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. Our meetings are usually Wednesdays 10:30-12 in Haines 108. 

We also have an ongoing reading group to learn a new computational method, deep learning. In meetings, we discuss and solve problem sets related to readings of the open access textbook Deep Learning. These meetings are usually Wednesdays 12-1 in Haines 108. 

If would like to join our email list, suggest a meeting topic (e.g., programming in Python) or workshop a project or proposal, please email student coordinators Bernard Koch, bernardkoch@ucla.edu,  Ian Peacock, ipeacock@ucla.edu, or Alina Arseniev-Koehler, arsena@g.ucla.edu. 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 proposing or carrying out computational sociology projects. Bernie's office hours in Haines 108 are: Mondays 12-1, Alina: Mondays 12-1, Ian: Fridays 8:30-10.  We're all also available by appointment. 
  • 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. 

Fall Quarter Schedule:

10/16 Workshop: NSF Review (10:30-12 in Haines 279)

11/1 Professor Hongjing Lu  (UCLA Pychology) speaking on her current work (10:30-12 in Haines 279)

11/13 Planning the Computational Sociology Field Exam (10:30-12 in Haines 279)

11/20 Journal Club: "Human Decisions and Machine Predictions" (10:30-12 in Haines 279)

11/27 Workshop: Summer Internships and Fellowships in CompSoc and Data Science (10:30-12 in Haines 279)

11/29 Workshop: Python programming basics with applications to text data (10:30-12 in Haines 279)

Winter Quarter Schedule:

Wednesdays: Deep Learning Group (12-2 in Haines 108)

1/17  Workshop: Intro to Text Analysis in Python (10:30-12 in Haines 215)

1/20 Workshop: Statistical Programming in R (12-2 in Haines 279)

1/24 Chris Esposito (Geography) speaking on his current work (10:30-12 in Haines 215)

2/2 Professor Neal Caren speaking on his current work (10:30-12 in Haines 279, Co-sponsored with MOMWG)

2/21 Workshop: Text Analysis from Scratch (as part of the UCLA Library Winter Workshop Series). 11:30-1:30 in the Young Research Library