This is a joint work with Pierre Degond (Imperial College London, UK).
This workshop is organized by Christian Kühn, CSH External Faculty and TU Munich as well as Maximilian Engel, FU Berlin and Alexandra Neamtu, University of Konstanz.
The workshop will take place as an online event, a follow-up workshop will be organized in June 2022.
In many complex systems modeling at a full-scale detail is impossible. Either, not all relevant processes are known precisely, or even if they are, there are uncertainties in parameters and external influences. Furthermore, microscopic models often become far too complicated for analytical or even numerical treatment. In all these cases, stochastic methods have proven to be highly beneficial to understand complex dynamical systems. Although stochastic approaches have been extremely successful, e.g., in the context of stochastic differential equations, data analysis, information processing, or dynamical systems, the methodological approaches are often surprisingly disconnected at first sight.
The main goal of this workshop is to foster the interplay between different approaches and to explore new unifying directions and methods to tackle challenges in complex systems via stochastic dynamics. Is there a unification of stochastic methods in dynamics?
If you are interested in participating, please sign up with email@example.com.