Brian Keegan is a computational social scientist using data science tools to answer social science questions about how online communities organize in response to disruptions. His research has explored how Wikipedia editors self-organize to write article about current events, how millions of players learn new strategies after software patches, and how Twitter is used during media events like presidential debates and sporting championships. Keegan is an assistant professor at the Department of Information Science at the University of Colorado Boulder, worked a researcher at the Harvard Business School and Northeastern University, received his M.A. and Ph.D. from Northwestern University's School of Communication, and his S.B. degrees from the Massachusetts Institute of Technology.
Experience
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2016–presentAssistant professor, University of Colorado Boulder
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2014–2016Research associate, Harvard Business School
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2012–2014Postdoctoral research associate, Northeastern University
Education
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2012Northwestern University, Ph.D., Media, Technology, & Society
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2010Northwestern University, M.A., Media, Technology, & Society
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2006Massachusetts Institute of Technology, S.B., Science, Technology, & Society
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2006Massachusetts Institute of Technology, S.B., Mechanical Engineering
Grants and Contracts
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2019CHS: Small: A Genealogical Framework to Understand the Emergence of Online Groups
- Role:
- PI
- Funding Source:
- National Science Foundation
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2018EAGER: Social Dynamics of Organizational Behavior in Temporary Virtual Teams
- Role:
- PI
- Funding Source:
- National Science Foundation
- Boulder, Colorado, U.S.
- Website
- @bkeegan
- Article Feed
- ORCID
- Joined
