Methodology / Methodology

Christopher Hare, University of California-Davis

Are Voters Risk Averse? Specifying Utility Functions in Spatial Models of Voting - Carlos Andres Algara, Claremont Graduate University; Sam Fuller, Harvard University; Christopher Hare, University of California-Davis

DeepNominate: Deep Learning for Ideal-Point Estimation - Umberto Mignozzetti, University of California-San Diego; Sara Hamidi, University of California-San Diego; Isabella Mullen, University of California-San Diego; Fan Yang, University of California-San Diego

Extending Contrastive Learning to Public Opinion Data: Contrastive Scaling as an Alternative to Bridging - Tzu-Ping Liu, University of Taipei; Sam Fuller, Harvard University

Sparse Contrastive Multiple Correspondence Analysis (scMCA): Making (Contrastive) Scaling Results More Interpretable - Takanori Fujiwara, Linkoping University; Tzu-Ping Liu, University of Taipei

Structured Item Response Theory Models - Max Harrison Goplerud, University of Texas at Austin

Michael J. Coppedge, University of Notre Dame

Christopher Hare, University of California-Davis