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PhD candidate Ally Lazar selected as RAND summer associate

November 08, 2024

This summer, PhD candidate Ally Lazar was selected as a RAND summer associate. She spent the summer in the Defense and Political Science section of RAND, working on a project in the Arroyo Center (RAND Army Research Division). This work builds on Ally's broader research interests of international security, political violence, and terrorism. https://www.rand.org/jobs/summer-associates/cohort-2024.html

PhD alumni Carlos Algara's and Jonathan Colner's models correctly forecast Trump taking the electoral college and popular vote

November 07, 2024

PhD alumni Carlos Algara (Assistant Professor, Claremont Graduate University) and Jonathan Colner (Faculty Fellow, NYU) each co-authored an article as part a PS: Political Science & Politics journal symposium on the 2024 presidential election. Their models were the only ones in the symposium to correctly forecast former President Trump taking both the electoral college and popular vote.

PhD candidate Alice Malmberg publishes article on electoral backsliding

November 07, 2024

Ph.D. Candidate Alice Malmberg has published an article in Election Law Journal where she assesses the effects on the Supreme Court's decision in Shelby County v. Holder (2013) on electoral backsliding across the American states. Check out the article here <https://doi.org/10.1089/elj.2023.0052> and coverage on Rick Hasen's Election Law blog here <https://electionlawblog.org/?p=146878>.

PhD student Menglin (Miley) Liu launches new large language model (LLM) python package

November 07, 2024

PhD candidate Miley Liu recently launched a python package called PoliPrompt that streamlines the process of text classification using LLMs, addressing some of the key limitations researchers face in this domain. PoliPrompt uses automatic prompt optimization to significantly improve the accuracy and scalability of LLM classification tasks while reducing the manual effort required from researchers. You can find the package on PyPI: https://pypi.org/project/PoliPrompt/

Associate Prof Josephine Andrews and PhD candidate Yu-Shiuan Huang have published their work in Party Politics

November 07, 2024

Professor Josephine Andrews and PhD candidate Yu-Shiuan Huang have co-authored an article, “Winners, Losers, and Affective Polarization,” in Party Politics. They analyze the winner-loser gap in affective polarization and find that winners’ affective polarization is significantly greater than losers’, and the difference is due to winners’ consistently higher in-party favoritism. https://journals.sagepub.com/doi/10.1177/13540688241292556