Using Topic Modeling to Predict Conflicts

Chris Rauh is a Professor of Economics and Data Science at the University of Cambridge. He works with complex datasets and applied methodologies, including machine learning and structural modelling. He co-founded conflictforecast.org and has conducted projects for Britain’s Foreign, Commonwealth and Development Office, the German Foreign Office, and the IMF. He’s also listed amongst the top 1% of Economists in terms of research output in the last ten years. This episode's podcast covers: the hard problem of predicting conflicts, defining conflicts: wars, civil wars, terrorism, whether the theory of conflict match reality, and much more. 

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