71. Methodology

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

Model Complexity for Supervised Learning: Why Simple Models Almost Always Work Best, And Why It Matters for Applied Research - Arthur P Spirling, Princeton University; Marco Morucci, New York University

MrDeep: Deep Learning Approach for Multilevel Regression and Poststratification - Lilly Amirjavadi, University of California-San Diego; Jeff Hastings, University of California-San Diego; Umberto Mignozzetti, University of California-San Diego; Ariella Zwerling, University of California-San Diego

Uncovering black box prediction models using explainable artificial intelligence (XAI) - Budrul Ahsan, Philips Japan; Sota Kato, Tokyo Foundation for Policy Research; Takafumi Nakanishi, Musashino University; Ryotaro Okada, Musashino University; Iku Yoshimoto, The University of Tokyo

Seo Eun "Sunny" Yang, Northeastern University