Marco MorucciView profile
Assistant Professor
Marco Morucci is an Assistant Professor in the Department of Political Science at Michigan State University (MSU). His research focuses on developing empirical methods for political science in data-scarce environments, combining machine learning and causal inference. Applied work examines mass public action and corruption in developing countries. Education: Ph.D. in Political Methodology from Duke University, where he collaborated with David Siegel, Cynthia Rudin’s Prediction Analysis Lab, the Almost Matching Exactly Lab, and Devlab@Duke. Previously, he was a faculty fellow at the Center for Data Science at New York University. Research Interests: Innovating statistical methods for causal inference challenges, especially in low-data contexts. Applied projects include analyzing protest dynamics, constitutional structures via NLP, and corruption mechanisms in global contexts. His work bridges computational techniques with substantive political questions. Contributions: GitHub repositories reflect his methodological and applied work, including robust causal inference frameworks, constitutional clustering analyses, and legislative behavior prediction. Active in open-source tools for political science. Labs/Collaborations: Past affiliations include Duke’s interdisciplinary labs and NYU’s data science center. Current collaborations likely ongoing at MSU.
