Machine Learning for Climate Action - With Researcher Kerstin Forster

How can machine learning fight climate change? Kerstin Forster, researcher at LMU and MCML, explores how AI can help reduce greenhouse gas emissions, improve renewable energy systems, and enhance early warning for extreme weather.

In collaboration with LMU and University of Cologne, her team developed AI methods to analyze sustainability reports from Europe’s largest companies. This helps policymakers and investors track progress and promote corporate practices aligned with global sustainability goals. Her work supports powerful strategies for a healthier planet and a sustainable future.

This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.