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 .

Winter 2018

Friday, January 12 @ 12:00 p.m.

P-hacking and the Replication Crisis

Hosted by Grace Benefield. We are asking every attendee to sign up for at least two articles. That means you will read them before the meeting, and bring a couple of questions for discussion.  If you'd like to suggest any other reading, feel free to do so on the Google doc.

Friday, January 26 @ 12:00 p.m.

Topic TBD


Fall 2017

Friday, December 1 @ 12:00 p.m.

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.