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Jakob Runge is an academic researcher at the Causal Inference Lab, focusing on the intersection of causal inference methodologies and climate science. His research includes developing advanced techniques for understanding and quantifying causal relationships in complex systems, particularly through network-based approaches. Runge's contributions to the field involve enhancing model precision and recall in climate sensitivity studies and advancing the theoretical foundations of causal inference in time series data. He actively participates in workshops and conferences, aiming to improve collaborative understanding of causal inference applications in climate models.