The Course “AI and Machine Learning for Earth System Modeling and Prediction” aims to explore the forefront of machine learning and artificial intelligence applications in Earth system science. With the exponential growth in climate data and advances in computational methods, this course offers students the opportunity to apply cutting-edge ML techniques to better understand, model, and predict the behavior of the Earth system.

Climate change poses unprecedented challenges to legal systems, governance structures, and the production and use of scientific knowledge. As these challenges cut across traditional disciplinary boundaries, addressing climate change requires sustained interdisciplinary dialogue between legal scholarship and climate science.

This summer school offers an in-depth, research-focused exploration of the evolving relationship between climate change law and climate science. The course examines how scientific knowledge is generated, assessed, and translated into legal reasoning, regulatory frameworks, and litigation strategies.