Events

Time parallel time integration is a new area of research to solve large scale evolution problems in parallel. When solving such time dependent problems, the time direction is usually not used for parallelization, because the time evolution is perceived as being an entirely sequential process, numerically treated with time stepping methods. When parallelization in space however saturates, the time direction offers itself as a further direction for parallelization. The time direction is however special, because of the causality principle obeyed by time dependent problems: the solution later in time is determined by the solution earlier in time, and not the other way round. Algorithms trying to use the time direction for parallelization must therefore be special, and take this very different property of the time dimension into account. This Oberwolfach Seminar is a first to offer a complete and accessible mathematical introduction to how one can overcome this causality principle and design algorithms which integrate time dependent problems parallel in time. Deadline for application: 15 September 2025

Webs are diagrammatic tools for representing complex calculations graphically. These diagrams first arose from the representation theory of classical groups, and they have since become important in disparate areas of mathematics. The goal of this workshop is thus to bring together experts from these communities and cross-fertilize these diverse subjects by spreading knowledge of recent developments and perspectives on our shared interest in webs. This workshop will also provide an opportunity for distinct research groups to share current code functionality as well as future needs and desires, with an aim towards building collaborative and open-source computing capabilities.

The workshop aims to showcase new techniques and open problems, foster lively exchanges between analysts at all career stages, and outline key questions driving current research in mathematical fluid dynamics. The event will bring together leading experts and early-career researchers interested in the analytical study of fluid motion. Through a series of invited and contributed talks, participants will have the opportunity to share their latest results, exchange ideas, and discuss promising directions for future work.

This program bring together researchers working in Bayesian nonparametric inference (BNP), including computation, foundations, methodology and application of BNP methods, with the goal of identifying newly emerging computational strategies and inference approaches. The program and invited talks are planned to balance theoretical expertise, interest and prowess in computational methods, and exposure to selected substantial application areas. The intended nature of the program as identifying synergies of different approaches and potentially new research directions naturally leads to favoring breath over depth, with more emphasis on covering diverse areas rather than on in-depth discussions of a single specific theme.

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.

The International Conference on Modern Mathematical Methods and High-Performance Computing in Science & Technology will bring together leading researchers, academicians, engineers, and industry experts to explore the latest advancements at the intersection of mathematics, computational science, and emerging technologies. As modern scientific challenges grow increasingly complex, the role of advanced mathematical techniques and high-performance computing (HPC) in driving innovation and discovery has become more critical than ever. This conference will serve as a dynamic platform for knowledge exchange and collaboration, focusing on key areas such as Quantum Computing, Exa-Scale Computing, Metaheuristics, Numerical Linear Algebra for Large-Scale Scientific Computing, and Quantum Communications. By fostering interdisciplinary dialogue among mathematicians, computer scientists, and engineers, the event will promote the development of innovative problem-solving approaches and accelerate progress in computational physics, chemistry, material science, and beyond.

Organizers offer a reduced fee to all EMS members. The research programme will consist of plenary lectures of keynote speakers nominated by the participating societies, followed by workshops covering particular areas in mathematics: WS01 – Advanced Statistical Modelling WS02 – Interactions between Algebra, Combinatorics and Graph Theory WS03 – Complex Dynamics WS04 – Graph Drawing and Discrete Geometry WS05 – Group Theory WS06 – Harmonic Analysis and Related Topics WS07 – Low Dimensional Dynamics WS08 – Mathematics for Quantum Computing WS09 – Recent Advances in Oscillation and Spectral Theory of Differential Equations WS10 – Representation Theory and Commutative and non-Commutative Algebra WS11 – Spectral Theory of Differential Operators in Quantum Physics WS12 – Stochastic Analysis in Quantitative Finance WS13 – Inverse Problems and Image Analysis WS14 – Mathematical and numerical modelling of the Earth's gravity field