New York Open Statistical Programming Meetup
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October 22: AI-Augmented Survey Research: Promises, Pitfalls, and Eme(R)ging Tools
This month Soubhik Barari returns to talk about AI and surveys.
Thank you to NYU for hosting us.
Everybody attending must RSVP through the registration form at nyhackr. There is a charge for in-person and virtual tickets are free.
Space is extremely limited and in-person registration closes at 3 PM the day of the talk.
About the Talk:Can large language models (LLMs) improve the way we design, run, and analyze opinion surveys? This talk looks at both the upsides and the risks. I’ll share results from evaluations conducted by research methodologists at NORC at the University of Chicago and the broader research literature, showing how LLMs can act as both “interviewers” and “interpreters” in the opinion survey process. Along the way, we’ll talk about what actually works, what doesn’t, and what that means for the analysis of opinion and behavioral data more broadly. We’ll wrap up with a quick tour of new R tools for integrating LLMs into survey data workflows.
About Soubhik:Soubhik Barari is a quantitative social scientist and data scientist. Currently he is a Research Methodologist at NORC at the University of Chicago, working on applied problems at the intersection of survey methodology and data science. He is also an Adjunct Associate Professor of Political Science at Columbia University where he teaches data science, elections, and political communication. Previously, he's worked in research and data science roles at SurveyMonkey and Microsoft Research.
The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.
Remember, register at nyhackr.
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