Events

The Poisson 2026 event is the 14th in a series of international meetings on Poisson geometry aiming at bringing together researchers interested in Poisson geometry in a broad sense from all over the world. The event will take place in Belgium: - Poisson 2026 Summer School: 3-7 August 2026, in Antwerp - Poisson 2026 Conference: 10-14 August 2026, in Leuven The list of speakers, for both the school and the conference, is available on the event website: https://wis.kuleuven.be/events/2026_poisson/poisson2026 We plan to open the registration in January/February 2026.

ICGG 2026 brings together researchers and practitioners in theoretical and applied geometry and graphics, including geometry in history and education. The conference is organized by the Croatian Society for Geometry and Graphics, held under the patronage of ISGG, with peer-reviewed proceedings published by Springer.

CAIM series provide a forum for the review of the recent trends in applied and industrial mathematics either from a qualitative or from a numerical point of view. Computer science communications are welcome. Since theoretical studies find sooner or later their applicability, the conference has also sections for the theoretical branches of mathematics like algebra, probability theory, mathematical statistics or geometry. A special section of the conference is dedicated to the mathematical teaching.

The purpose of the meeting is to bring together researchers sharing an interest in a variety of aspects of statistics and its applications as well as matrix analysis and its applications to statistics, and offer them a possibility to discuss current developments in these subjects. The conference will mainly focus on research of linear modelling methods, estimation, testing, and predictions in economic, medical, and social science data, analysis of multivariate and high-dimensional data with special regard to complex data structures, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments, and applications of matrix methods in statistics.

Scientific Directors: Denis Bonheure, Univ. Libre Bruxelles, Belgium Giovanni P. Galdi, Univ. Pittsburgh, US Filippo Gazzola, Politecnico Milano, Italy Lectures: Sunčica Čanić, Univ. California at Berkeley, US - Fluid-Poroelastic Structure Interaction Irene Fonseca, Carnegie Mellon Univ., US - Gamma-Convergence and Phase Transitions of Heterogeneous Materials Anna L. Mazzucato, Penn State Univ., US - Boundary Layers in Fluid Flow Thomas Richter, Otto von Guericke Univ. Magdeburg, Germany - Modeling and Discretization of Fluid-Structure Interactions

The ATSF 2026 Conference is the 9th event of the Approximation Theory and Special Functions (ATSF) series. The conference aims to bring together researchers working in approximation theory, special functions, numerical analysis, and related areas, fostering interaction between theoretical developments and applications.

This conference follows the previous ones held in Breckenridge (CO, U.S.A, 2024), Zürich (Switzerland, 2022), Trento (Italy, 2019), Santa Fe (NM, USA, 2017), Würzburg (Germany, 2015), San Francisco (Ca, USA, 2013), Arcachon (France, 2011), Pavia (Italy, 2009), Prague (Czech Republic, 2007), Oxford (UK, 2005), Paris (France, 2002). MULTIMAT conferences push forward the state-of-the-art in the field of compressible multi-phase and multi-material flow problems in a large sense. Researchers from academic and/or national institutions focus their discussions on relevant numerical methods, including their analysis as well as the modeling of complex multi-material flows and simulation codes which are essential for the investigation and development of new sources of energy. Dead line (abstracts): April the 1st

The program will unite researchers from a number of areas: algebraic and complex geometry, arithmetic geometry, Hodge theory, and mathematical physics. It will bring theoretically and computationally oriented researchers together, expecting that computations will illuminate conjectures made by the theorists and that theory will enlarge the range of what can be computed. We intend to develop databases of certain types of K3 surfaces for the L-Functions and Modular Forms Database and promote the development of software for computations on K3 surfaces in Magma, SageMath, or other systems for public release.

This year, we celebrate Bernhard Riemann's 200th birthday. On this occassion, Riemann's alma mater, Georg August-Universität Göttingen, and the German Mathematical Society (DMV) organize a birthday event and the DMV topic day "Riemann's mathematical heritage'. Sep 17: **Riemann's birthday** Speakers: Alains Connes (IHES) Anna Wienhard (Leipzig) David Rowe (public leture) Sep 18: DMV Topic day "Riemann's heritage" https://www.uni-goettingen.de/en/704723.html We discuss recent developments in some of the areas which Riemann has shaped or initiated. Speakers: Valentin Blomer (Bonn) Esther Cabezas-Rivas (Valencia) Gerhard Huisken (Tübingen) Jonathan Keating (Oxford) Hee Oh (Yale) Organizers: Dorothea Bahns, Thomas Schick Sponsors: RTG 2491 "Fourier Analysis and Spectral Theory"

AI Unlocked 2026, will bring together the brightest minds from academia, industry, and government to explore the power, promise and purpose of artificial intelligence. This two-day congress, chaired by Dr. Anjulika Salhan, a global expert in AI-driven innovation and founder of Systems Holdings, will be held at the prestigious Hyatt Regency in Birmingham. We invite you to join a dynamic community of AI pioneers shaping the future of machine learning and intelligent systems. World-class speakers from across sectors will share their research, breakthroughs, and real-world applications of AI, ranging from deep learning architectures and causal models to AI in finance, healthcare, governance, and regulation. Key themes include: • The evolving architecture of AI systems: transformers, GNNs, diffusion models • The rise of foundation models, multimodal AI, and explainability • Bridging theory and application: from generalisation and convergence to robust deployment • Policy and ethics: AI governance, regulatory frameworks, and public-private collaboration • What's next? Symbolic reasoning, AI safety, causal AI, and hybrid intelligence