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.
New Data for Consumer Insights Conference
May 30-31, 2025
Paper Submissions: Closed
Conference Co-chairs:
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:
鈥� Unstructured data (e.g., texts, images and videos)
鈥� Big data (e.g., data from a large number of possibly interrelated product categories)
鈥� Clickstream data (e.g., search sessions on e-commerce platforms)
鈥� Data produced by generative AI (e.g., ChatGPT)
鈥� 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 and .
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
Agenda:
View programming agenda here.
Registration:
.
Pricing:
Faculty: $150 USD
University of Chicago Faculty: No cost (The conference is free to attend for University of Chicago faculty, but due to venue space limitations, we expect all registered participants to make every effort to attend).
Speaker/Discussant: No cost
Accommodations:
Please note that hotels are filling up quickly due to other conferences taking place in the city. You may see higher rates at this time due to demand. We encourage you to consider hotels outside walking distance or other alternative accommodation options.
For questions, please contact Flora Alvarado.
Keynote Speakers
Greg 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.