Future Research School: Data science and machine learning for climate research

Bertinoro, Italy

The Future Earth Research School on “Data Science and Machine Learning for Climate Research” aims to provide a comprehensive overview of the mathematical foundations of machine learning, with a particular focus on methods for the analysis of complex dynamical systems.

Topics of interest include model reduction, system identification, estimation of associated transfer operators such as the Koopman operator, control, uncertainty quantification, deep learning, but also applications in climate science and sustainability.

More information can be found on the FERS website.