Following a long tradition of OpenGeoHub Summer Schools, the KI:STE project took the opportunity to co-host this year’s Summer School on Earth system data analysis. Ribana Roscher, Benedikt Gräler, Markus Abeld and Martin Schultz gave well-received lectures at the Summer School. Topics were explainable machine learning, extreme events, stochastic processes, and deep learning for atmospheric physics.
Further reading: https://opengeohub.org/summer-school/siegburg-2022/