IAR Seminar: Wei Ai
Room 3330 North Quad
PhD candidate Wei Ai will present "Promote Pro-Social Behavior through End-to-End Data Science" at the weekly meeting of the IAR (Information Analysis and Retrieval) group.
In this talk, I introduce how I employ end-to-end data science to promote behavioral change for pro-social benefits. More specifically, I conduct data analysis with causal awareness; 2) design recommender systems for individual actions and 3) implement field experiments to change user behavior. I will present their applications to increase user participation in microfinance and sharing economies.
Wei Ai is a Ph.D. candidate in the University of Michigan School of Information, advised by Qiaozhu Mei. His research interest lies in data science for social good, where the advances of machine learning and data analysis algorithms translate into great impacts on society. He holds a B.S. in Computer Science and a B.A. in Economics from Peking University in China. His research has been published in top journals and conferences, including PNAS, ACM TOIS, WWW, and ICWSM.