Hanlin Li

Hanlin Li is an Assistant Professor at the School of Information, University of Texas at Austin. She holds a Ph.D. in Technology and Social Behavior from Northwestern University (2022). Her research focuses on the intersection of data governance and human-computer interaction, analyzing societal and economic impacts of public-generated data.

• Education: Ph.D. in Technology and Social Behavior (2022), Northwestern University

Li’s work addresses policy interventions for responsible data collection, examining topics like data labor, monetization, and collective action. She emphasizes cross-platform dynamics and economic incentives in AI systems. Her publications appear in top venues such as ACM CHI, ACM CSCW, ACM FAccT, and ICWSM, with media coverage in NY Times, MIT Technology Review, and Bloomberg.

Recent research trends include:

• 2025: Algorithmic collective action frameworks at NeurIPS
• 2024: Data governance practices at NeurIPS
• 2023: Data labor empowerment in ACM FAccT
• 2022: Platform moderation economics

Scientific Recognition:

• Best Paper Honorable Mention at ICWSM’22

Li teaches Responsible Data Management and Data and Society courses, exploring intersections of technology, ethics, and policy. She advocates for equitable data economies through white papers and collaborations with institutions like the Berggruen Institute and Federal Reserve Bank of St. Louis.