FDS Workshop AI for Social Science Research Methods
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Yale Institute for Foundations of Data Science

AI for Social Science
Research Methods

Workshop Presentations
May 20–22, 2026 · Yale University

Keynote

Day 2 · May 22
Nicholas Christakis
Yale University
Talk title to be announced
May 22 · 11:00 AM – 12:00 PM

Oral Presentations

12 presenters Days 1 & 2
  1. Siwei Cheng New York University
    Who Talks to Whom? Measuring Segregation in Informal Interactions at Academic Conferences Using Images and Vision–Language Models
  2. Sharad Goel Harvard University
    Title to be announced
  3. Valentina Gonzalez-Rostani University of Southern California
    When Responses Are Assisted: Identifying AI Assistance and Agents in Surveys
  4. Kosuke Imai Harvard University
    Title to be announced
  5. Yingdan Lu Northwestern University
    Mitigating Confounding Bias in Observational Visual Media Research: An LLM-Informed, Machine Learning-Based Inference Framework
  6. Matthew Salganik Princeton University
    Title to be announced
  7. Austin van Loon MIT Sloan
    Using Large Language Models as a Source of Human Behavioral Data in Social Science Experiments
  8. Alexander Volfovsky Duke University
    Title to be announced
  9. Hannah Waight University of Oregon
    Title to be announced
  10. Yiqing Xu Stanford University
    Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Reanalysis
  11. Eddie Yang Purdue University
    Data Annotation with Large Language Models: Lessons from a Large Empirical Evaluation
  12. Han Zhang Brown University
    How Should Experimenters Construct Image Stimuli? A Framework for Controlled Image Construction

Lightning Round Presentations

8 presenters Day 2 · May 22
  1. Soubhik Barari NORC at the University of Chicago
    AI-Assisted Conversational Interviewing: Effects on Data Quality and Respondent Experience
  2. David Broska Stanford University
    Social Science Simulator: A Tool for Simulating Experiments with LLMs
  3. Jacob Crainic Yee Collins Research Group
    Prompt Degrees of Freedom in LLM-Based Social Science: A Specification Curve Framework for Transparent Reporting
  4. Jiaxin (Allyson) Cui Duke University
    Same Prompt, Different Outcomes: Evaluating the Reproducibility of Data Analysis by LLMs
  5. Junsol Kim University of Chicago / Google
    Reasoning Models Generate Societies of Thought
  6. Joe Siev University of Virginia Darden School of Business
    The Cross-Context Design: An AI-Enabled Method for Testing Behavioral Hypotheses across Archival Datasets
  7. Yuehong Cassandra Tai Penn State University
    From Annotation to Measurement: Traceable Workflows for LLM Inference
  8. Charles Eesley Stanford University
    Four Paradigms for AI-Enabled Social Science Research
    Presenting for Guankai Zhai

Poster Presentations

32 presenters · 33 posters Evening Reception · May 21
  1. Sidhika Balachandar UC Berkeley
    Using Sparse Autoencoders to Measure Social Biases in Podcast Data
  2. Honglin Bao University of Chicago
    Improving AI for Scientific Discovery with 6749 Scientists
  3. Youngjin Chae Rutgers University
    Survey as Life-course Annotation: Extracting Life Histories from Survey Data Using Large Language Models
  4. Xi Chen Yale University
    The Hidden Costs of AI Diagnosis: Safety Tradeoffs and Demographic Disparities in Chatbot Performance
  5. Yue Chu The Ohio State University
    AI as Measurement Infrastructure: Adaptive Survey Design in Verbal Autopsy
  6. Erdem Demirtas University of Copenhagen
    Measuring Hidden Conceptual Change with AI: A Dual-Embedding Framework for Political Text
  7. Tianyu Fan Yale University
    The Geopolitical Determinants of Economic Growth, 1960–2024
  8. Mohamed Dhia Hammami Syracuse University
    Agentic Retrieval Models for Elite Network Data Collection: Application to the Israeli Case
  9. Orestes Hastings Colorado State University
    Can AI Predict Life Outcomes? Large Language Models and the Birth Lottery
  10. Nico Hernandez-Aguilera Yale University
    iKON in Colombia: Hybrid Human–AI Data Collection for Historical Climate Impacts via WhatsApp Pairwise Comparisons
  11. Yiming Huang The Ohio State University
    When the Black Box Enters Leisure: A Cognitive–Affective Dual-Path Model of AI-Generated Video and Recovery
  12. Liangze "Robert" Ke Yale School of Public Health
    Yolov5-based Computer Vision Model Measures Political Polarization: Visible Interactions Between Religious and Non-religious Citizens
  13. So Kubota Tohoku University
    LLM-Assisted Replication as Social Science Infrastructure
  14. Jack LaViolette Columbia University
    An LLM-enabled Hermeneutics of Fictional Personality: Social Difference and the Moral Structure of the American Literary Field, 1860–1900
  15. Kyungho Lee Yale University
    Copyright and Competition: Estimating Supply and Demand with Unstructured Data
  16. Jingyuan Liu Boston University
    What is Actually Being Annotated? Inter-Prompt Reliability as a Measurement Problem in LLM-Based Social Science Labeling
  17. Menglin (Miley) Liu The Chinese University of Hong Kong, Shenzhen
    Hearing Democracy: Audio-Based Classification of Speakers in City Council Meetings Using Multimodal LLMs, Temporal Context, and Multi-Agent Deliberation
  18. Pangpang Liu Yale University
    Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
  19. Riyang Liu Yale School of Public Health
    Reconstructing Gridded Historical Particulate Matter Concentrations: A Deep Learning Approach
  20. Robin Na MIT
    1. Limits of Literature-Conditioned Large Language Models for Predicting Behavioral Experiments
    2. Simulating Institutions with Borrowed Populations: Cross-Study Behavioral Portability via LLM-Mediated Simulation
  21. Jake Nicoll University of Chicago (Harris School of Public Policy)
    (How) Do We Teach Emotions?
  22. Jingyi Qiu University of Michigan
    Counterfactual LLM-based Framework for Measuring Rhetorical Style
  23. Kyle Siler University of Toronto
    The Diffusion of Large Language Models in Published Academic Articles
  24. Kexin Song Yale School of the Environment
    From Pixels to Evidence: AI and Satellite Data as Social Science Tools in the Rohingya Crisis
  25. Zerui Tian University of Oxford
    Gendered Signals in LLM-Masked Adolescents' Writing: An Embedding-Based Index and Later-life Outcomes for a UK Cohort
  26. Binglu Wang Northwestern University
    Human–AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
  27. Hanning Wang University of Pittsburgh
    Rethinking Codebook Development in Framing Analysis with LLMs
  28. Lai Wei The University of Hong Kong
    Using AI Predictions to Augment Rather Than Replace Surveys
  29. Shimmei Yamauchi University of Tokyo
    Measuring Meaning on Video at Scale: From Classifier to Theory Interpreter in AI-Based Humor Annotation
  30. Weijun Yuan The University of Chicago
    Task Dependence, Communication Networks, and Small Group Coordination: A Multi-Agent AI Experiment of the PCANS Model
  31. Yongjun Zhang Stony Brook University
    Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace Social Scientists?
  32. Yifei Zhu University of Hong Kong
    Agentic Framework for Political Biography Extraction
AI for Social Science Research Methods Workshop · May 20–22, 2026
Yale Institute for Foundations of Data Science
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FDS Workshop: AI for Social Science Research Methods
FDS Workshop: AI for Social Science Research Methods
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