Events

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

How do we model complicated phenomena including fluids like phase transition and turbulence by using differential equations?How do we analyze such equations which are often challenging? The weak-long Oberwolfach Seminar will be devoted to such questions. The target audience is PhD students or post-doctoral researchers wishing to be quickly immersed in this modern, active research area. Deadline for application: 15 July 2025

Stochastic analysis is a very dynamic field which has undergone numerous developments over the last decades: stochastic differential equations (SDE), stochastic partial differential equations (EDPS), Malliavin calculus… The overall aim of the workshop is to bring together experts from different disciplines related to singular stochastic systems to facilitate the exchange of ideas. The goal is to identify and motivate novel research directions on the well-posedness, dynamical behavior and numerical simulation of singular stochastic (partial) differential equations.

The field of diagrammatic categorification is still in its early stages, but it has already had a significant impact on more traditional mathematics. This workshop aims to unite both established experts and emerging scholars across various domains of diagrammatic categorification, including representation theory, combinatorics, and link homology.

In recent years, modern algebraic geometry, such as moduli spaces and enumeration, has been very successfully applied to combinatorics and tensors, resolving old conjectures, giving easier proofs of classical theorems, and opening new research paths. This seminar will focus on the two main interconnected topics. (1) Interactions between matroid theory, geometry, and intersection theory, as in the recent work of June Huh and beyond, using varieties of complete linear maps and complete quadrics; (2) new invariants of tensors, such as 111-algebra and moduli spaces of tensors from Hilbert schemes of points and its generalisations. The common motive is to associate new intricate invariants to seemingly explicit, structureless objects such as tensors or graphs. Deadline for applications: 1 July 2025

Join us for a three-day workshop on nonlinear partial differential equations in Salzburg, featuring keynote talks by Giovanni Molica Bisci, Nicola Fusco, Antonio Iannizzotto, Carolin Kreisbeck, Jan Kristensen, Anastasia Molchanova, Raffaella Servadei, and Ulisse Stefanelli, alongside short contributed talks by PhD students and postdocs.

Join us at this free virtual event to explore the impact and potential of mathematics technology in post-secondary education and research. Through thought-provoking talks, practical sessions, and community engagement, you will gain insights into state-of-the-art math technology, explore future challenges and opportunities, and discover ideas and techniques you can start using right away.