Computational Social Science

Hosted by Associate Professor of Communication Cuihua (Cindy) Shen.

The Computational Social Science reading group is focused on reading and discussing the latest research on computational social science, broadly defined. It seeks to collectively identify, understand, engage, and critically assess scholarship that uses computational approaches to study various social science issues. The substantive topics of such scholarship can be collectively determined by participants. The reading group has already been meeting regularly since Fall 2016. It has been led by faculty members in the Computational Communication Research Lab as well as graduate students in the Department of Communication. The articles we have discussed so far cross-cut various social science disciplines, and are certainly not just limited to communication.

Open to all. All meetings are held in the Computational Communication Research Lab (Kerr Hall, 1st floor). For more information, contact .

Spring 2018

Click here for schedule and topics

Winter 2018

Our group met five times during Winter Quarter. We first discussed the p-value controversy and replication crisis that has been affecting a few social science disciplines. We also focused two meetings on algorithmic bias and polarization in today's social media environments. Next, we started reading chapters of Matthew Salganik's book, Bit by Bit, and will continue to read through this book this quarter.  

Fall 2017

The Computational Social Science reading group met to discuss a few general audiences articles and videos on artificial intelligence. We reviewed the recent developments of (narrow) artificial intelligence in various domains and their impact on jobs, the economy, science and design. We also discussed what challenges and opportunities artificial intelligence could bring to communication research.