Limits to Prediction

With enough data and the right algorithms does everything become predictable?


Is everything predictable given enough data and powerful algorithms? This seminar explores that question through social science and computer science research in over a dozen domains including life trajectories of individuals, wars, weather, disease outbreaks, social media, and image classification. We aim to identify fundamental limits, learn about common pitfalls, and explore policy implications. Coursework is a mix of reading and empirical work tailored to students’ backgrounds. The course, which is for graduate students in both computer science and the social sciences, is designed to facilitate publishable student research.

Learning objectives