Brian C. Keegan

Social, data, network, and information scientist.

Photo of Brian C. Keegan

INFO 203

1045 18th St.

Boulder, Colorado, USA 80309

I am a computational social scientist, an associate professor in the Department of Information Science at the University of Colorado Boulder, and director of the University of Colorado Public Interest Data Science Lab (CUPIDS Lab). I hold courtesy appointments in the Department of Computer Science and am an affiliate of the ATLAS Institute, Institute for Behavioral Research, American Politics Research Lab, and REACH.

My research and teaching is in the areas of social computing, network science, and data science and has three primary foci: (1) high-tempo online collaborations, (2) governing information commons, and (3) public interest data science. I use digital traces of social behavior to explore how disruptions illuminate the emergence, stabilization, and dissolution of collaborative social structures. The primary empirical settings for this research have been online social platforms like Wikipedia, Reddit, and Twitter that provide rich and open data about social behavior during disruptive events involving current events, controversies, and collective attention. I draw on theories from organizational studies and computer-mediated communication and use quantitative methods from network science, text analysis, and machine learning to make and interpret empirical claims. Learn more about my research and personal projects and our lab.

My research has been published in top venues like ACM Computer Supported Cooperative Work and Social Computing (CSCW) and Computer-Human Interaction (CHI), AAAI International Conference on Web and Social Media (ICWSM), and PLoS ONE and won Best Paper and Honorable Mention recognition. My research and writing have also been mentioned or featured by publications including The Atlantic, The New Republic, Slate, Fast Company, and FiveThirtyEight. This research into behavioral disruptions around software patches, genealogical relationships in online communities, user migrations has been funded by the National Science Foundation. I have also collaborated with Steep Hill Labs, Leafly, and Colvin Run Networks.

I am also active in local politics in Boulder. I have served on the Cannabis Licensing and Advisory Board since 2020, the city’s Emerging Technology Taskforce since 2026, and a board member of Boulder Progressives since 2022. I am a regular opinion columnist for the Boulder Reporting Lab with other contributions in the Daily Camera and Boulder Weekly. Read more about my civic data analysis and op-eds.

Before joining CU Boulder, I was a research associate and data scientist at the Harvard Business School Online initiative (2014–2016) and a post-doctoral research fellow with Professor David Lazer at Northeastern University (2012–2014). I received my Ph.D. in Media, Technology, and Society from Northwestern University’s School of Communication in 2012 where I was co-advised by Professors Noshir Contractor and Darren Gergle. I received S.B. degrees in Mechanical Engineering and Science, Technology, and Society from the Massachusetts Institute of Technology in 2006. I was born in southern Oregon and grew up in Henderson, Nevada, a suburb of Las Vegas. I am married and have two sons.

Note: I am not accepting Ph.D. students for Fall 2027 admission.

The least bad way to contact me is by email or on Mastodon or Bluesky.

news

Oct 2026 I wrote an op-ed in Boulder Reporting Lab that asks readers to try to close the city’s $6.3 million budget gap.
Sep 2026 I wrote an op-ed in Boulder Reporting Lab about how Boulder’s school closures were decades in the making.
May 2026 I wrote an op-ed in Boulder Reporting Lab about how Boulder’s tipped wage debate rests on a myth about what restaurant workers earn.

selected publications

  1. "This Place Does What It Was Built For": Designing Digital Institutions for Participatory Change
    Frey, Seth, Krafft, P. M., and Keegan, Brian C.
    Proceedings of ACM Human-Computer Interaction Nov 2019
  2. The Pushshift Reddit Dataset
    Baumgartner, Jason, Zannettou, Savvas,  Keegan, Brian C., Squire, Megan, and Blackburn, Jeremy
    Proceedings of the International AAAI Conference on Web and Social Media May 2020
  3. An encyclopedia with breaking news
    Keegan, Brian C.
    May 2020
  4. The Phytochemical Diversity of Commercial Cannabis in the United States
    Smith, Christiana J., Vergara, Daniela,  Keegan, Brian C., and Jikomes, Nick
    PLOS ONE May 2022
  5. Community Archetypes: An Empirical Framework for Guiding Research Methodologies to Reflect User Experiences of Sense of Virtual Community
    Prinster, Gale H., Smith, C. Estelle, Tan, Chenhao, and Keegan, Brian C.
    Proceedings of the ACM on Human-Computer Interaction Nov 2024