I am an Assistant Professor of Political Science at Yale University. I study American politics, and my research interests include historical political economy, elections and election law, and the media and local newspapers.
I am also a Resident Fellow at the Institution for Social and Policy Studies (ISPS) and Faculty Affiliate at the Center for American Political Studies (CSAP), both at Yale. Previously, I was an affiliate of the Center for American Political Studies (CAPS) and Institute for Quantitative Social Sciences (IQSS) at Harvard. I have also worked for the MIT Election Data and Science Lab (MEDSL) and was part of the Stanford-MIT Healthy Elections Project.
Published Research Articles
6. A Drag on the Ticket? Estimating Top-of-the-Ticket Effects on Down-Ballot Races. DeLuca, Kevin, Daniel Moskowitz, and Benjamin Schneer. 2025. American Political Science Review [Conditionally Accepted]
5. Editor’s Choice: Measuring Candidate Quality using Local Newspaper Endorsements. DeLuca, Kevin. 2025. Journal of Politics, Just Accepted [Publisher Link]
4. The Power of Characters: Evaluating Machine Learning Modified Bayesian Improved Surname Geocoding Inference of Race in Redistricting. 2024. Curiel, John A. and Kevin DeLuca. State Politics & Policy Quarterly, 24(3): 300-321. [Publisher Link]
3. A Partisan Solution to Partisan Gerrymandering: The Define-Combine Procedure. 2023. Palmer, Maxwell, Benjamin Schneer, and Kevin DeLuca. Political Analysis, First View, 1-16. [Publisher Link]
2. Validating the Applicability of Bayesian Inference with Surname and Geocoding to Congressional Redistricting. 2023. DeLuca, Kevin, and John A. Curiel. Political Analysis, 30(3): 465-471. [Publisher Link]
1. American Election Results at the Precinct Level. 2022. Baltz, Samuel, Alexander Agadjanian, Declan Chin, John Curiel, Kevin DeLuca, James Dunham, Jennifer Miranda, Connor Phillips, Annabel Uhlman,Cameron Wimpy, Marcos Zárate, and Charles Stewart. Scientific Data 9, 651. [Publisher Link]
