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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. 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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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Next SIPTA seminar: Ryan Martin on falsifying statistical models (18/10 at 3pm Paris Time)
by sdesterc Oct. 16, 2023

Oct. 16, 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 18th October (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82973185259 For this new seminar, we are very happy to have Ryan Martin as our speaker. Ryan Martin is a professor at the Department of Statistics, North Carolina State University. Ryan Martin is in general interested in the foundations of statistics and probabilities. He is well known, among other things, for having proposed inferential models, a very generic framework allowing to make calibrated statistical statements through the use of non-additive measures. On the 18th of October, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability”. 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, 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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Next SIPTA seminars (3pm Paris time): 18th October (statistical validity), 28th November (Causality), 12th December (Robust optimisation)
by sdesterc Oct. 9, 2023

Oct. 9, 2023

Dear colleagues, We are delighted to announce our upcoming SIPTA online seminars on imprecise probabilities (IP) for the next 3 months, so that you can book the associated time slots. 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. All seminars will be at 3pm Paris time. The seminars are the following: * On the 18th October, Ryan Martin (Department of Statistics, North Carolina State University) will talk about "Falsification, Fisher's underworld of probability, and balancing behavioral & statistical reliability” * On the 28th November, Alessandro Antonucci (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, IDSIA) will talk about “Structural Causal Models are (Solvable by) Credal Networks” * On the 12th December, Daniel Kuhn (College of Management of Technology at EPFL) will talk about “On the Interplay of Optimal Transport and Distributionally Robust Optimization” For moire details, you can check out the abstract and zoom link details on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. Best regards Enrique, Jasper and Sébastien

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Next SIPTA seminar: 27 September 3Pm (Paris time), Dominique Guyonnet on Risk Analysis
by sdesterc Sept. 25, 2023

Sept. 25, 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 27th of September (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82399096997 For this new seminar, we are very happy to have Dominique Guyonnet as our speaker. Dominique Guyonnet is a reasearcher and expert at BRGM, France’s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. He has worked on numerous risk analysis cases involving multiple stakeholders, for which he used imprecise probability techniques. On the 27th of September, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Application of uncertainty theory in the field of environmental risks”. 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 27th of September, 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=bwGMvRUmUmo&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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Next SIPTA seminar: 27 September 3Pm (Paris time), Dominique Guyonnet on Risk Analysis
by sdesterc Sept. 20, 2023

Sept. 20, 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 27th of September (Wednesday). The zoom link for this seminar is https://utc-fr.zoom.us/j/82399096997 For this new seminar, we are very happy to have Dominique Guyonnet as our speaker. Dominique Guyonnet is a reasearcher and expert at BRGM, France’s leading public institution for Earth Science applications for the management of surface and sub-surface resources with a view to sustainable development. He has worked on numerous risk analysis cases involving multiple stakeholders, for which he used imprecise probability techniques. On the 27th of September, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "Application of uncertainty theory in the field of environmental risks”. 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 27th of September, 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=bwGMvRUmUmo&list=PLXsgvF2_g5Ht-BYPWsSjcunA3… See you at the seminar! Sébastien, Enrique and Jasper

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