Computational Social Science: Methods for Data Driven Discovery



  • Location: I Hotel and Conference Center
  • Date and time:  March 15, 9:00 am –4:30 pm
  • FREE and open to all graduate students. Registration is limited (Register here)
  • Each attendee should bring a laptop to the workshop in order to follow along during software demonstrations.
  • Coffee and snacks will be provided.

90% of the world’s data was generated over only the past 2 years. The volume of data, the variety of data available, and the velocity with which it is being generated create both challenges and opportunities for researchers. New methods of analysis are necessary to make sense of our data-rich world, and so the Scholarly Commons and I-CHASS are offering a FREE workshop for graduate students that gives an overview of cutting edge computational data analysis approaches and tools so that you can get started using these exciting new research methods in your own work.

The workshop is on Saturday, March 15th, from 9:00am to 4:30pm at the I-Hotel. Lunch, snacks, and coffee breaks will be provided. The topics that will be covered tentatively include: text analysis, network analysis, geographical information systems (GIS), data visualization, machine learning, and the locating, preparing, and managing of large datasets on and offline.

If you have any questions about the conference, please contact Harriett Green at This workshop is free and open to all graduate students. Conference registration is limited, so register early at this link. We can accommodate most dietary needs at lunch if you email Natalie Lambert at by March 10th.

Workshop Schedule:

8:30am – 9:00am. Registration outside of Technology conference room in I-Hotel

9:00am – 9:15am. Introduction by Scott Poole, Department of Communication & Director of I-CHASS

9:15am – 10:15am. Session 1: Data Preparation – Harriett Green, English and Digital Humanities Librarian & Karen Hogenboom, Numeric and Spatial Data Librarian

10:15am – 10:45am. BREAK: Coffee and snacks served outside conference room. Resource displays in Loyalty room.

10:45am – 11:45am. Session 2: Text Analysis – Ted Underwood & Mike Black, English Department

11:45am – 1:00pm.  LUNCH: Boxed lunches served outside conference room. Resource displays in Loyalty room.

1:00pm – 2:00pm. Session 3: Network Analysis –  Jana Diesner, Graduate School of Library & Information Science.

2:00pm – 3:00pm. Session 4: GIS – Shaowen Wang, Anand Padmanabhan, & Yan Liu, Cyberinfrastructure and Geospatial Information Group (CIGI); and Maryalice Wu, ATLAS.

3:00pm – 3:30pm. BREAK: Coffee and snacks served outside conference room. Resource displays in Loyalty room.

3:30pm – 4:30pm. Session 5: Machine Learning – Andy Pilny, Department of Communication

4:40pm. Closing by Scott Poole

Sponsored by the Institute for Computing in Humanities, Arts, and Social Sciences (I-CHASS), the Scholarly Commons, the College of Liberal Arts & Sciences, the Department of Communication, the Graduate School of Library and Information Science, and the National Center for Supercomputing Applications.