The study of complex systems driven by stochastic processes has become a central topic in interdisciplinary research, bridging mathematics, physics, and computational sciences. Understanding the dynamics of such systems -- ranging from active matter to large-scale interacting particles-- requires advanced theoretical frameworks and innovative computational approaches. Recent progress in colored noise-driven systems, mean-field theories, and numerical methods has opened new avenues for simplifying and analyzing high-dimensional complexity.  

This workshop aims to unite researchers from diverse disciplines to discuss cutting-edge developments in stochastic modeling, share insights on computational techniques, and foster collaborations. By focusing on key challenges and emerging methodologies, the event will contribute to advancing the field and addressing open questions in the study of complex systems.

Laurent MERTZ, City University of Hong Kong, Hong Kong
Josselin GARNIER, Ecole polytechnique, France