Events
- 2026Jan20–Apr24Add to calendar
Institute for Computational and Experimental Research in Mathematics, Brown University Stochastic and Randomized Algorithms in Scientific Computing: Foundations and Applications
Semester Program
The main goal of this program is to advance foundational research in stochastic and randomized methods for scientific computing and optimization, enabling their effective and widespread use in challenging applications. This includes the development of new mathematical approaches, convergence results, next-generation hardware, statistical guarantees, and error bounds, as well as the integration of these tools in scientific applications at scale. We also aim to create research and mentorship opportunities for researchers at all levels, including advanced undergraduate students, graduate students, postdocs, and senior scientists.
- 2026Jul06–10Add to calendar
University of Athens, Greece The 15th AIMS Conference
Conference
Plenary Speakers: Artur Avila, Qiang Du, Adam Kanigowski, Carlos Kenig, Pierre-Louis Lions, Kening Lu, Panagiotis E. Souganidis, Hong Wang, Xiaoyun Wang. The largest conference on analysis and applied analysis, including dynamical systems, differential applications, applied and computational mathematics.
- 2026Sep09–Dec11Add to calendar
Institute for Computational and Experimental Research in Mathematics, Brown University Computations on K3 Surfaces and Related Varieties
Semester Program
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.