Scott LaCombe is a PhD candidate in political science at the University of Iowa, specializing in American politics, political methodology, and public policy. His primary research agenda focuses on institutional design and its effect on state politics, including policy responsiveness, attitudes toward government, and representation in US states. He also researches state policy diffusion and innovation, with a particular emphasis on using big data to understand connections between states. He uses multi-level modeling, factor analysis, and network analysis to understand how institutions affect US state politics.
- LaCombe, S. and Juelich, C. (2019). Salient Ballot Measures and the Millennial Vote. Politics and Governance.
- LaCombe, S. and Boehmke F. (2019). "Chapter 20: Learning and Diffusion Models" in Sage Handbook of Research Methods in Political Science and International Relations.
- Boehmke, F. J., Brockway, M., Desmarais, B. A., Harden, J. J., LaCombe, S., Linder, F., & Wallach, H. (2019). A New Database for Inferring Public Policy Innovativeness and Diffusion Networks. Policy Studies Journal.