Algorithmic and Human Decision-Making

4-0-8 units · Graduate

Explores how to design machine learning and AI algorithms that enhance human decision-making and tackle real-world societal challenges. Combines statistical ML frameworks with behavioral economics, focusing on applications in areas such as education, finance, economic mobility, and policy. Emphasizes identifying high-impact problems and building effective, reliable solutions. Students taking the graduate version will complete additional assignments.