AI in the Sciences - Causal Inference Lab

Many scientific questions are fundamentally about cause and effect. Causal inference offers a principled way to combine data with domain knowledge to answer such questions, supported by theory and tools from statistics, machine learning, and AI. The Causal Inference Lab's mission is to develop theory, methods, and accessible tools for causal inference on time series data. Since March 2025, the lab is based at University of Potsdam's chair of AI in the Sciences, held by Prof. Dr. Jakob Runge. Since 2021, a second branch of the group has been active at Technische Universität (TU) Berlin through an ERC Starting Grant.

For more information on the group and news, see causalinferencelab.com