Hanlin Li is a postdoctoral scholar at UC Berkeley and an incoming assistant professor at UT Austin. Her research sits at the intersection of data governance and HCI. She examines the societal and economic impact of data generated by the public, from rating data to social media comments. Her research aims to inform policy and design interventions to incentivize responsible data collection and use. Li publishes in ICWSM, ACM CHI, ACM CSCW, and ACM FAccT. Her work has won an award at ICWSM and has been featured in national and international media, such as the NY Times, the MIT Technology Review, and Bloomberg.