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Jakob Runge is a researcher specializing in causal inference, particularly in the context of climate science. His work involves the application of network-based constraint methods to assess climate sensitivity in different climate models. Runge has an in-depth background in statistical methods, and his research focuses on improving the precision and recall of causal link quantification through advanced techniques. He has contributed to various workshops and conferences related to causal inference and time series analysis, actively engaging with the academic community to promote advancements in this field. With a dedication to enhancing our understanding of climate dynamics, Runge collaborates with international teams to develop methodologies that can lead to more accurate climate predictions.