by Kaiping Chen, Ph.D., Assistant Professor in Computational Communication, University of Wisconsin-Madison

Dr. Kaiping Chen (PhD, Stanford University) is an Assistant Professor in Computational Communication at the University of Wisconsin-Madison, Department of Life Sciences Communication. She is also a faculty affiliate at the Department of Political Science, the Data Science Institute, and the Institute for Diversity Science. Her work uses data science and machine learning methods as well as interviews to study to what extent digital media and technologies hold politicians accountable for public well-being and how deliberative designs improve the quality of civic dialogues and mitigate misinformation and misperception. Her work was published in flagship journals across disciplines, including PNAS, American Political Science Review, Journal of Communication, Journal of Computer-Mediated Communication, Public Opinion Quarterly, Computational Communication Research,and others. Dr. Chen is the recipient of the AEJMC Lillian Lodge Kopenhaver Early Career Woman Scholar Award. Dr. Chen is also a civic engagement practitioner, with her continued passion to help local governments and communities in U.S. and China implement and analyze innovative practices of engaging and responding to communities. For her work, please see: http://www.kaipingchen.com and follow her @Kaiping_Chen.