Dear all,

The 5th edition of the School on Belief Functions and their Applications will take place at Certosa di Pontignano, Siena, Tuscany, Italy on October 27-31, 2019. See the school homepage at:

https://bfasociety.org/BFTA2019

The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions, also referred to as Dempster-Shafer theory, or evidence theory.

The school will be organized around a set of lectures by prominent researchers as well as a tutorial session focused on the practical use and implementation of belief functions. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as imprecise probabilities, random sets and rough sets, and present some of the belief functions applications in various domains including information fusion, inference and machine learning. 


Important dates:

��� 8 May 2019: Registration and grant application open
��� 30 June 2019: Deadline for grant application
��� 15 July 2019: Notification of grant acceptance
��� 31 July 2019: Deadline for early-bird registration
��� 15 September 2019: Deadline for registration


Posters

BFAS school participants will have the opportunity to present their work during a poster session. Interested participants, please submit your poster title, author names together with an abstract of roughly 500 words to: bfta2019@bfasociety.org.


BFAS student grants

The Belief functions and Applications Society (BFAS) is offering several grants that cover the school registration fees. Candidates can apply by sending the following information:

��� CV
��� Recommendation letter from their supervisor
��� Motivation letter

to: bfta2019@bfasociety.org
     
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Prof. Thierry Denoeux
Universit�� de Technologie de Compi��gne
Rue Roger Couttolenc
CS 60319
60203 Compi��gne cedex
France
https://www.hds.utc.fr/~tdenoeux