Exploring how causal inference from observational data can benefit from advances in machine learning
Understanding the relative strengths and weaknesses of different frameworks for causal inference developed in different disciplines (econometrics, computer science, epidemiology, etc.)
Applications of new causal inference methods to typical questions from social sciences
