Hanlin Li (李函霖)
Hanlin Li is an assistant professor in the School of Information at UT Austin. Her research aims to inform policy and design interventions to incentivize responsible data collection and use. She examines the societal and economic impact of data generated by the public, from rating data to social media comments. Her work sits at the intersection of data governance and human-computer interaction. Li holds a Ph.D. in Technology and Social Behavior from Northwestern University. She publishes in ICWSM, ACM CHI, ACM CSCW, and ACM FAccT. Her work has been featured in national and international media.
CV - Jan 2023
Spring 2024 Office Hours
Thu 10:30-11:30am on Zoom
Work with me
I accept Ph.D. students through the Ph.D. program in Information Studies. I am currently looking for students interested in quantitative methods, user-generated content, online communities, and system building.
Current UT undergrad and grad students may complete independent study course credits with me and should feel free to reach out via email.
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