&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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Scalable Uncertainty Mangement 2024 (November 27-29, Palermo): second call for paper
by sdesterc June 6, 2024

June 6, 2024

Our apologies if you receive multiple copies of this mail. =================================== Conference announcement + key dates =================================== The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are currently bi-annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Call for Contributions - WSCL @ ECAI 2024 Workshop (Last Reminder)
by Andrea Campagner June 4, 2024

June 4, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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SIPTA school 2024: last call for registrations
by Floris Persiau June 3, 2024

June 3, 2024

Dear interested researchers, young(er) and old(er), Only 1 month remains to register for the SIPTA school 2024 (deadline 30 June 2024). So, whether you want to find out why there is more to uncertainty than probabilities, deepen your knowledge on imprecise probabilities, or see how these more general uncertainty models are used and applied in a variety of fields, we urge you to enrol through our registration page<https://school24.sipta.org/registration/>. We recall from previous mails that the school takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. At the moment, a late bird fee of € 125 applies. In return, you’ll get lectures from leading experts in the field, free lunches and coffee breaks, an easy-going pizza night, and a kayak excursion on the canals of Ghent. More information can of course be found on https://school24.sipta.org/. Be there or be square<https://imgur.com/gallery/be-there-be-square-Y2wfm>, Floris & Alexander

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[job] PhD in probabilistic ML @ TU Eindhoven
by Cassio de Campos May 22, 2024

May 22, 2024

Dear all, We are currently looking for a PhD candidate in probabilistic machine learning; please forward the information below to any parties you think might be interested! We are particularly interested in imprecise probability related topics. best regards, cassio. --- Are you interested in working on foundational issues of robustness and reliability of probabilistic AI? Are you motivated to translate your theoretical results to real-world problems in healthcare? Then come join us as our next PhD-candidate in the Uncertainty in AI group! The Uncertainty in Artificial Intelligence (UAI) group is a growing group embedded in the Data and AI (DAI) cluster at the Eindhoven University of Technology (https://dai.win.tue.nl) In the DAI cluster, we aim at developing foundations of AI for the present and the future. This includes the design of new AI methods, development of AI algorithms, and tools with a view at expanding the reach of AI and its generalization abilities. In particular, we study foundational issues of robustness, safety, trust, reliability, tractability, scalability, interpretability, and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together with the successful candidate and in line with the NWO Perspectief Project Personalised Care in Oncology (www.personalisedcareinoncology.nl) The research topics may include, but are not restricted to: * Probabilistic graphical models (Markov, Bayesian, credal networks) * Causality: Theory and application * Cautious AI, including imprecise probabilities * Robust stochastic processes * Tractable models and decision-making * Online/continual learning with evolving data Job requirements * Master’s degree in Mathematics, Statistics, Computer Science, or a related field * Excellent analytical and mathematical skills * Affinity with developing theoretical results * Excellent algorithmic skills (including realizing it via coding) * Excellent academic writing and presentation skills * Proficiency in English (written and spoken) * Desire to conduct excellent research and publish in high quality conferences and journals * Independent thinker and self-responsibility * Ability and desire to collaborate and work in teams * Ability and desire to support teaching and to co-supervise bachelor and master students For more information and applying (deadline 23 June 2024), please see https://jobs.tue.nl/en/vacancy/phd-in-probabilistic-machine-learning-108125… If you have further questions, please don't hesitate to contact me! Best, dr. Thomas Krak t.e.krak [at]tue.nl Assist. Prof. in UAI group Eindhoven University of Technology

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New post on the SIPTA blog
by Van Camp, Arthur May 15, 2024

May 15, 2024

Dear IP enthusiasts, Just over one month after the previous update, the SIPTA blog<https://sipta.org/blog/> has another new blogpost. You can learn more about Loïc Adam's doctoral research<https://sipta.org/blog/thesis-loic/> on learning preferences under severe uncertainty. Kind regards, Arthur Van Camp

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PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence
by Van Camp, Arthur May 8, 2024

May 8, 2024

PhD Position at Eindhoven University of Technology (TU/e) in the area of Uncertainty in Artificial Intelligence Deadline: 2 June 2024 The Uncertainty in Artificial Intelligence Group (https://uai.win.tue.nl) at Eindhoven University of Technology has an open position for a PhD student. The employment is full time for five years, with an intermediate evaluation (go/no-go) after nine months. The PhD research's more specific area is imprecise probability theory. The research focuses on bringing the theory of choice functions to applications. This project allows for doing fundamental research, with the aim of advancing the theory towards applications. The candidate should hold a master's degree in computer science, mathematics, or a related field. Further details about this position, and a link to the application system, can be found at https://jobs.tue.nl/en/vacancy/phd-in-uncertainty-in-artificial-intelligenc…. Applications should be submitted by 2 June 2024 or earlier. For further information, please contact Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>).

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Davide Elio Ciucci May 6, 2024

May 6, 2024

Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it <mailto:andrea.campagner@unimib.it> (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it <mailto:davide.ciucci@unimib.it> ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr <mailto:sebastien.destercke@hds.utc.fr> ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es <mailto:luciano@uniovi.es>

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CFP: 8th International Conference on Belief Functions (BELIEF 2024), Belfast, UK, Sept 2-4, 2024
by Thierry Denoeux April 24, 2024

April 24, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…> The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 30, 2024: Paper submission deadline (extended) * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=S1Zkd042VWdrZG5qQUxxWkcxtM9e_ll4Bo…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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Next SIPTA virtual seminar: 30th April (3pm Paris time), Christoph Jansen on decision making applied to ML and stat
by sdesterc April 18, 2024

April 18, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 30th of April (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85460316690 For this new seminar, we are very happy to have Christoph Jansen as our speaker. Christoph Jansen is currently a postdoctoral researcher and habilitation candidate at the Department of Statistics of LMU Munich, where he works on decision making in complex and weakly informed systems, with applications to machine learning and statistics. On the 30th of April, at 15:00 paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Decision making under weakly structured information with applications to robust statistics and machine learning”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 30th of April, and join us for the occasion. And for those who missed the previous seminars and want to catch up, or simply want to see them again and again, they are online at https://www.youtube.com/playlist?list=PLXsgvF2_g5Ht-BYPWsSjcunA3SgNiuw51 See you at the seminar! Sébastien, Enrique and Jasper

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro April 17, 2024

April 17, 2024

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: April 29, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master's degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is June 2024 (or as can be arranged by mutual agreement). For further information, please contact Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by April 29th, 2024.

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Two new posts on the SIPTA blog
by Alexander Erreygers April 12, 2024

April 12, 2024

Dear IP enthusiasts and sympathizers, Still looking for some weekend reading? The SIPTA blog<https://sipta.org/blog> has got you covered with not one but two new — or at least recently new — posts. You can learn more about Arianna Casanova’s doctoral research on rationality and desirability<https://sipta.org/blog/thesis-arianna/>, or eavesdrop on a conversation between Michele Caprio and Eyke Hüllermeier<https://sipta.org/blog/interview-eyke/> on Eyke's career, the challenges of using imprecise probabilities in the field of machine learning, and much more. Expect more blog posts like this in the near future! Kind regards, Alexander Erreygers SIPTA's Executive Editor PS: In the SIPTA Seminar on 30 April 2024, Christoph Jansen will be speaking about decision making under weakly-structured information; read the abstract of his talk here<http://localhost:1313/events/sipta-seminars/>.

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Call for Contributions - WSCL @ ECAI 2024 Workshop
by Andrea Campagner April 10, 2024

April 10, 2024

(Apologies for multiple postings) Call for Contributions Weakly Supervised and Cautious Learning (WSCL) Bridging machine learning and uncertainty management Workshop Information Co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024) Location: Santiago de Compostela, Spain Dates: 19-20th October 2024 Website: https://sites.google.com/unimib.it/wscl2024/ In recent years, machine learning (ML) has been increasingly applied in a variety of settings, with promise to analyze huge and heterogeneous volumes of data, improve decisional accuracy, and ease human labor. These systems have been predominantly built based on the supervised learning paradigm, which relies on the availability of huge amounts of data, assumed to be reliably labeled by human experts. However, with this increasing interest has also come the realization that the real-world is often far from the idealized perfection assumed in the supervised paradigm: data can be missing or noisy; supervision can be costly to obtain or have veracity issues; human users could fail at appropriating technologies based on ML, due to the incapability of ML models at reliably conveying their uncertainty. As a result, recently, increasing interest has been devoted to the development of techniques capable of dealing with these issues. These include uncertainty quantification and cautious learning, where the ML models convey to the users their uncertainty to improve reliability and reduce cognitive biases; as well as weakly supervised learning and its variants, such as incomplete supervision, where only a subset of training data is labeled; imprecise supervision, where the training data is coarse-grained labeled; and inaccurate supervision, where the labels are not always true. At the same time, due to the inherently multidisciplinary nature of these issues, there has been an increasingly deepened dialogue between ML and neighboring scientific fields, such as knowledge and uncertainty representation, as well as human-computer interaction, crowd-sourcing and active learning. The aim of this workshop is to explore how machine learning and related methods can handle weak supervision and provide more cautious and reliable support in the presence of data imperfection, as well as encourage broad discussion between ML researchers and experts in neighboring related fields whose underlying principles and foundations are central to allow the functioning of systems built on ML in less than perfect real-world settings. Topics of Interest We invite all researchers in AI and neighboring disciplines interested in the interplay between Machine Learning and Uncertainty to submit their work to WSCL workshop, which will be held during 19-20 October 2024, as a satellite event to the 27th European Conference on Artificial Intelligence (ECAI 2024). We welcome submissions on topics related to both weakly supervised learning and uncertainty quantification. More generally, the topics of interest include: ● Weakly supervised learning (including, learning from noisy data, multi-instance learning, learning from imprecise data, ...); ● Uncertainty quantification (including, probabilistic and Bayesian machine learning, conformal prediction, three-way decision, set-valued approaches, possibilistic and evidential machine learning, ...); ● Uncertainty management and non-standard theories of uncertainty (including, foundations of probability theory, rough sets, fuzzy sets and possibility theory, evidence theory and belief functions, imprecise probabilities and credal sets, ...); ● Conformal prediction and related methods (including, Venn prediction, online learning, compression models, algorithmic information theory); ● Human-AI interaction and uncertainty communication; ● Active learning; ● Crowd-sourcing and data perspectivism Submission Instructions We will welcome three types of submissions: ● full original papers (up to 7 pages); ● extended abstracts (up to 4 pages); ● already published work. Each accepted submission, irrespective of the type, will be assigned an oral presentation slot. Also, articles rejected at the main track of the ECAI 2024 conference, but relevant to the topics of interest of the workshop, may be transferred at the WSCL workshop based on the ECAI reviews. Contributions should be submitted through the chairingtool platform, available at the following link: https://chairingtool.com/conferences/WSCL24/MainTrack/ Original submissions (both full papers and extended abstracts) should be formatted according to the ECAI formatting instructions, using the ECAI 2024 template and formatting requirements specified by ECAI. The purpose of workshop presentations is to get early feedback on new ideas and to stimulate discussions between researchers interested in weakly supervised and cautious learning. As such, there will be no formal proceedings, but we may post accepted papers on the workshop website for the benefit of the workshop participants if the authors agree to this (and the paper has not already been published). Also, depending on the number of accepted contributions we may decide on organizing a special issue on a relevant scientific journal. Key Dates ● Submission deadline: 30th June 2024 ● Accept/Reject communications: 18th July 2024 ● Early registration deadline: 15th August 2024 ● Workshop date: 19-20th October 2024 Organizers ● Andrea Campagner, IRCCS Ospedale Galeazzi Sant’Ambrogio (Milan, Italy), andrea.campagner(a)unimib.it (primary contact person) ● Davide Ciucci, University of Milano-Bicocca (Milan, Italy), davide.ciucci(a)unimib.it ● Sébastien Destercke, Heudyasic Laboratory, CNRS (Compiègne, France), sebastien.destercke(a)hds.utc.fr ●Luciano Sànchez, University of Oviedo(Oviedo,Spain), luciano(a)uniovi.es

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Call for New Elsevier Textbooks - Probability and Statistics 1e
by Cohen, Stephanie (ELS-HBE) April 4, 2024

April 4, 2024

Dear Executive Editor at SIPTA, I hope this email finds you well this April. My name is Stephanie Cohen, and I'm the Acquisitions Editor for Physical Sciences at Elsevier's STEM Education Textbook program, based in New York, NY. I was hoping to send out a call to your list-serv for individuals who would be interested in authoring a new textbook. Recently, I've been researching and gathering faculty feedback on a range of related courses in Statistics & Probability, so that I can better understand student and professor needs at the undergraduate and graduate levels, as well as current resources. We have identified Probability & Statistics as an area where a new, carefully considered textbook may be empowering both for students and faculty, both here in the U.S. and globally. Currently a smattering of different textbooks appear to be in use. Currently, I am seeking potential author(s) for a title in this vein, as well as further feedback or suggestions, and would be very open to any thoughts you may have, or your own in involvement in authoring a textbook. There is certainly room for adjustments or textbook topics other than the proposed one above for a new textbook-happy to discuss! Thank you. I would be glad to share more information about our book development processes as well, or have a call to answer any questions anyone might have. All my best, Stephanie Cohen Stephanie Cohen Acquisitions Editor, Physical Science Textbooks ELSEVIER | Global Content Partners St.cohen(a)elsevier.com<mailto:St.cohen@elsevier.com>

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SIPTA School 2024: (Re)mind the dates!
by Floris Persiau April 2, 2024

April 2, 2024

To all interested researchers, young(er) and old(er), fast(er) and slow(er), Since the early bird deadline of the SIPTA School 2024 is approaching, we like to remind you to bear the following in mind: * If you want to make use of the early bird fee, you should register<https://school24.sipta.org/registration/> before 15 April 2024. The same deadline applies if you want to make use of our option to rent a private room for the duration of the summer school. * We have 5 grants available for (partially) covering your accommodation and transport costs. If you want to apply for one of these grants, you should do so by 10 April 2024. We remind you that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website<https://school24.sipta.org/>. Date and location The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium. Registration For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to rent a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024. Grants We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration<https://school24.sipta.org/registration/> section of the school’s website. We look forward to welcoming and meeting you in Ghent! Please (continue) spread(ing) the word! With kind regards, Floris Persiau and Alexander Erreygers

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Re: IPMU 2024 call for short papers / extended abstract (extended deadline)
by Kreinovich, Vladik April 1, 2024

April 1, 2024

FYI, papers using imprecise probabilities are always welcome at this series of conferences From: Christophe Marsala Sent: Monday, April 1, 2024 1:23 PM Dear All, Attached you can find the call for short papers / Extended abstract for the next IPMU 2024, the deadline to submit such papers has been extended. Best regards, Christophe Marsala ----------------------------------------------- 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024, Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. Keynote Spearkers * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) Topics and Scope of the Conference Theory, Methods and Tools: Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. Application Fields: Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work. Short papers / Extended Abstracts IPMU will also accept short paper / extended abstracts of up to 4 pages. Short papers’ acceptance will be based on a 1-page abstract that will be checked for appropriateness and relevance. · The 1-page abstract must be submitted through EasyChair system, at the same link of regular papers<https://easychair.org/my/conference?conf=ipmu2024>. Do not enclose any attachment, edit the abstract directly in the online window of the EasyChair system. Submissions without an attached paper will be considered as short papers / extended abstracts. · The abstracts can be submitted to one of the proposed special sessions or the general track of IPMU2024. · Short papers / extended abstracts will be included in the regular conference program and Book of Abstracts, and will be presented orally. · Accepted short papers will not be published by Springer. A separate volume, with its own DOI, containing the accepted works, will be published in open access. Authors may opt to not include their work in this volume. Details regarding the submission of the 4-page document will be provided after the paper acceptance. IMPORTANT DATES - Paper submission: March 8th, 2024 - Notification of acceptance (regular paper): April 16th, 2024 - Short paper / Extended abstract submission : April 23th, 2024 - Camera-ready paper submission: May 7th, 2024 - Early/author registration: May 7th, 2024 - Conference: July 22nd-26th, 2024 General Chair João Paulo Carvalho (Portugal) Program Chairs Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) Publication Chair Fernando Batista (Portugal) Special Session Chair: Anna Wilbik (Netherlands) Publicity Chair Christophe Marsala (France) Executive Directors Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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ISIPTA seminar: errata (Babara Vantaggi, 26th March)
by sdesterc March 20, 2024

March 20, 2024

Dear Colleagues, You will probably have corrected this yourself, but due to an autocorrect function and my own impatience to announce the seminar, there was a mistake in the title date and in the name of our esteemed speaker. This is, and will be a talk by Barbara Vantaggi, on the 26th of March, at 3pm Paris time. Best regards, and sorry for any incovenience. Sébastien

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Next SIPTA seminar: Barbara Vantage (IP and finance), 16th March at 3pm Paris time.
by sdesterc March 20, 2024

March 20, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 26th of March (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86044393366 For this new seminar, we are very happy to have Barbara Vantaggi as our speaker. Barbara Vantage is a Full Professor of Mathematical Methods of Economics, Finance and Actuarial Sciences at the University La Sapienza, Roma. She is well-known for her many contributions to the foundations of (imprecise) probabilistic reasoning under coherence, decision making under uncertainty and their development to financial applications. On the 26th of March at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), she will talk about "A dynamic Choquet pricing rule with bid-ask spreads under Dempster–Shafer uncertainty”, showing how imprecise probabilistic approaches can be useful in financial mathematics. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page, where you will also find announcements of our next seminars. So please mark your calendars on the 26th of March, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=LG4trFXC53g See you at the seminar! Sébastien, Enrique and Jasper

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BELIE 2024 - Call for Papers
by Bi, Yaxin March 18, 2024

March 18, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ The 8th International Conference on Belief Functions (BELIEF 2024) New Dates: September 2nd-4th, 2024 (updated) Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Keynote speakers: Professor Zhi-Hua Zhou, Nanjing University, China Professor Prakash P. Shenoy, University of Kansas, United States Professor Frederic Pichon, Artois University, France ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 2nd-4th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Deadline Extended - 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets)
by Cristina Rottondi March 14, 2024

March 14, 2024

Dear colleagues, I'm sharing the updated CfP of thTX4Nets workshop, with extended submission deadline to April 14. Contributions on uncertainty quantification applied to telecommunication networks are welcome. Best regards, Cristina Rottondi ***Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: April 14, 2024 (extended, firm) Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 6, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Cristina Rottondi, Politecnico di Torino, Italy Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy Marco Savi, University of Milano-Bicocca, Italy

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PhD in Conformal Prediction and Credal Probabilistic Machine Learning
by Michele Caprio March 8, 2024

March 8, 2024

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. You should apply through the official university's website <https://www.se.manchester.ac.uk/phds-science-engineering/?utm_source=course…> and create an account. You should then apply for the PhD Artificial Intelligence CDT program (see attached picture). When asked about "Research details", you can use the project details that you can find here <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…>. You don't need to submit a new research proposal. I hope to hearing from you soon, Yours, Michele Caprio

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PhD @Idsia in Counterfactual Fairness and Causal Explainability
by Antonucci Alessandro March 6, 2024

March 6, 2024

Ph.D. Position @Idsia in the area of Counterfactual Fairness and Causal Explainability Deadline: March 28, 2024 The Dalle Molle Institute for Artificial Intelligence (IDSIA, idsia.ch) of Lugano (Switzerland) has an open position for a PhD student. This is a full-time (100%) position for a student active in the area of Counterfactual Fairness and Causal Explainability. The PhD research focuses on the fairness, explainability, and robustness of machine learning systems within the framework of causal counterfactual analysis using formalisms from probabilistic graphical models, probabilistic circuits, and structural causal models. The successful candidate holds a Master’s degree in Engineering or another STEM field (obtained or close to being obtained). Experience with Pytorch and proficiency in Python are optional but desirable skills. The starting date is May 2024 (or as can be arranged by mutual agreement). For further information, please get in touch with Alessandro Antonucci (alessandro(a)idsia.ch) and Alessandro Facchini (alessandro.facchini(a)idsia.ch) The link for the application is https://www.supsi.ch/en/bando2008. Applications should be submitted by March 28th, 2024.

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IPMU 2024 last call ! (extended deadline: March 8th)
by Christophe Marsala March 1, 2024

March 1, 2024

Dear Sir, Could you, please, forward this announcementof the next IPMU conference to your ISIPTA mailing list? I thank you in advance, Best regards, Christophe Marsala ------------------------------------------------------------- Due to several requests, and to let you enough time to prepare you submission, the deadline to submit papers is extended for the last time to *March 8th, 2024*. Don't miss the opportunity to attend IPMU in Lisboa ! Best regards, Christophe Marsala ----------------------------------------------- *20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU 2024,* Lisbon, Portugal, July 22–26, 2024 https://ipmu2024.inesc-id.pt/ The IPMU conference is organized every two years with the focus of bringing together scientists working on methods for the management of uncertainty and aggregation. It also provides a forum for the exchange of ideas between theoreticians and practitioners in these and related areas. The 2024 edition of IPMU will take place at Instituto Superior Tecnico, University of Lisbon, Portugal, located in a vibrant renovated area 10 minutes from downtown. Lisbon is one of the oldest cities in the world, and full of stories to tell. A city where you feel safe wandering around day or night, where you'll find hotels, restaurants and nightlife to suit every taste, budget and requirement. A city full of authenticity, where old customs and ancient history intermix with cultural entertainment and hi-tech innovation. Lisbon is ageless, but it loves company, being famous for its hospitality and the family-like way it welcomes visitors. Lisbon has been elected World's Leading City Destination at the 2018 World Travel Awards. *Topics and Scope of the Conference **/Theory, Methods and Tools:/* Uncertainty, Computational Intelligence, Bayesian and Probabilistic Methods, Information Theory, Measures of Information and Uncertainty, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Fuzzy Control, Rough Sets, Multiple Criteria Decision Methods, Aggregation Methods, Knowledge Representation, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Ontologies, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Interpretable Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis/Data Science, Explainable AI. /*Application Fields: */Intelligent Systems and Information Processing, Decision Support, Database and Information Systems, Information Retrieval and Fusion, Speech and Natural Language Processing, Image Processing, Multi-Media, Agents, Pattern Recognition, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, Big Data. /IPMU'2024 solicits original research contributions of theoretical and methodological nature as well as application-oriented work./ *IPMU'24 keynote speakers * * Judea Pearl (University of California, Los Angeles, USA) * Keeley Crocket (Manchester Metropolitan University, UK) * Mário Figueiredo (IT / Instituto Superior Técnico, Universidade de Lisboa, Portugal) * Ruth Byrne (Trinity College, Dublin, Ireland) * Thierry-Marie Guerra (Université Polytechnique Hauts-de-France, France) *IMPORTANT DATES* - Special session proposals: December 4th, 2023 - Notification of acceptance special sessions: December 11th, 2023 - Paper submission: *March 8th, 2024*/(last extension)/ - Notification of acceptance: April 5th, 2024 - Camera-ready paper submission: April 30th, 2024 - Early/author registration: April 30th, 2024 - Conference: July 22nd-26th, 2024 /General Chair /João Paulo Carvalho (Portugal)/ Program Chairs/ Marek Reformat (Canada) Marie-Jeanne Lesot (France) Susana Vieira (Portugal) /Publication Chair/ Fernando Batista (Portugal) /Special Session Chair:/ Anna Wilbik (Netherlands) /Publicity Chair/ Christophe Marsala (France) /Executive Directors/ Bernadette Bouchon-Meunier (France) Ronald R. Yager (USA) ----------------------------------------------

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Call for paper: SUM 2024 conference in Palermo (November 27-29)
by sdesterc March 1, 2024

March 1, 2024

*** please disseminate this call to whomever may be interested. We apologise in case you received multiple copies *** =================================== Conference announcement + key dates =================================== The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2020 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet) ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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CFP: BELIEF 2024, Belfast, UK, Sept 4-6, 2024
by Thierry Denoeux March 1, 2024

March 1, 2024

****** Call for Papers ****** https://bfasociety.org/Belief2024/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…> The 8th International Conference on Belief Functions (BELIEF 2024) Dates: September 4th-6th, 2024 Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ Early Bird Registration Open Until: 22nd July 2024 Early Bird Registration: £325 (€380) Regular Registration: £375 (€440) Early Bird Student Registration: £225 (€265) Student Registration: £275 (€325) ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://antiphishing.vadesecure.com/v4?f=SnpNUUNxek1BTWh6ZFZjaXX1rV-mm6_xB2…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk <mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu <mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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On the necessity of causality
by Marco Zaffalon Feb. 26, 2024

Feb. 26, 2024

Dear SIPTAnts, There’s this new paper that looks really cool and fundamental: https://arxiv.org/pdf/2402.10877.pdf. Loosely speaking, it shows that causal models are somewhat of a necessary consequence of being robust to a variety of conditions. Enjoy the read, Marco

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur Feb. 26, 2024

Feb. 26, 2024

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) https://www.smps2024.com Salzburg (Austria), September 3-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Extended paper submission deadline: March 17, 2024 Author notification: April 21, 2024 Conference: September 3-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage https://www.smps2024.com. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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CFP: special session on imprecise probabilities at IPMU'2022 (deadline extended to march 1)
by IGNACIO MONTES GUTIERREZ Feb. 14, 2024

Feb. 14, 2024

Dear Siptians, Please, find attached the 2nd CFP for the special session on IP at IPMU conference. Note that the submission deadline has been extended. Best regards %%%%%%%%%%%%%%% **Apologies for multiple copies** Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024) https://urldefense.com/v3/__https://ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!R…<https://urldefense.com/v3/__https:/ipmu2024.inesc-id.pt/__;!!D9dNQwwGXtA!Rv…> Lisbon (Portugal), July 22-26, 2024 Important Dates Paper submission (extended!): March 1, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making * algorithmic issues Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es<mailto:imontes@uniovi.es>), University of Oviedo (Spain)

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PhD Opportunity
by Michele Caprio Feb. 8, 2024

Feb. 8, 2024

Dear SIPTian, Are you a Master's student in ML, AI, Statistics, Engineering, or Applied Mathematics and you're interested in a new paradigm for Uncertainty Quantification? Are you an expert in Conformal Prediction and you want to explore its relationship with model-based approaches? Then consider applying to work with me on these topics <https://www.findaphd.com/phds/project/relationship-between-conformal-predic…> for your PhD! You'd be part of the UKRI AI Centre for Doctoral Training <https://ai-decisions-cdt.github.io/hugo-pages/#about> (CDT) in Decision Making for Complex Systems, a newly-established joint CDT between the University of Manchester and Cambridge University. Collaborations are possible and encouraged between students, supervisors <https://ai-decisions-cdt.github.io/hugo-pages/#people>, and members of the Manchester Centre for AI Fundamentals <https://www.idsai.manchester.ac.uk/research/centre-for-ai-fundamentals/>. I hope to hearing from you soon, Yours, Michele Caprio

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Special Session on ML under Weakly Structured Information at SMPS 2024
by Jansen, Christoph Feb. 8, 2024

Feb. 8, 2024

Call for papers Special Session on Machine learning and decision making under weakly structured information at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) Salzburg (Austria), September 4-6, 2024 Session topic and goal This session deals with machine learning problems that appear under weak information structures and, therefore, fail to be handled by traditional methods. The reason for the weak structure can be manifold, ranging from complex data and non-typical scales of measurement to generalized uncertainty models such as imprecise probabilities. In particular, the topics of the session include (but are not limited to): * Imprecise probabilities in ML and statistics * Preferences in ML and statistics * Decision theoretic approaches in ML and statistics * Formal concept analysis in ML and statistics * Non-standard data (e.g. ordinal data, mixed-scaled data) * (Generalized) Bayesian methods in ML and statistics * Uncertainty quantification in ML and statistics * Robustness in decision theory * Robust statistics Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions When submitting the paper, choose the session Machine learning and decision making under weakly structured information in the conference management tool. Papers should be 6-8 pages. All required information can be found on the conference homepage www.smps2024.com<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.smps20…>. Organizers Please let us know if you plan to submit a contribution to this session as soon as possible. Questions or comments can be addressed to: Thomas Augustin, Christoph Jansen, Georg Schollmeyer Ludwig-Maximilians-Universität München (Germany) {thomas.augustin,christoph.jansen,georg.schollmeyer}(a)stat.uni-muenchen.de

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SIPTA virtual seminar 14th February 3pm Paris time: "Mixing Time and Uncertainty. A Tale of Superpositions", Rafael Penaloza
by sdesterc Feb. 7, 2024

Feb. 7, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 14th of February(Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85488837637 For this new seminar, we are very happy to have Rafael Peñaloza Nyssen as our speaker. Rafael Peñaloza Nyssen is currently Associate Professor at the IKR3 Lab of the University of Milano-Bicocca. HIs main interests and contributions are in knowledge representation and logical formalisms to handle various problems. Lately, he has taken a keen interest in reasoning and uncertainty, notably by using imprecisely specified probabilistic information in temporal reasoning. On the 14th of February, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Mixing Time and Uncertainty. A Tale of Superpositions”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 14th of February, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=EI8JSL80RuE See you at the seminar! Sébastien, Enrique and Jasper

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Fwd: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D.
by Michele Caprio Feb. 7, 2024

Feb. 7, 2024

Dear SIPTians, For those of you who are interested in the relationship between Machine Learning and IPs, I'll be giving a talk tomorrow at 12 noon EST. You can find the zoom link in the forwarded email below. Hope to see you there! Yours, Michele ---------- Forwarded message --------- From: Wai-Ping Ng <wng(a)seas.upenn.edu> Date: Mon, Feb 5, 2024 at 7:34 PM Subject: [insuplee_group] PRECISE Seminar (this Thursday 2/8 @noon): Michele Caprio, Ph.D. To: Wai-Ping Ng <wng(a)seas.upenn.edu> *|MC_PREVIEW_TEXT|* View this email in your browser PRECISE Center presents Michele Caprio, Ph.D. Postdoc, University of Pennsylvania Imprecise Probabilities Machine Learning Thursday, 8 February 2024 Noon - 1 pm 3330 Walnut Street Levine Hall Room 307 Philadelphia, PA 19104 For remote attendees, please use this <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> link. ABSTRACT In this talk, I will present Imprecise Probabilities (IPs), from their historic philosophical motivations to their applications to frequentist and Bayesian statistics. In turn, I will explore how the statistical approaches to IPs allowed to start the field of Imprecise Probabilistic Machine Learning, and why such a field is of paramount importance in modern ML. I will provide plenty of references, together with some new results on the comparison between Conformal Prediction and Imprecise Probabilistic Machine Learning, and how the latter can be used to derive regions that are narrower than the conformal ones, while retaining the same probabilistic guarantees. BIO Michele Caprio is a Postdoc at the PRECISE Center <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Pennsylvania <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, under the guidance of Prof. Insup Lee <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is an incoming Lecturer (Assistant Professor) in Machine Learning at the Department of Computer Science <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> of the University of Manchester <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>. He is also part of the Manchester Centre for AI Fundamentals <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, and an incoming Supervisor at the UKRI AI Center for Doctoral Training <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…> in Decision Making for Complex Systems. His main research interests are Uncertainty Quantification in AI and ML, Probabilistic ML, and Imprecise Probabilities. In 2023, he won the IJAR Young Researcher Award <https://urldefense.com/v3/__https://us18.mailchimp.com/mctx/clicks?url=http…>, a prize awarded every two years to a young scholar who demonstrates excellence in research at an early stage of the scientific career. _______________________________________________ insuplee_group mailing list insuplee_group(a)lists.seas.upenn.edu https://lists.seas.upenn.edu/mailman/listinfo/insuplee_group

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SIPTA school 2024: website online and registrations open
by Floris Persiau Feb. 7, 2024

Feb. 7, 2024

To all interested researchers, young(er) and old(er),We’re happy to announce that we’ve finalised the programme of the 11th SIPTA School, and that it can be found on the school’s recently launched website: https://school24.sipta.org/. We recall from our previous mail that the school’s aim is to introduce doctoral students – and other interested researchers – to the basics of imprecise probabilities, from its foundations in (applied) mathematics and logic to its applications in quantum physics, economy and AI. More information on the full programme, the lecturers, etc. can of course be found on the school’s website.DATE AND LOCATION The SIPTA School 2024 takes place from Monday 12 to Friday 16 August 2024 in the wonderful city of Ghent, Belgium,REGISTRATION The registration portal is open as of today. For doctoral students at a Flemish University, the registration fee is € 0 and the deadline for registration is 30 June 2024. For all other participants, the registration fee depends on the moment of registration. There is an early bird fee of € 100, which requires you to register before 15 April 2024. After this deadline, a late bird fee of € 125 will apply, and the deadline for registration is 30 June 2024 as well. All fees include admission to the lectures, lunches, coffee breaks, a pizza night and a kayak session. Moreover, we also provide you with the option to hire a private room for the duration of the summer school, which comes at a cost of € 330. If you want to make use of this option, then you must register before 15 April 2024.GRANTS We can distribute 5 grants to students who experience financial barriers to attending the summer school. In addition to waiving the registration fee, every grant provides free accommodation, and covers (part of) your transport costs up to € 250. The deadline for application is 10 April 2024; more information on how to apply for these grants can be found in the Registration section of the school’s website.We look forward to welcoming and meeting you in Ghent!Please spread the word!With kind regards,Floris Persiau and Alexander Erreygers

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CfP of TX4Nets
by Cristina Rottondi Feb. 6, 2024

Feb. 6, 2024

Dear SIPTA members, I take the liberty to disseminate the CfP of the first edition of the Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets), co-located with IFIP Networking 2024. Contributions on uncertainty quantification with applications to the field of telecommunication networks are welcome. Best regards, Cristina Rottondi *** Please accept our apologies if you receive multiple copies of this call for paper*** ------------------- 1st International Workshop on Trustworthy and eXplainable Artificial Intelligence for Networks (TX4Nets) co-located with IFIP Networking 2024<https://networking.ifip.org/2024/index.php/> Thessaloniki, Greece, 3-6 June 2024 Link to the official workshop website: https://sites.google.com/view/tx4nets2024 ------------------- *** TX4Nets 2024 CALL FOR PAPER *** link to CFP: https://sites.google.com/view/tx4nets2024/call-for-papers Aim and Scope In light of next communication networks characterized by zero-touch network management, network operators have started the deployment of automated AI-based frameworks addressing various use cases including resource allocation, failure prediction and identification, traffic prediction. However, these deployments predominantly function as black boxes, with practitioners unable to comprehend the internal reasoning or decision processes of these automated AI-based frameworks. In this context, eXplainable Artificial Intelligence (XAI) emerges as a promising collection of frameworks and technologies designed to enhance the transparency of black-box models. XAI achieves this by providing explanations for the decisions made, enabling practitioners to eliminate bias influencing models, understand when to trust or distrust model decisions, and gain insights into the problem at hand. In addition to this, it also becomes of paramount importance to design and adopt models and methods that are inherently able to quantify their uncertainty in taking decisions based on conformal prediction. This, in turn, facilitates a reliable and Trustworthy deployment of machine learning and Artificial Intelligence models. While the application of Trustworthy and Explainable Artificial Intelligence has been extensively explored in diverse domains such as healthcare and finance, its implementation in communication networks has been relatively sparse, despite being considered of paramount importance. This workshop seeks to address this gap by shedding light on the potential applications of Trustworthy and Explainable AI in achieving transparent AI-based automation for networking. The primary objective of the workshop is to foster collaboration among AI/ML and telecom engineers, facilitating the sharing and exchange of experiences and ideas related to all aspects of trustworthy and explainable AI for network management. Topics of Interest The topics of interest for TX4Nets 2024 include, but are not limited to: * XAI for Model Trustworthiness in Networks * XAI for Trustworthy Network management * XAI-driven Network Performance Optimization * Trustworthiness in AI Models for Communication Networks * XAI for trustworthy AI in Optical, Wireless, Microwave, B5G/6G Networks * XAI for Optical, Wireless, or Microwave Networks * XAI for Autonomous Networks * XAI for Zero Touch Networks * XAI for the Edge/Cloud and Internet-of-Things * XAI for network security, privacy, resilience, reliability, and safety * XAI Applied to Networking * XAI Applied to Network Management * XAI applied to Failure Management * Security and Explainability in AI for Communication Networks * Reliability and Explainability in AI for Communication Networks * Human-in-the-Loop Systems for AI in Communication Networks * Fair Federated Learning for Communication Networks * Fair AI-based Resource Allocation in Communication Networks * Model Uncertainty Quantification and Explainability for Communication Networks * Model Uncertainty Quantification and Explainability for Network Security * Conformal Predictions Applied to Communication Networks * Impact of Adversarial Attacks on Communication Networks AI Model Trustworthiness * Case Studies and Deployments of XAI in Communication Networks * XAI for Open RAN in 6G Networks * AI for trustworthy IoT and Autonomous System Applications * Ethical Considerations in AI for Communication Networks * Interoperability and Standards in AI for Communication Networks * Regulatory Landscape for AI in Communication Networks * New Business Models for XAI * Explainable Reinforcement Learning in Communication Networks * Causal Machine Learning for Networking * Causal Reinforcement Learning for Networking * XAI for federated learning-based solutions of 5G/6G and future networks * XAI for transfer learning-based solutions of 5G/6G and future networks * XAI for digital twin-based solutions of 5G/6G and future networks Important Dates Paper Submission: March 27, 2024 Notification of Acceptance: April 27, 2024 Camera-ready Submission: May 2, 2024 Workshop Date: 3 June 2024 (tentative) Paper Submission Authors are invited to submit original contributions that have not been published nor has been submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references. Papers must be submitted electronically in PDF format on EDAS through this link: https://www.edas.info/newPaper.php?c=31469&track=123080 All papers will be peer reviewed and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library. At least one author of each accepted paper is required to register and present the work in the workshop. Further information can be found on the official website of TX4Nets 2024: https://sites.google.com/view/tx4nets2024 Workshop Organizers Cristina Rottondi, Politecnico di Torino, Italy Marco Savi, University of Milano-Bicocca, Italy Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland Tania Panayiotou, University of Cyprus, Cyprus Sebastian Troia, Politecnico di Milano, Italy

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Special session on imprecise probabilities at SMPS 2024
by Van Camp, Arthur Feb. 2, 2024

Feb. 2, 2024

Call for papers Special Session on THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES to be held at the 11th International Conference on Soft Methods in Probability and Statistics (SMPS 2024) http://www.smps2024.com<%22> Salzburg (Austria), September 4-6, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): • (coherent) uncertainty models • non-additive set functions • choice functions • sets of desirable gambles • qualitative reasoning about uncertainty • limit laws for imprecise probabilities • philosophical foundations • elicitation and inference • robust statistics • decision making • algorithmic issues Applications include (but are not limited to): • data mining • classification and machine learning • risk and reliability analysis • finance • life sciences • system control and design Dates Paper submission deadline: February 29, 2024 Author notification: April 21, 2024 Conference: September 4-6, 2024 Submissions Please select the Invited Session “Theoretical and applied aspects of imprecise probabilities” when submitting your paper in the conference management tool www.conftool.net/smps2024/<http://www.conftool.net/smps2024/>. Papers submitted should be between 6 and 8 pages. Required LaTeX style etc., a link to the submission platform, and additional information can be found on the conference homepage www.smps2024.com<http://www.smps2024.com>. Elsevier will sponsor SMPS 2024 with a best paper award of €1000. Additionally, there will be a special issue related to the conference in the International Journal of Approximate Reasoning. Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Arthur Van Camp (a.van.camp(a)tue.nl<mailto:a.van.camp@tue.nl>), Eindhoven University of Technology (The Netherlands) Enrique Miranda (mirandaenrique(a)uniovi.es<mailto:mirandaenrique@uniovi.es>), University of Oviedo (Spain)

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Re: IMEKO 2024 World Congress - Deadline extended!
by Kreinovich, Vladik Jan. 31, 2024

Jan. 31, 2024

FYI, IMEKO 2024 XXIV World Congress of the International Measurement Confederation IMEKO,<https://www.imeko2024.org/> Hamburg, Germany, August 26-29, 2024, https://www.imeko2024.org/home measurement-related papers that use imprecise probabilities are always welcome at this series of conferences From: haide.Borrmann(a)ptb.de<mailto:haide.Borrmann@ptb.de> <haide.Borrmann(a)ptb.de<mailto:haide.Borrmann@ptb.de>> On Behalf Of imeko2024(a)ptb.de<mailto:imeko2024@ptb.de> Sent: Wednesday, January 31, 2024 6:19 AM [cid:image001.gif@01DA5433.D0B99720] Organizing Committee Secretariat WC2024 Physikalisch-Technische Bundesanstalt Bundesallee 100 D-38116 Braunschweig E-Mail: imeko2024(a)ptb.de<mailto:imeko2024@ptb.de> https://www.imeko2024.org/

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FW: Call for abstracts for ISRERM 2024
by Kreinovich, Vladik Jan. 31, 2024

Jan. 31, 2024

FYI, imprecise probabilities are one of the highlighted topics From: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> <beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de>> Sent: Monday, January 29, 2024 9:35 AM [Institute for Risk and Reliability Logo] [University of Hannover Logo] Call for abstracts for ISRERM 2024 [https://cossan.irz.uni-hannover.de/uploadimages/image/Header.png] Dear Colleague, It's our pleasure to invite you to submit an abstract to the International Symposium on Reliability Engineering and Risk Management (ISRERM) to be held at Hefei University of Technology, China, from October 18th to 21st, 2024. Please also take a look at several mini-symposia. The detailed description of the these mini-symposiums can be found here<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkpfVQRSBlcGWR8FDANXSQwO…> as well as below. The International Symposium on Reliability Engineering and Risk Management (ISRERM) is a significant biennial international conference that serves as a pivotal platform for the exchange of knowledge and innovative applications in the fields of reliability-based, risk-based, and uncertainty-informed decision making. Its primary focus lies in addressing safety-related aspects throughout the entire lifecycle of engineering systems. Over the years, ISRERM has garnered international recognition, with a rich history of hosting conferences at esteemed institutions worldwide. Past symposiums have been hosted at prestigious locations such as Tongji University, Shanghai, China (2008, 2010), Kanagawa University, Yokohama, Japan (2012), Taiwan University of Science & Technology, Chinese Taipei (2014), Yonsei University, Seoul, South Korea (2016), National University of Singapore, Singapore (2018), Beijing University of Technology, China (2020), and Leibniz University Hannover, Germany (2022). It is with great excitement that we announce the forthcoming 9th ISRERM, scheduled to be held at Hefei University of Technology, China, from October 18th to 21st, 2024. ISRERM serves as a platform fostering interdisciplinary dialogue on reliability assessment, risk and uncertainty quantification, mitigation, and management, as well as effective decision-making strategies. Our primary objective is to bridge the knowledge gaps among diverse disciplines grappling with similar challenges and to transform scholarly discussions into strong frameworks for dealing with emerging reliability and risk management problems. The deadline for the abstract submission is February 29, 2024. The official registered submission website is as follows: https://isrerm2024.aconf.org<https://isrerm2024.aconf.org/> 1. If you are visiting this page for the first time, please create a new profile by clicking on the homepage "Sign up". Once the profile has been created, it is possible to access your profile again at any time, by entering your email and password. 2. Please log in to fill in and save your personal information ("Dashboard" → “My Profile"). Next click the “Downloads” tab on the left side of homepage to download the template file of the abstract (ISRERM_2024_Abstract_templates.zip). 3. Submit the abstract in the submission area. You can get to the submission area through the “Submission” tab on the left side of homepage. Information about Registration, Exhibition, and Sponsorship opportunities will be made available soon. Please visit regularly the symposium website for news and updates. If you have any question, please feel free to contact the organizers via the following e-mail address: isrerm2024(a)hfut.edu.cn<mailto:isrerm2024@hfut.edu.cn> With warm regards Yours sincerely Jie Li, Conference Chair, Academician of CAS, EASA, University Distinguished Chair Professor, Tongji University Jingfeng Wang, Chair of Local Organizing Committee, Professor, Hefei University of Technology Lunhai Zhi, Co-Chair of Local Organizing Committee, Professor, Hefei University of Technology Yongbo Peng, Co-Chair of Local Organizing Committee, Professor, Tongji University ISRERM 2024 Secretariat Hefei University of Technology Hefei 230009, China Email: isrerm2024(a)hfut.edu.cn<mailto:isrerm2024@hfut.edu.cn> Website: https://isrerm2024.aconf.org<https://isrerm2024.aconf.org/> ________________________________ MS03: Uncertainty Modeling and Quantification for Model Updating and Structural Health Monitoring Abstract: Structural Health Monitoring (SHM) aims at condition assessment and service life monitoring of structural systems, often based on the availability of system vibration data. Model updating has been developed as a key technique for SHM, where the parameters or the numerical model itself are calibrated to tune the model prediction close to the actual system behaviour. However, uncertainties are inevitable in both the measuring and modeling processes, which leads to the necessity of non-deterministic approaches to modeling and quantifying the uncertainties. This Mini-Symposium is dedicated to gathering experts from both academia and industries to showcase the latest advances on the uncertainty treatment in model updating and SHM and their practical applications. * Topics for potential contributions include but are not limited to: * Stochastic/interval model updating; * Inverse quantification of mixed aleatory and epistemic uncertainty; * On-line model updating for nonlinear dynamic systems; * Model updating and SHM applications in large-scale structures. MS03 Organizers: * Masaru Kitahara, The University of Tokyo, Tokyo, Japan. E-mail: kitahara(a)bridge.t.u-tokyo.ac.jp<mailto:kitahara@bridge.t.u-tokyo.ac.jp> * Michael Beer, Leibniz University Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Siu-Kui Au, Nanyang Technological University, Singapore, Singapore. E-mail: ivanau(a)ntu.edu.sg<mailto:ivanau@ntu.edu.sg> * Takeshi Kitahara, Kanto Gakuin University, Yokohama, Japan. E-mail: kitahara(a)kanto-gakuin.ac.jp<mailto:kitahara@kanto-gakuin.ac.jp> ________________________________ MS05: Stochastic finite element methods and their applications on model updating Abstract: Stochastic finite element method is an important tool widely used in many aspects such as reliability analysis, safety assessment and model updating et al. At present, various stochastic finite element methods have been developed. As typical representatives among these methods, the perturbation methods and the Garlekin based methods like PC and GPC, have been successfully applied to solve the stochastic problems in extensive industrial fields. However, highly accurate and efficient stochastic finite element methods are still developing to implement the stochastic analysis of large-scale structural models. This research direction has been attracting many researchers’ attention. Model updating is a key content in structural health monitoring. When considering the randomness of structural modelling and measurement data, the stochastic model updating becomes unavoidable. To solve stochastic model updating problems, the stochastic finite element methods can play a significant role instead of the usually used Bayesian methods. This direction is a hot topic in current structural model updating, which has a very good application prospect in practical structural health monitoring. The symposium aspires to create a conducive environment for scholars, researchers, and practitioners to exchange insights and findings, fostering collaborative endeavors and innovations in the domain of stochastic finite element method. The inclusion of diverse theoretical explorations and practical applications is anticipated to provide a comprehensive perspective on the evolving role of stochastic finite element method to address the inverse problem in health monitoring. Topics for potential contributions include but are not limited to: * Recent advances in stochastic finite element method. * Advanced computational techniques in Stochastic Static and Dynamics. * Recent mathematical and numerical developments in stochastic structural engineering static and dynamics. * New surrogate modeling techniques tailored to some computationally-demanding problems. * Stochastic finite element method in reliability analysis, safety assessment. * Stochastic model updating. * Model update with structural health monitoring. * Engineering practice of structural health monitoring accommodating uncertainties. * Novel uncertainty quantification techniques in model updating. * Data-driven approaches for model updating. MS05 Organizers: * Prof. Dr. Bin Huang, Wuhan university of technology, Wuhan, China. E-mail: binhuang(a)whut.edu.cn<mailto:binhuang@whut.edu.cn> * Dr. Heng Zhang, Yangtze University, Jinzhou, China. E-mail: supzhangheng(a)163.com<mailto:supzhangheng@163.com> * Dr. Hui Chen, College of Post and Telecommunication, Wuhan Institute of Technology, Wuhan, China. E-mail: huichenvip(a)163.com<mailto:huichenvip@163.com> * Dr. Zhifeng Wu, Huazhong University of Science and Technology, Wuhan, China. E-mail: wuzhifeng(a)hust.edu.cn<mailto:wuzhifeng@hust.edu.cn> * Prof. Dr. Michael Beer, head of Institute for Risk and Reliability, Leibniz Universität Hannover (LUH), Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Prof. Sifeng Bi, University of Strathclyde, Glasgow, United Kingdom. E-mail: sifeng.bi(a)strath.ac.uk<mailto:sifeng.bi@strath.ac.uk> ________________________________ MS08: Data-driven and Uncertainty-aware Modeling of Complex and Nonlinear Systems Abstract: The recent years have seen significant progress in modeling complex and nonlinear systems, with a notable shift towards data-driven methodologies and a heightened recognition of the inherent uncertainties associated with such systems. Non-deterministic modeling approaches, including probabilistic, interval, fuzzy, or imprecise methods, necessitate accurate specification of uncertain model parameters. However, direct measurement of these quantities is often impractical or cost-prohibitive, leading to the widespread application of data-driven and uncertainty-aware modeling techniques. This mini-symposium aims to bring together experts, researchers, and practitioners from academia and industry to explore and discuss the latest developments, methodologies, and applications related to data-driven modeling and the incorporation of uncertainty-aware techniques in understanding complex and nonlinear systems. Papers discussing advances in techniques from both uncertainty forward and inverse propagation by probabilistic theory, as well as interval methods and concepts based on imprecise probabilities are invited. Next to these non-deterministic and data-driven approaches for numerical modelling, stochastic model updating, system identification, damage localization, sensor placement optimization is highly welcomed. Topics for potential contributions include but are not limited to: * Stochastic model updating * Highly efficient uncertainty propagation * Quantification of multiple uncertainty sources * Data-driven modelling * Imprecise probability * System identification * Sensor placement optimization * Digital twin MS08 Organizers: * Yanlin Zhao, University of Science and Technology Beijing, Beijing, China. E-mail: zhaoyanlin(a)ustb.edu.cn<mailto:zhaoyanlin@ustb.edu.cn> * Yongtao Bai, Chongqing University, Chongqing, China. E-mail: bai.yongtao(a)cqu.edu.cn<mailto:bai.yongtao@cqu.edu.cn> * Sifeng Bi, University of Strathclyde, Glasgow, United Kingdom. E-mail: Sifeng.bi(a)strath.ac.uk<mailto:Sifeng.bi@strath.ac.uk> * Michael Beer, Leibniz University Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * David Moens, Katholieke Universiteit Leuven, Leuven, Belgium. E-mail: david.moens(a)kuleuven.be<mailto:david.moens@kuleuven.be> ________________________________ MS09: Addressing Aleatoric and Epistemic Uncertainty with Imprecise Probabilities Abstract: Uncertainties appearing in engineering problems can be broadly classified as aleatoric and epistemic. The first group refers to intrinsic uncertainty stemming out of randomness, while the latter reflects lack of knowledge, conflicting sources of information, etc. One possibility for tackling such class of problems is resorting to imprecise probabilities which, in essence, can be interpreted as a collection of classical probabilistic models that account for aleatoric uncertainty and which are indexed by, e.g. interval variables that capture epistemic uncertainty. Although imprecise probabilities offer an extremely wide and flexible framework, its practical deployment is not devoid of challenges. Therefore, the aim of this MS is bringing together some of the latest developments on imprecise probabilities, including (but not limited to): * Different models for representing uncertainty such as, e.g. p-boxes, imprecise stochastic processes, distribution-free models, etc. * Novel formulations for coping with aleatoric and epistemic uncertainty, such as advanced simulation methods; surrogate models, etc. * Inverse uncertainty quantification in the presence of aleatoric and epistemic uncertainty. * Practical applications involving challenging engineering problems. MS09 Organizers: * Marcos Valdebenito, TU Dortmund University, Germany, marcos.valdebenito(a)tu-dortmund.de<mailto:marcos.valdebenito@tu-dortmund.de> * Michael Beer, Leibniz University Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Matthias Faes, TU Dortmund University, Germany. E-mail: matthias.faes(a)tu-dortmund.de<mailto:matthias.faes@tu-dortmund.de> * Zhan Kang, Dalian University of Technology, China. E-mail: zhankang(a)dlut.edu.cn<mailto:zhankang@dlut.edu.cn> * Chao Jiang, Hunan University, China. E-mail: jiangc(a)hnu.edu.cn<mailto:jiangc@hnu.edu.cn> ________________________________ MS14: Global Reliability Analysis of Complex Nonlinear Stochastic Dynamical Systems Abstract: The study of complex nonlinear stochastic dynamical systems is of paramount importance in both science and engineering. These systems exhibit a myriad of uncertainties, stemming from various sources such as material properties, external excitations, and inherent nonlinearities. These uncertainties introduce significant ambiguity into the response of systems, making precise analysis and design a formidable challenge. The coupling of nonlinearity and stochasticity necessitates a refined understanding of uncertainty propagation, which is indispensable for ensuring the safety and reliability of engineering systems. This symposium invites you to contribute to the discussion on the complexities of global reliability analysis in engineering structures. We welcome contributions that address, but are not limited to, the following themes: * Novel approaches for modeling and analyzing complex nonlinear systems subjected to stochastic influences. * Techniques for addressing the safety challenges associated with high-dimensional uncertainty inputs in engineering systems. * Methods to assess the propagation of stochastic effects in high-degree-of-freedom nonlinear systems. * Exploration of reliability analysis in emerging dynamic systems, such as those involving fractional-order differentiation or negative stiffness mechanisms. * Development of efficient and accurate methods for advanced global reliability assessment in complex systems. * Leveraging surrogate models and machine learning approaches to enhance reliability analysis in nonlinear stochastic dynamical systems. * Innovative strategies that combine physical understanding with data-driven approaches for more robust reliability analysis. * Techniques for precisely assessing low failure probabilities under rare events, critical in high-consequence systems. * Effective and efficient reliability methods in the context of reliability-based design optimization of complex nonlinear stochastic dynamical systems. * optimization of complex nonlinear stochastic dynamical systems. * We strongly encourage and warmly welcome contributions that address real-world applications and propose pioneering theories within disciplines such as civil engineering, aerospace engineering, construction engineering, mechanical engineering, energy engineering, automotive engineering, and other relevant fields. MS14 Organizers: * Meng-Ze Lyu, Tongji University, Shanghai, China. E-mail: lyumz(a)tongji.edu.cn<mailto:lyumz@tongji.edu.cn> * Jian-Bing Chen, Tongji University, Shanghai, China. E-mail: chenjb(a)tongji.edu.cn<mailto:chenjb@tongji.edu.cn> * Michael Beer, Leibniz Universität Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Hector Jensen, Universidad Técnica Federico Santa María, Valparaíso, Chile. E-mail: hector.jensen(a)usm.cl<mailto:hector.jensen@usm.cl> ________________________________ MS24: Quantification and Propagation of Uncertainties in Stochastic Dynamics: Computational Challenges and Solutions Abstract: This mini-symposium is dedicated to exploring the computational challenges of modeling uncertainties in dynamical systems and loads, with a particular focus on improving the assessment of structural reliability. The symposium will address various dimensions of uncertainty, including stochastic excitations, structural reliability, and the sophisticated task of accounting for uncertainties in input load modeling. The aim is to highlight the use of advanced computational techniques that play a central role in improving the accuracy and reliability of dynamical system models. It provides a platform for the exchange of insights and strategies between researchers and facilitates a comprehensive understanding of the complexity involved in dealing with uncertainties. The topics to be discussed include, but are not limited to: This mini-symposium invites researchers to contribute their expertise and insights to enhance collaborative discussions that improve the understanding and application of computational methods in the treatment of uncertainties in stochastic dynamics. * Reliability of structural systems: Exploring methods and concepts for assessing and improving the reliability of structural systems under dynamic conditions. * Stochastic excitations: Exploring the effects of stochastic excitations on dynamical systems and discussing methods to seamlessly incorporate uncertainties into modeling frameworks. * Accounting for uncertainties: Exploring strategies for robust consideration of uncertainties, with a focus on practical applications and implications for structural analysis. * Advanced computational techniques: Emphasizing the role of advanced computational techniques in mitigating the computational challenges posed by dynamical systems with uncertainties. This mini-symposium invites researchers to contribute their expertise and insights to enhance collaborative discussions that improve the understanding and application of computational methods in the treatment of uncertainties in stochastic dynamics. MS24 Organizers: * Marco Behrendt, Leibniz Universität Hannover, Hannover, Germany. E-mail: behrendt(a)irz.uni-hannover.de<mailto:behrendt@irz.uni-hannover.de> * Meng-Ze Lyu, Tongji University, Shanghai, China. E-mail: lyumz(a)tongji.edu.cn<mailto:lyumz@tongji.edu.cn> * Jian-Bing Chen, Tongji University, Shanghai, China. E-mail: chenjb(a)tongji.edu.cn<mailto:chenjb@tongji.edu.cn> * Michael Beer, Leibniz Universität Hannover, Hannover, Germany. E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> ________________________________ MS31: Uncertainty quantification in wind engineering Abstract: The field of wind engineering plays a pivotal role in ensuring the safety and resilience of structures against the dynamic wind forces. However, the inherent uncertainty associated with both the extreme wind loads and structural dynamic behaviors pose a significant challenge to accurate and reliable structural design. Illustrative instances of these uncertainties include the stochastic nature of wind excitations, challenges in accurately estimating the wind power spectrum, and uncertainties in structural aerodynamics. By bringing together researchers, practitioners, and industry professionals, this mini-symposium aims to foster collaboration and innovation in the pursuit of more robust and resilient wind engineering practices. Topics for potential contributions include but are not limited to: * Probabilistic Models: Presentations will delve into the development and application of probabilistic models to characterize the uncertainty in wind loads. Discussions will focus on incorporating meteorological data, turbulence models, and environmental factors into probabilistic frameworks; * Data-Driven Approaches: This session will explore innovative data-driven methods for uncertainty quantification, leveraging machine learning and big data analytics to enhance the accuracy of wind load predictions. Case studies highlighting the practical implementation of these approaches will be emphasized; * Sensitivity Analysis: Understanding the sensitivity of structures to uncertain parameters is crucial. This segment will cover sensitivity analysis techniques, assessing the impact of varying wind conditions, structural configurations, and terrain features on the overall uncertainty; * Industry Perspectives: Experts from both academia and industry will share insights into the practical implications of uncertainty quantification in wind engineering. Presentations will address real-world challenges faced by engineers and showcase successful applications of uncertainty-aware design. MS31 Organizers: * Xu Hong, Hefei University of Technology, Hefei, China. E-mail: xhong(a)hfut.edu.cn<mailto:xhong@hfut.edu.cn> * Genshen Fang, Tongji University, Shanghai, China. E-mail: 2222tjfgs(a)tongji.edu.cn<mailto:2222tjfgs@tongji.edu.cn> * Zhiqiang Wan, Northwestern Polytechnical University, China, E-mail: wanzhiqiang(a)nwpu.edu.cn<mailto:wanzhiqiang@nwpu.edu.cn> * Lunhai Zhi, Hefei University of Technology, Hefei, China. E-mail: zhilunhai1979(a)163.com<mailto:zhilunhai1979@163.com> * Michael Beer, Leibniz University Hannover, Germany, E-mail: beer(a)irz.uni-hannover.de<mailto:beer@irz.uni-hannover.de> * Seymour M.J. Spence, University of Michigan, US, E-mail: smjs(a)umich.edu<mailto:smjs@umich.edu> ________________________________ Institute for Risk and Reliability Callinstr. 34 30167 Hannover Germany www.irz.uni-hannover.de<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkoHCVFSAAdXCh9VCAIGSQwC…> To forward this message, please do not use the forward button of your email application, because this message was made specifically for you only. Instead use the forward page<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkoHAlBWUAIFWR8AWFUISQwE…> in our newsletter system. powered by phpList<http://cossan.irz.uni-hannover.de/lists/lt.php?tid=KkpWCAUBBAVSDR8BXQAFSQwP…>

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Next SIPTA Seminar: 31st January at 3pm Paris Time
by sdesterc Jan. 29, 2024

Jan. 29, 2024

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 31st of January (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/86165930800 For this new seminar, we are very happy to have Matthias Troffaes as our speaker. Matthias Troffaes is Professor in the Department of Mathematical Sciences, and is a past SIPTA president, as well as the co-author of the book Lower previsions. Matthias Troffaes is both interested in the theory and practice of imprecise probabilities, having made fundamental core contributions to the theories of imprecise probabilities, as well as having applied them to environmental or engineering issues such as land crop management or the wind industry. On the 31st of January, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Fundamentally finitary foundations for probability and bounded probability”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 31st of January, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=rBgehsbawVY See you at the seminar! Sébastien, Enrique and Jasper

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Re: Final Reminder: Upcoming Deadlines for REC2024 Conference
by Kreinovich, Vladik Jan. 28, 2024

Jan. 28, 2024

FYI, papers using imprecise probabilities are very welcome at this series of conferences From: j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn> <j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn>> Sent: Wednesday, January 24, 2024 10:07 PM [cid:image002.png@01DA51F8.36111780] Dear Professor Kreinovich:, We trust this message finds you in good health and high spirits. As the deadline for key milestones approaches, we would like to remind you of the upcoming dates for the INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING 2024 (REC2024). (http://rec2024.com/) Revised Important Dates: One page abstract submission: January 31, 2024 Abstract notification of acceptance: February 15, 2024 Paper submission: May 31, 2024 Paper notification of acceptance: June 30, 2024 Final paper submission: July 31, 2024 Your contributions play a vital role in the success of REC2024, and we sincerely appreciate your commitment to the workshop. This extension was granted to ensure that all participants have ample time to refine their work and engage in meaningful discussions during the event. We kindly invite you to submit your abstract via email to submissionrec2024(a)gmail.com<mailto:submissionrec2024@gmail.com> with the subject line “REC2024 abstract submission”. Abstracts are strictly limited to ONE page. The abstract templates can be downloaded on the website (http://rec2024.com/) We understand the importance of your time and effort, and we thank you for your dedication to the REC2024 conference. Should you have any questions or concerns, do not hesitate to reach out to us. We look forward to your active participation in REC2024 and appreciate your continued support. Sincerely, REC2024 Chairs Yi Zhang Zhaohui Lu [cid:image003.jpg@01DA51F8.36111780]

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20-month research position in Human - AI interaction and medical decision support
by Davide Elio Ciucci Dec. 28, 2023

Dec. 28, 2023

We are seeking a motivated researcher for a fully funded research fellowship position (Italian Assegno di Ricerca – Post-Doc Equivalent) on topics related to Decision Support, Human-AI Interaction and eXplainable Artificial Intelligence, with a special focus on biomedical informatics and medical decision making. The position regards a recently funded Italian PRIN PNRR project “InXAId - Ricerca Nel Campo dell'interazione con l'intelligenza Artificiale Spiegabile nel Processo Decisionale Medico” (Research In The Field Of Interaction With Explainable Artificial Intelligence In Medical Decision Making"), under the scientific supervision of Prof. Federico Cabitza (PI) and Prof. Silvana Quaglini. The candidate will join the MUDILAB research group (https://mudilab.disco.unimib.it/) at the University of Milano-Bicocca, in Milan, Italy and work in close collaboration with the BMI laboratory (www.labmedinfo.org <http://www.labmedinfo.org/>) of the University of Pavia, in Pavia, Italy. More details Position: Research Fellow / Assegnista di Ricerca (post-doc equivalent) Location: Department of Informatics, Systems and Communication of the University of Milano-Bicocca, Viale Sarca 336, 20126, Milan, Italy Application Deadline: 15th January 2024, 12.00 (Italian Time) Link to the Call (with instructions on how to apply): https://www.unimib.it/ateneo/gare-e-concorsi/cod-23a413 Duration: 20 Months, tentatively starting in March 2024. Gross Salary: 2,848.00 Euros per month (According to Italian Law, that amount is not subject to income tax, but only to retirement funds; thus, the net salary should be slightly higher than 2,000 Euros.) The selected researcher will advance Human-AI collaboration in medical decision-making. Key tasks include: Developing Explainable AI (XAI): Innovate in XAI and Uncertainty Quantification for clinical decision support systems (CDSS). Designing Human-AI Protocols: Implement and test protocols that enhance decision-making and trust in AI processes. Empirical Analysis: Conduct experiments and data analysis to evaluate AI system effectiveness and decision-making impact. Academic Outreach: Publish findings in scientific venues, attend conferences, and engage in interdisciplinary collaboration. Teamwork: Work with a diverse team, integrating insights from clinicians, computer scientists, biomedical engineers and psychologists. The postdoc will also supervise PhD students, master degree students, and work in collaboration with them. This role demands strong AI and HCI expertise, ideally with a focus on healthcare applications. The project offers an opportunity to significantly contribute to both academic research and practical healthcare advancements. Admission Criteria To participate in the call, a master degree in Computer Science (LM-18 ), or Computer Engineering (LM-32 ), or Statistical Science (LM-82 ), or Techniques and methods for the information society (LM-91), or Biomedical engineering (LM-21 ), or Cognitive science (LM-55), or equivalent foreign degree, is required. A PhD is not required, but recommended. Previous background in AI and HCI is also highly recommended. About the Laboratory The MUDILAB at UNIMIB mainly focuses on the development and evaluation of decision support systems and eXplainable AI - human interaction protocols. Currently, the lab has two faculty members, three funded PhD students and two post-doc. The founders, the head Prof. Federico Cabitza and Prof. Davide Ciucci, have both been counted among the world's top 2% of researchers in AI and medical informatics for years, according to the list curated by Stanford researchers. The MUDI group has a recent track record of previous publications in prestigious venues (CHI, Interact, AAAI, ECAI, …) and research projects on both fundamental and application-oriented research, in collaborations with several hospitals and academic partners. The BMI lab at UNIPV has a long tradition (dating back to the mid 80s, with its founder Prof. Mario Stefanelli) of research in biomedical informatics and AI in medicine. Led by prof. Silvana Quaglini, the lab is the biggest in Italy in its field and counts 7 faculty, 2 post-docs, and 5 PhD students (enrolled either in the Biomedical Informatics PhD @UNIPV or in the National PhD in AI - health&life sciences pillar). Both groups aim to provide its members a friendly environment with strong supervision, in which individuals can grow and let their full potential flourish. We regularly organize group meetings and gatherings outside the lab to keep the team motivated and encourage a good work culture. For more information, do not hesitate to contact Prof. Federico Cabitza, at federico.cabitza [at] unimib.it <http://unimib.it/>

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CFP IPMU 2024 Special session: Dynamic decision models under uncertainty and imprecision
by Davide Petturiti Dec. 27, 2023

Dec. 27, 2023

Dear Colleague, We would like advertise the following special session: “Dynamic decision models under uncertainty and imprecision” we are organizing in the conference: 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024), 22-26 July 2024, Lisbon, Portugal (https://ipmu2024.inesc-id.pt/) We would be very grateful if Colleagues interested in sending a paper would communicate it to us, sending an email to: davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it> barbara.vantaggi(a)uniroma1.it<mailto:barbara.vantaggi@uniroma1.it> Below you can find all the information related to the special session. Best regards, Davide Petturiti and Barbara Vantaggi TITLE OF THE SPECIAL SESSION: Dynamic decision models under uncertainty and imprecision TOPICS: Topics of interest of the special session include, but are not limited to: * Decision making under uncertainty; * Games under ambiguous information; * Dynamic non-linear functionals and applications; * Portfolio selection under ambiguity; * Uncertainty and risk models under imprecise information. REVIEW PROCESS: Papers submitted to the special session will be treated as regular papers from both the perspective of the review process and of the proceedings. KEY DATES: Paper submission: February 23rd, 2024 Notification of acceptance: March 29th, 2024 Camera-ready paper submission: April 30th, 2024 Early/author registration: April 26th, 2024 Conference: July 22nd-26th, 2024 ORGANIZERS: Davide Petturiti, University of Perugia, Italy (davide.petturiti(a)unipg.it<mailto:davide.petturiti@unipg.it>) Barbara Vantaggi, Sapienza University of Rome, Italy (barbara.vantaggi(a)uniroma1.it<mailto:barbara.vantaggi@uniroma1.it>) [signature_4033098136] Davide Petturiti, Ph.D. Associate Professor Department of Economics University of Perugia Address: Via Pascoli 20, 06123 Perugia, Italy Phone: +39-075-585-5218 Fax: +39-075-585-5950 Email: davide.petturiti(a)unipg.it<mailto:davide.petturiti@dmi.unipg.it> Website: https://sites.google.com/site/davidepetturiti

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IPMU 2024 special session: Imprecision and uncertainty in image processing and analysis
by sdesterc Dec. 22, 2023

Dec. 22, 2023

*** Please communicate to whoever might be interested *** Dear colleagues, We are organising a special session on "Imprecision and uncertainty in image processing and analysis” to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2024) Lisbon (Portugal), July 22-26, 2024 (https://ipmu2024.inesc-id.pt/) Session topic and goal This session aims at gathering researchers interested and involved in uncertainty issues in processing and analysis of images, in various applications. The uncertainty (understood in a broad sense) considered here can pertain to data, to knowledge guiding their analysis, to processing steps and to the analysis results. Examples of possible topics include: * Representation models (including but not limited to deep learning ones), types of uncertainties (epistemic, aleatoric, impre-cision...). * Reasoning under uncertainties or conflict, approximate reasoning. * Integration of imprecision, uncertainty and inconsistency in the analysis process, either by repairing, by dealing with them (e.g. as metadata), by ignoring them, etc. * Evaluation of uncertain results, making them useful to the users. * Discussion about the necessity or opportunity to quantify uncertainty. * Applications involving some of the above topics The theoretical issues are at the core of many IPMU topics. Here the aimof the session would be to address them in the specific context of image analysis,and more generally spatial information processing Reviewing process All papers of the special session will undergo the same review and editing process as standard IPMU track papers. Dates Paper submission: February 23, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Isabelle Bloch, Sorbonne Université, CNRS, LIP6, France (isabelle.bloch(a)sorbonne-universite.fr) Sébastien Destercke, CNRS, Université de technologie de Compiègne, Heudiasyc, France (sebastien.destercke(a)hds.utc.fr) Roman Malinowski,Centre National D'Etudes Spatiales, France (roman.malinowski(a)cnes.fr) Olivier Strauss, Université de Montpellier, CNRS, LIRMM, France (olivier.strauss(a)umontpellier.fr)

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Fwd: IJCRS 24 - CFP
by Stefania Boffa Dec. 18, 2023

Dec. 18, 2023

Dear colleagues, attached you can find the CFP for the next "Joint Conference on Rough Sets (IJCRS 2024)". *Main conference information: * Location: Halifax, Canada Date: May 17-20, 2024 Website: https://ijcrs24.cs.smu.ca Organized by the International Rough Set Society and the MSc program in Computing and Data Analytics (MCDA) at Saint Mary’s University Best wishes, Stefania Boffa

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CFP: special session on imprecise probabilities at IPMU'2024
by Enrique Miranda Dec. 15, 2023

Dec. 15, 2023

Call for papers Special Session on "THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES" to be held at the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2022) https://ipmu2024.inesc-id.pt/ Lisbon (Portugal), July 22-26, 2024 Session topic and goal This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theories and other fields such as fuzzy sets or game theory is emphasized are also welcome. Theoretical topics of interest include (but are not limited to): * (coherent) uncertainty models * non-additive set-functions * qualitative reasoning about uncertainty * limit laws for imprecise probabilities * philosophical foundations * elicitation and inference * robust statistics * decision making * algorithmic issues Applications include (but are not limited to): * data mining * classification and machine learning * risk and reliability analysis * finance * life sciences * system control and design Dates Paper submission: February 23, 2024 Notification of Acceptance: March 29, 2024 Conference: July 22-26, 2024 Organizers We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to: Enrique Miranda (mirandaenrique(a)uniovi.es) University of Oviedo (Spain) Ignacio Montes (imontes(a)uniovi.es) University of Oviedo (Spain)

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Re: Important Update: Extension of Deadlines for REC2024
by Kreinovich, Vladik Dec. 13, 2023

Dec. 13, 2023

FYI: papers using imprecise probabilities – e.g., p-boxes -- are always welcome at this series of workshops From: j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn> <j-shi20(a)mails.tsinghua.edu.cn<mailto:j-shi20@mails.tsinghua.edu.cn>> Sent: Tuesday, December 12, 2023 9:24 PM [cid:image002.png@01DA2D47.C34AD440] Dear Colleagues, We hope this message finds you well. We would like to express our gratitude for your interest and contributions to the INTERNATIONAL WORKSHOP ON RELIABLE ENGINEERING COMPUTING 2024 (REC2024) (http://rec2024.com/) After careful consideration and taking into account the feedback received from the community, we have decided to extend the deadlines for key milestones to ensure maximum participation and allow more time for the submission of quality contributions. Revised Important Dates: * One page abstract submission: January 31, 2024 * Abstract notification of acceptance: February 15, 2024 * Paper submission: May 31, 2024 * Paper notification of acceptance: June 30, 2024 * Final paper submission: July 30, 2024 We believe that this extension will provide all participants with the necessary time to refine their contributions and engage in thoughtful discussions during the workshop. We encourage you to take advantage of this additional time to submit your abstracts and papers. We kindly invite you to submit your abstract via email to submissionrec2024(a)gmail.com<mailto:submissionrec2024@gmail.com> with the subject line “REC2024 abstract submission”. Abstracts are strictly limited to ONE page. The abstract templates can be downloaded on the website (http://rec2024.com/) We appreciate your understanding and flexibility. If you have any questions or concerns, please feel free to reach out to us. Thank you for your continued support, and we look forward to your active participation in REC2024. Sincerely, REC2024 Chairs Yi Zhang Zhaohui Lu [cid:image003.jpg@01DA2D47.C34AD440]

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SIPTA School 2024: Save the date!
by Alexander Erreygers Dec. 11, 2023

Dec. 11, 2023

To all interested researchers, young(er) and old(er), As announced at ISIPTA 2023, the SIPTA School 2024 will take place in Ghent, Belgium. More information about the programme, registration and other practical details will follow in January, via an announcement both to this mailing list and on the school’s website https://school24.sipta.org/. For now, we can already let you know that the school will last 5 days: from Monday the 12th of August 2024 till Friday the 16th. We look forward to welcoming all who are interested in learning more about imprecise probabilities! Kind regards, Floris Persiau and Alexander Erreygers

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Next SIPTA Seminar: 12th December at 3pm Paris Time
by sdesterc Dec. 5, 2023

Dec. 5, 2023

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 12th December (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82027992604 For this new seminar, we are very happy to have Daniel Kuhn as our speaker. Daniel Kuhn is Professor of Operations Research at the College of Management of Technology at EPFL, where he holds the Chair of Risk Analytics and Optimization. Daniel Kuhn research interests cover a wide range of optimisation problems, with a specific interest in optimisation under uncertainty and distributionally robust optimisation, a topic that directly connects to handling sets of probabilities. On the 12th of December, at 15:00 paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "On the Interplay of Optimal Transport and Distributionally Robust Optimization”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 12th of December, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=M676ZQ8uZvE See you at the seminar! Sébastien, Enrique and Jasper

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Re: The 8th International Conference on Belief Functions (BELIEF 2024)
by Kreinovich, Vladik Nov. 28, 2023

Nov. 28, 2023

FYI, belief functions are an important particular case of imprecise probabilities From: Thierry Denoeux <thierry.denoeux(a)utc.fr<mailto:thierry.denoeux@utc.fr>> Sent: Monday, November 27, 2023 10:49 PM -- ****** Call for Papers ****** https://bfasociety.org/Belief2024/<https://antiphishing.vadesecure.com/v4?f=ZURHSDhnY0huQ2tPS3VZai6lZy1SHhe47J…> The 8th International Conference on Belief Functions (BELIEF 2024) Dates: September 4th-6th, 2024 Location: Belfast, Ulster University, Northern Ireland, UK * April 15, 2024: Paper submission deadline * May 31, 2024: Author notification * June 30, 2024: Camera-ready copy due ================================================================ The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/<https://antiphishing.vadesecure.com/v4?f=ZURHSDhnY0huQ2tPS3VZai6lZy1SHhe47J…>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024. To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI). ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2024 Program Committee co-chairs ======================================= Dr Yaxin Bi (y.bi(a)ulster.ac.uk<mailto:y.bi@ulster.ac.uk>), Ulster University, UK Dr Anne-Laure Jousselme (anne-laure.jousselme(a)csgroup.eu<mailto:anne-laure.jousselme@csgroup.eu>), CS Group, France ---------- ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux

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SIPTA seminar on the 28th November: Causality and credal networks.
by sdesterc Nov. 22, 2023

Nov. 22, 2023

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events. The next seminar will take place on the 28th of November (Tuesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/85152847934 For this new seminar, we are very happy to have Alessandro Antonucci as our speaker. Alessandro Antonucci is a senior researcher at IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale) in Lugano. Alessandro is a very strong expert in uncertainty reasoning, focusing on graphical models, their inference and interpretation. Very well-known for his work on graphical models using imprecise probabilities, some of his most recent works explore the links between the notion of causality and imprecise probabilistic models. On the 28h of November, at 15:00 Paris time (up to 17:00, with a talk duration of 45min/1h), he will talk about "Structural Causal Models are (Solvable by) Credal Networks”. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 28th of November, and join us for the occasion. And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is online at https://www.youtube.com/watch?v=mhKYP8BMQNM&t See you at the seminar! Sébastien, Enrique and Jasper

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Falsifiability
by Marco Zaffalon Nov. 21, 2023

Nov. 21, 2023

Dear SIPTAnts, I’m not sure this is “news”, but I’d still like to raise a point. It’s for those of you who care to connect probability to the real world. The point is that science needs falsifiability. And purely probabilistic models aren’t really falsifiable, they’re at most improbable. This appears to be a major reason why we have all these theories of probability, and the related communities, and there’s no way to prove anyone wrong. Which is good for our careers, and less so with regard to progress. Contrast this with structural causal modelling. When we put forward a causal graph (a theory), any of its arcs is either right or wrong. This we can often test experimentally, or by other means. We correct the model, re-test and iterate, eventually consolidating our model of the world. Probability still plays a role there, although one of secondary importance. So it seems to me that the scientific method is based on causality rather than probability. I guess I’m not saying anything new. I just wanted to make the point; to me it seemed something worth reflecting on. Bests Marco

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Fwd: GAMM Annual meeting 2024 - section on uncertainty quantification, call for abstracts
by Enrique Miranda Nov. 15, 2023

Nov. 15, 2023

Dear Siptians, They send me information about a section on uncertainty quantification at the GAMM annual meeting organised by Kerstin Lux from TU Eindhoven and Lorenzo Tamellini from CNR in Pavia, telling me that they welcome the participation of researchers on imprecise probabilities. Information can be found below. Best wishes, Quique ==================== Dear colleagues, We are happy to announce that the submission of abstracts to the uncertainty quantification section of the upcoming GAMM annual meeting**has opened: https://jahrestagung.gamm.org/annual-meeting-2024/94th-annual-meeting/ <https://urldefense.com/v3/__https://jahrestagung.gamm.org/annual-meeting-20…> * *When? *March 18-22, 2024. * *Where?* Magdeburg, Germany. * *Deadline for submission of abstracts?* December 1st, 2023. We are excited to announce our four keynote speakers: * *Omar Knio (KAUST, Saudi Arabia):* “Dynamical and neural network approaches to downscaling of noisy and partial observations” * *Linus Seelinger (Karlsruhe Institute of Technology, Germany):* “UM-Bridge: Bridging the Gap between Advanced UQ and Advanced Models from Prototype to HPC” * *Elisabeth Ullmann (TU Munich, Germany):* "Rare event estimation with PDE-based models" * *Carlo Marcati (University of Pavia, Italy):* "Neural network surrogates for elliptic PDEs" We are looking forward to seeing many of you in Magdeburg. It will be a great chance to connect to the GAMM Activity Group on uncertainty quantification and discuss the latest advances in the field. Best regards, Kerstin Lux-Gottschalk (TU Eindhoven, The Netherlands), Lorenzo Tamellini (CNR IMATI, Italy)

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European Workshop on Uncertainty in Machine Learning (WUML 2024)
by Yusuf Sale Nov. 4, 2023

Nov. 4, 2023

Dear colleagues, on February 19-21, 2024, we are organizing the European “Workshop on Uncertainty in Machine Learning” (WUML 2024) in Munich, Germany. The last two editions of this workshop were held in Ghent in 2023 and Compiegne in 2021 with the last edition in Ghent attracting roughly 60 participants. With this email, we kindly invite you to attend WUML 2024. Like the previous workshop in Ghent, this is an informal event without a paper submission system. Every participant will have the choice to give a talk, present a poster, or just attend the workshop without a presentation. We have been able to collect some funding to cover the costs for coffee breaks and lunches, so we are happy to announce that attending the workshop will not involve any registration fee. Preliminary information about WUML 2024 can be found under the following link: https://sites.google.com/view/wuml2024/ We start on February 19th around noon and finish on February 21st with lunch. After lunch, the rooms will still be available for informal discussions and project meetings. If you like to attend, we ask you to confirm your presence before January 19th, 2024, using the following form: https://sites.google.com/view/wuml2024/registratio <https://sites.google.com/view/wuml2024/registration>n In case of any further questions at this stage, please contact us! Finally, do not hesitate to forward this invitation to any of your colleagues or PhD students who might be interested in attending. Kind regards, Eyke Hüllermeier Viktor Bengs Yusuf Sale Marcel Wever

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[jobs] Postdoc Uncertainty in Artificial Intelligence at TU Eindhoven
by Cassio de Campos Oct. 30, 2023

Oct. 30, 2023

The UAI group of TU Eindhoven seeks a postdoc researcher in AI/ML to work in the general area of uncertainty in AI, and in particular related to probabilistic machine learning and graphical models. The postdoc will also be largely involved in the project NWO Perspectief Personalized Oncology involving decision support systems for better care. We offer a 3-year contract with salary in scale 10 of the Dutch CAO (min. 3877 max. 5090 euro per month, plus year-end bonus of 8.3% and annual vacation pay of 8%). More details about the post can be found via: https://jobs.tue.nl/nl/vacature/postdoc-uncertainty-in-artificial-intellige… More details about the group can be found via: https://uai.win.tue.nl and https://dai.win.tue.nl We will screen applications and run interviews while the post is open, and we will close the position when a suitable candidate is found, so do not wait to apply. Please share this with colleagues if you think they might be interested, as well as our other call for postdocs: https://jobs.tue.nl/nl/vacature/machine-learning-postdoc-positions-1034634.… best regards, cassio. -- Cassio de Campos (c.decampos(a)tue.nl) "It's not (only) about the result, it's about how we reached it." (This email, its contents and attachments are confidential and only for private use of its intended addressees, unless explicitly agreed otherwise among all involved. Any other use shall be considered as a breach of agreement. If received in error, please do not disclose the contents to anyone, and immediately notify the sender by return e-mail and delete this e-mail and any attachments from your systems. No liability is accepted resulting from or relating to this communication.)

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