Survey Research and Education in the Age of AI

Qixuan Chen Chair
Columbia University
 
Michael Elliott Panelist
University of Michigan
 
Dan Liao Panelist
 
Anna-Carolina Haensch Panelist
LMU Munich, Munich Center for Machine Learning, and University of Maryland, College Park
 
Brad Edwards Panelist
Westat
 
Qixuan Chen Organizer
Columbia University
 
Sunday, Aug 2: 4:00 PM - 5:50 PM
1180 
Invited Panel Session 
Thomas M. Menino Convention & Exhibition Center 
Room: CC-156C 
Amid the rapid growth of AI, machine learning, and big data, survey statistics is more important than ever. Through rigorous study design, data collection, and analytical methods, survey statistics provides essential tools not only for drawing probability samples to support population inference but also for improving the representativeness of nonprobability samples. At the same time, the field faces both exciting opportunities and pressing challenges. Harnessing rapidly evolving AI and machine learning tools to advance survey research is a priority. Equally important is engaging early-career professionals and students to collaborate on these issues. This invited panel will bring together leaders from academia and industry to reflect on innovations, challenges, and opportunities in survey research and education.

Applied

Yes

Main Sponsor

Survey Research Methods Section