Susan Athey
Susan Athey is the Economics of Technology Professor at Stanford. Her current research focuses on the economics of digitization, marketplace design, and the intersection of econometrics and machine learning.
Susan AtheyBoth extended abstracts and full papers accepted
Giovanni Compiani, Assistant Professor of Marketing, Chicago Booth
Malika Korganbekova, Assistant Professor of Marketing, Chicago Booth
Estimating consumer preferences is a key building block of many empirical analyses in marketing and economics, including pricing, merger policy, product design and branding.
Standard approaches focus on one product category at a time and model demand as a function of a few marketing mix variables and product attributes. Recently, new sources of data have become available, including:
• Unstructured data (e.g., texts, images and videos)
• Big data (e.g., data from a large number of possibly interrelated product categories)
• Clickstream data (e.g., search sessions on e-commerce platforms)
• Data produced by generative AI (e.g., ChatGPT)
• Novel survey data
The conference aims to bring together scholars in marketing, economics and statistics/AI/ML who use Machine Learning, NLP, and other tools to extract valuable insights from new types of data. We hope the conference can serve as a bridge between different fields. Extended abstracts and full papers are welcome for both methodological and empirical submissions.
In addition to contributed sessions, the conference will feature keynote lectures by Susan Athey and Greg Lewis.
Programming:
Friday, May 30, 2025 12:00 - 9:00 p.m. CT | Chicago Booth, Gleacher Center
Saturday, May 31, 2025 9:00 a.m. - 5:00 p.m. CT | Chicago Booth, Gleacher Center
Accommodations:
Hotel recommendations
For questions, please contact Flora Alvarado.
Susan Athey is the Economics of Technology Professor at Stanford. Her current research focuses on the economics of digitization, marketplace design, and the intersection of econometrics and machine learning.
Susan AtheyGreg Lewis works in economics, causal machine learning and marketplace design. He has previously been a senior principal economist at Amazon, senior principal researcher at Microsoft Research and associate professor of economics at Harvard.
Greg Lewis