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20858 - Reimagining How We Measure and Model the Social World: Causation, Flows, and Artificial Intelligence
Sat, August 9, 2:00 to 3:30pm, West Tower, Hyatt Regency Chicago, Floor: Concourse Level/Bronze, ColumbianDescription
This session spotlights five cutting-edge methodological frontiers for studying sociological phenomena—such as groups, language, and inequality—through the quantitative analysis of empirical data. Each paper critiques limitations in standard approaches and introduces a novel solution that better integrates theory and method. Collectively, this work represents the state-of-the-art in the sociological application of causal inference, text analysis, and social network analysis, offering fresh perspectives on capturing the complexities of the social world.
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Individual Presentations
Causal Mediation Analysis with Multiple Mediators: A Simulation Approach - Geoffrey Thomas Wodtke, University of Chicago; Jesse Zhou, University of Chicago
How to Use Image-Based Vignettes in Survey Experiments: An Image-Editing Approach - Han Zhang, Brown University
Quantifying Narrative Diffusion Across Languages - Hannah Waight, University of Oregon; Solomon Messing; Anton Shirikov; Margaret Roberts; Jonathan Nagler; Jason Greenfield; Megan Brown; Kevin Aslett; Joshua Tucker
How to Choose Donors for Individual Synthetic Control - Ian Lundberg, University of California, Los Angeles; Yaling Xu, Cornell University