Machine Learning and Data Science in Politics

Education in political science is entering a new era of "Big Data" where a diverse set of public data sources have become available to researchers and students. Machine Learning and Data Science in Politics is a new course being developed to allow undergraduate students to engage with a set of important ideas, concepts, and questions studied in political science, analyzing enormous amounts of micro data using machine learning and data science methods. The course aims to integrate the methodological and substantive curriculum within the Schwarzman College of Computing (CoC) and the School of Humanities, Arts, and Social Sciences (SHASS). Students will not only learn how to draw descriptive, statistical, predictive, and causal inferences but also explore various ethical implications of AI and machine learning in social science research.