Computational Sociology

The aim of the Computational Sociology Working Group (CompSoc) is to discover and practice the latest methods in computational sociology. We encourage current computational researchers to hone and add to their skills, while also introducing computational methods to faculty and students who have never used such methods in their research. 

Our activities include: programming, software and data dessions, workshops for students' projects and fellowship applications, guest lectures, and a journal club. 

Last spring, the group also organized bi-weekly meetings to learn a new computational method, deep learning. In meetings, we discusssed and solved problem sets related to readings of the open access textbook Deep Learning.

If would like to join our email list, or workshop a project or proposal, please email student coordinators Bernard Koch,,  Ian Peacock,, or Alina Arseniev-Koehler, Jacob Foster is our faculty sponsor. 

CompSoc Reactor (Haines 108)

  • Student coordinators' offices are in the CompSoc Reactor
  • We will have weekly office hours for consultation with students who would like assistance and support in carrying out computational sociology projects
  • When students need extra RAM or access to software, they may use computers in the reactors. For bigger batch jobs, we recommend getting an account on the Hoffman2 server

For additional resources such as a reading list, list of digital research tools, and data resources, please see our site on Open Science Framework.