Jack Rametta

Jack T. Rametta is a political scientist with substantive interests in Congress, American Political Institutions, and political behavior. Jack's research investigates the "Legislative State," a small, complex, and understudied network of institutions that assist Congress in information acquisition, oversight and policymaking. He has published in the journal Political Behavior and his forthcoming book, Advanced Machine Learning for Experiments in the Social Sciences, is under contract with Cambridge Elements. 

At the Institute, Jack is working to refine and publish his dissertation, The Legislative State and the Republican Revolution. This work investigates the myriad changes made to Congress and her support institutions in the 1990s during the Republican Revolution using novel datasets and cutting edge methods. Taken together, this research presents a high resolution empirical view of the effects of the Republican Revolution on Congressional capacity. Aside from his core interest in Congress, Jack works on research in statistical methodology that applies machine learning to difficult social science problems such as balance testing and treatment effect estimation. 

Outside the Institute, Jack serves as an instructor of Causal Machine Learning at the ICPSR’s graduate summer program at the University of Michigan. He holds a Ph.D. in Political Science from the University of California, Davis supervised by Christopher D. Hare and Ryan Hübert.