Winson Peng (Ph.D., City University of Hong Kong) joined the Department of Communication at Michigan State University in 2016. Prior to that, he taught at Nanyang Technological University in Singapore from 2013 to 2016 and Macau University of Science and Technology in Macau from 2009 to 2013.
Dr. Peng's broad research interests concern the application of various computational methods (e.g., network modeling, text mining, temporal and spatial modeling) in examining human communication phenomena on social and mobile media.
His research outputs appeared in top-ranked journals of communication science, information science, public health, and computer science, such as Communication Methods and Measures, Communication Research, New Media & Society, Journal of Computer-Mediated Communication, Journal of Informetrics, JASIST, Scientometrics, AIDS Care, International Journal of Medical Informatics, Journal of Medical Internet Research, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Visualization and Computer Graphics, and elsewhere.
He was the co-founder and inaugural chair (2016-2017) of the computational methods interest group at the International Communication Association. He co-edited two special issues on computational communication research published by Communication Methods and Measures and the Asian Journal of Communication, respectively.
Peng, T. Q., Zhu, J. J. H., & Liang, H. (2019) (Eds.). Introducing computational methods for communication research in Asia-Pacific. Asian Journal of Communication, 9(3).
Peng, T. Q., Liang, H., & Zhu, J. J. H. (2019). Introducing computational social science for Asia-Pacific communication research. Asian Journal of Communication, 9, 205-216.
van Atteveldt, W., & Peng, T. Q. (2018) (Eds.). Computational methods for communication science. Communication Methods and Measures, 12(2-3).
van Atteveldt, W., & Peng, T. Q. (2018). When communication meets computation: Opportunities, challenges, and pitfalls in computational communication science. Communication Methods & Measures, 12, 81-92.