Stochastic Systems for Anomalous Diffusion

Date: 6 July - 18 December 2024

Location: Isaac Newton Institue

Diffusion refers to the movement of a particle or larger object through space subject to random effects. Mathematical models for diffusion phenomena give rise to stochastic processes, including classes of processes known collectively as diffusions or random walks. Anomalous diffusion describes processes that exhibit behaviour deviating fundamentally from the simplest diffusion models. Various physical, biological, or social mechanisms can produce anomalous diffusion.

The programme will bring together researchers in probability, stochastic analysis, and related areas, as well as (through applications of anomalous diffusion) mathematical physicists, ecologists, and materials scientists, and (through sampling algorithms) researchers in computational statistics and machine learning. The programme is built around thematically linked workshops, and will be supported by seminar series, problem sessions, engagement events, and a social programme. 

Professor Balint Toth will participate as the Clay Lecturer during October and November 2024.

CMI Enhancement and Partnership Program.