Kaiping Chen

Kaiping Chen (MPA, Columbia University, PhD, Stanford University) is an Assistant Professor in Computational Communication from University of Wisconsin-Madison, Department of Life Sciences Communication. Kaiping’s research employs data science and machine learning methods as well as interviews to examine how digital media and technologies affect politicians’ accountability to public well-being and how deliberative designs can improve the quality of public discourse on controversial and emerging technologies and mitigate the spread of misinformation and misperception. Kaiping’s works are supported by the National Science Foundation and were published in flagship journals across disciplines, including the American Political Science Review, Journal of Communication, New Media & Society, PNAS, among other peer-reviewed journals.