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15:30 - 17:00
Validity, Measurement and Replication
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Location: Senate Room (19/F LAU)
Chair/s:
Le Bao
Discussant/s:
David Broska
Na Liu - Information conditions govern the validity of AI-generated experimental data across inferential targets
Plamen Akaliyski - When AI Thinks about Culture: Comparing Language-Based and Empirical Measures of Individualism-Collectivism
Leo Yang - Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis
Simon Maier - Replication and Specification Range Analysis with AI Agents
Panel 1-Senate Room (19/F LAU)-01
Information conditions govern the validity of AI-generated experimental data across inferential targets
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Na Liu, Peking University, China Center for Agricultural Policy, School of Advanced Agricultural Sciences, Beijing, 100871, China.
Panel 1-Senate Room (19/F LAU)-02
When AI Thinks about Culture: Comparing Language-Based and Empirical Measures of Individualism-Collectivism
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Plamen Akaliyski, Department of Sociology and Social Policy, Lingnan University, Hong Kong SAR, China
Panel 1-Senate Room (19/F LAU)-03
Scaling Reproducibility: An AI-Assisted Workflow for Large-Scale Replication and Reanalysis
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Leo Yang, Hong Kong Baptist University
Panel 1-Senate Room (19/F LAU)-04
Replication and Specification Range Analysis with AI Agents
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Simon Maier, Ulm University