Nick Hemauer

PhD Candidate  •  Political & Computational Social Scientist  •  Researcher

Nick is a dual-title Ph.D. Candidate in Political Science and Social Data Analytics. His work focuses on data and computational social sciences, with specializations in machine learning, natural language processing, network science, and survey science. Substantively, his primary focus is on state politics; he has published research on state firearm regulations, mental health policies, and models of policy diffusion. He is also interested in understanding misinformation and political violence on social media, as well as assessing the societal impacts of generative AI. His dissertation examines the diffusion of state firearm regulations, assesses the predictive performance of policy diffusion models at large, and evaluates generative AI for policymaking.