Early stage research in Industrial Organization and Marketing
Olivia Natan, Professor
Business, Haas School
Applications for Spring 2026 are closed for this project.
This URAP project exposes students to one or more of the ongoing projects in quantitative marketing and industrial organization, including topics on product variety, pricing, and consumer demand. Examples of ongoing projects include work on business models for AI firms, and consumer search and information processing.
Projects will be supervised by Prof Natan or jointly supervised by her with co-authors.
Role: We are seeking a responsible undergraduate Research Assistant to help construct a novel dataset on the business AI market and contribute to early-stage empirical research. The RA will assist with data construction, basic data analysis, and exploratory insights. This opportunity is well-suited for students interested in technology, AI, or market dynamics. Reliability and attention to detail are essential; no prior experience required
Qualifications: Applicants should have interest in academic empirical research in marketing or economics and great communication skills.
Day-to-day supervisor for this project: Dingzhe Leng, Ph.D. candidate
Hours: to be negotiated
Off-Campus Research Site: Remote
Digital Humanities and Data Science Social Sciences