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. It takes place at the University of Bremen, July 24 - 26, 2024.

Main speakers are Dimitrios Giannakis (Dartmouth College, USA), Stefan Klus (Heriot-Watt University, UK), and Caroline Wormell (University of Sydney, AUS).

Organizers are Annika Osmers, Anke Pohl, Friederike Preuße, and Renu Yadav (all University of Bremen, Germany).

The participation is free of charge but with prior registration. If you want to give a short talk and/or a poster presentation, please mention it in the registration form. The registrations will open on 4th of March, 2024.

For more details: http://unihb.eu/dds24