DGPE PhD course: Causal Machine Learning for Social Scientists

Machine learning has become an increasingly important tool for causal analysis in the social sciences. This course introduces PhD students and early-career researchers to modern causal machine learning methods that combine the flexibility of machine learning with the rigor of causal inference. The course begins with a brief introduction to key predictive machine learning techniques, including regularized regression and tree-based methods, before turning to methods for handling confounding, estimating differential treatment effects, and learning optimal policies from data.

Please follow this link: https://www.cbs.dk/events/phd-course-causal-machine-learning-social-scientists