Data-driven Dynamical Systems

The goal of this summer school is to explore topics like Koopman and transfer operator theory, data-driven approximations and kernel analog forecasting.

This summer school targets advanced Master students, PhD students and young researchers who are interested in the intersection of dynamical systems and machine learning.

For further information, please visit the website.