Research Interests

I’m an institutionalist at heart and most of the substance of my work explores how we create rules and meaning for ourselves. Methodologically, I am a computational social scientist interested in contributing to methodological approaches, such as text analysis and agent-based modeling.

Ongoing projects

I have three main projects in process right now – all generally computational in nature, mostly focused upon how we make meaning. The third project, on ABMs, is a methodological project exploring how to maximize outcomes.

Music lyrics

This is a multifaceted project looking at new methodological approaches to text analysis. In the initial project, we explore one artist’s cannon and analyze distinctions between rhetoric-focused and emotion-focused language, mapping a landscape across the career of Taylor Swift. This article just received a revise and resubmit.

Our follow-up project expands beyond one artist to look more generally at pop music.

Place-making

This project explores how fandom creates self-reinforcing structures. I scrape fandom subreddits, analyzing the content of discussions and how fans create expansive third places.

ABM

This project is a collaboration on ABM design from a perspective of better means to evaluate the model’s success. We use machine learning to predict effective parameter combinations for more productive sweeps.

Publications

Alter, K., Clipperton, J., Schraudenbach, E., & Rozier, L. (2020). Gender and Status in American Political Science: Who Determines Whether a Scholar Is Noteworthy? Perspectives on Politics, 18(4), 1048-1067. doi:10.1017/S1537592719004985

Non Peer-Reviewed Publications

Working Papers

  • Clipperton, Jean, Josue Franco, Shane Nordyke, Melissa Shaffer O’Connell, Frederick Wood. 2020. “SOTL Research Design for Assessment of Interventions.” APSA Preprints. doi:10.33774/apsa-2020-gwfl0.