Machine-Generated Experimental Designs and The Future of Social Science
Social scientists are increasingly leveraging Generative AI models to learn about political and psychological processes. In political science, economics, and psychology, large language models are being used to classify content, generate experimental stimuli such as persuasive messages, simulate responses to surveys and incentivized experiments, and devise adaptive surveys that respond to participant input. While excitement about these tools is increasing, there is less guidance on how to rigorously incorporate them into research. This program addresses this gap by bringing together scholars developing both novel applications and methodological approaches needed to advance the field.
View the full agenda here. Funded by the Columbia Data Science Institute’s Frontiers in Data Science and AI initiative.
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Registration Request Form: Registration will be prioritized for Columbia faculty, postdoctoral researchers, affiliated scholars, and invited external guests. If you are a student, you may be waitlisted to attend until closer to the event date. All who submit a registration request will receive a confirmation email and a calendar invitation if your registration is approved. Thank you again for your interest in attending!
