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Marco Morucci is an assistant professor in the Department of Political Science at Michigan State University. His research focuses on the use of research methods in empirical political science, particularly in data-scarce environments. He addresses issues that involve combining machine learning techniques with causal inference methodologies. His applied research centers on understanding the causes and consequences of mass public action, as well as issues related to corruption and bribery in developing countries. Morucci received his PhD in political methodology from Duke University, where he worked under the guidance of David Siegel and participated in Cynthia Rudin's Prediction Analysis Lab. He was also involved in the inter-departmental Matching Lab and Devlab@Duke. Upon joining MSU, he became a fellow at the Center for Data Science at New York University.
Department of Psychology