James Dunham is a Data Scientist at the Center for Security and Emerging Technology at Georgetown University, a policy research organization focused on the effects of progress in AI and advanced computing. In his work at Georgetown, James develops research designs for evidence-based policy products, and collaborates with subject-matter experts to solve measurement and inference problems. He specializes in natural language processing methods for scientific text.
James was previously at the Massachusetts Institute of Technology, where his doctoral research examined the activity of legislators and organized interests in state capitols. He also worked on open civic data at the MIT Election Lab and on survey methods while at MIT's Political Experiments Research Lab.
James holds a B.A. from the University of Wisconsin, an M.P.A. from NYU Wagner, and a Ph.D. in political science from MIT.