61. Methodology

Gustavo Diaz, Northwestern University

Investigating the Utility of LLM-Based ‘Silicon Samples’ in Political Science Conjoint Experiments - Alice Marie Malmberg, University of California, Davis

Nonlinear Feature Expansion with Autoencoders for Political Event Prediction - Budrul Ahsan, IBM Japan; Sota Kato, International University of Japan; Iku Yoshimoto, University of Tokyo; Md. Nadim Mahamood, Machine Vision Lab, Begum Rokeya University, Rangpur, Bangladesh

Simulating Realistic Focus Group Discussions Using Large Language Models - Ali Sanaei, University of Chicago; Hua-Chou Wang; Bei Yi Koh, University of Chicago

Measuring Anti-Americanism with Multilingual LLMs - Yunus Emre Tapan, Northeastern University

Gustavo Diaz, Northwestern University

Adam Austin Bouyamourn, Princeton University