Tyler Simko
Faculty Associate
- Email Tyler Simko
- (734)764-8354
- Tyler Simko's CV (PDF)
BIO
Tyler Simko specializes in US state and local politics, political geography, and computational social science.
Simko is Co-PI of the Algorithm-Assisted Redistricting Methodology (ALARM) Project, a research group focused on how public policy influences spatial inequality. Before moving to Michigan, he was a Postdoctoral Research Associate at Princeton University in the Department of Politics.
- Barari, Soubhik, Tyler Simko. 2025. The Promise of Text, Audio, and Video Data for the Study of US Local Politics and Federalism. Publius: The Journal of Federalism 55(2):223-252.
- Christopher T. Kenny, Cory McCartan, Shiro Kuriwaki, Tyler Simko, Kosuke Imai. 2024. Evaluating bias and noise induced by the U.S. Census Bureau's privacy protection methods. Science Advances 10(18)
- Christopher T. Kenny, Cory McCartan, Tyler Simko, Shiro Kuriwaki, Kosuke Imai. 2023. Widespread partisan gerrymandering mostly cancels nationally, but reduces electoral competition. Proceedings of the National Academy of Sciences 120(25):e2217322120.
- Mirya Holman, Rebecca Johnson, Tyler Simko. 2023. Measuring Conflict in Local Politics. Urban Affairs Review
- McCartan, Cory, Kenny, Christopher T., Tyler Simko, et al. 2022. Simulated redistricting plans for the analysis and evaluation of redistricting in the United States. Scientific Data 9(1):1-10.
- Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan T. R. Rosenman, Tyler Simko, Kosuke Imai. 2021. The use of differential privacy for census data and its impact on redistricting: The case of the 2020 U.S. Census. Science Advances 7(41)
