State Legislature Age Project
Longitudinal, cross-state data on legislator age and population demographics from 2017–2024.
Research agenda
My work is organized around four connected areas. Expand each section for manuscripts, active projects, and recent presentations.
01
How campaign appeals shape evaluation, recall, and political judgment.
The dissertation examines how responses to positive, negative, and contrast campaign messages vary across contemporary information environments, including effects on candidate evaluations and open-ended reactions.
02
Transparent, validated uses of language models for classifying open-ended responses.
With Richard Lau. An evaluation of human-guided AI classification for 2020 ANES candidate likes and dislikes. Under review at Public Opinion Quarterly.
03
Candidate age, descriptive representation, and the age gap in American institutions.
Two experiments test how candidate age shapes impressions and vote willingness in simulated primary elections. Under review at the Journal of Experimental Political Science.
04
Voting behavior, racial attitudes, and the politics of Puerto Rico’s status.
With Maria Ovalle. Under review at Political Research Quarterly.
Data & coding
Projects combine public data, statistical programming, survey platforms, and computational tools.
Longitudinal, cross-state data on legislator age and population demographics from 2017–2024.
Congressional age data spanning 2002–2024 for studying generational representation.
A human-guided AI workflow with validation across topic and major-category codebooks.
For replication files, data inquiries, or collaboration, please contact me.
Research profiles