Stochastic Geometry in Action
Bath, 10-13 September 2024
An exciting four-day programme of talks on stochastic geometry, with new results, models and applications. There is space in the programme for a number of contributed talks, please register on the event website! The registration deadline if you want to contribute a talk is 18 August 2024. Click here for the event website.
Non-local branching processes
CIRM, Marseille, 23-27 September 2024
The main topic of the conference is spatial branching processes. As a new feature for this meeting, we will focus on models with non-local branching: the offspring location is chosen through a Markov kernel. Prototypical examples are growth-fragmentation models or evolution models. This topic opens the opportunity for new interactions between researchers in probability, functional analysis, PDE, mathematical biology…
This event will be in line with both the Bath-Beijing-Paris meetings on various branching processes and the (independent) French NOLO project. Click here for the event website.
Emerging Connections between Reaction-Diffusion, Branching Processes, and Biology
BIRS, Banff, 18-23 May 2025
A wide range of biological phenomena and subjects can be represented using mathematical models. For example, spatial ecology, the evolution of forest fires, and intracellular transport are all processes which can be described by studying "observables'' formulated as mathematical objects. The behavior of such observables within any biological system can be modeled using a variety of mathematical tools, including partial differential equations (PDE), deterministic dynamics, and stochastic movement/interactions. Developing a collection of robust mathematical techniques to analyze such models is of fundamental importance in furthering the general understanding of these phenomena.
The main goal of this workshop is to provide a common meeting ground for the diverse group of mathematicians who utilize independent tools to analyze biological models. This workshop will promote discussion, collaboration, and exchange of open questions and techniques in order to build new connections between these specialists. Furthermore, a key aspect of the program will be to foster a supportive environment for early-career researchers, fluent in the languages of probability, PDE, and biology who will be able to collaborate across fields in the future.