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The Community Data Science Collective (CDSC) is an interdisciplinary research group made up of faculty and students at the University of Washington Department of Communication (Seattle), the Northwestern University Department of Communication Studies, the School of Information at UT Austin, the Brian Lamb School of Communication at Purdue University, the University of Idaho Department of Psychology and Communication, and the University of Washington Department of Computing and Software Systems (Bothell).

CDSC members at the CDSC group retreat in September 2026 in Austin. Check out our other group photos!

We are social scientists and computer scientists applying a range of quantitative and qualitative methods to the study of online communities. We seek to understand both how and why some attempts at collaborative production — like Wikipedia and Linux — build large volunteer communities and high-quality work products.

Our research is particularly focused on how the design of communication and information technologies shapes fundamental social outcomes with broad theoretical and practical implications — like an individual’s decision to join a community, contribute to a public good, or a group’s ability to make decisions democratically.

Our research is deeply interdisciplinary. It most frequently consists of “big data” quantitative analyses, but also includes qualitative analyses such as interview studies. Our work lies at the intersection of communication, sociology, human-computer interaction, information science, and computer science.

To learn more about the CDSC, please check out our about page (especially the links there). Prospective students should also review these materials.

Outreach

Our group is committed to public scholarship. We express this commitment through a series of events and publications directed at practitioner audiences and focused on translating our publications for nonacademic audiences.

  • Community Data Science Blog — A blog that we update regularly with summaries of our papers, reflections on research and online communities, and whatever else is on our minds!
  • Science of Community Dialogues — A series of events that bring together community leaders, organizers, and researchers to share evidence-based strategies for thriving communities.
  • Research briefs — Short, accessible summaries of our research written for community leaders, practitioners, and policy makers.

Courses

In addition to research, we teach classes and run workshops. Some of that work is coordinated on this wiki. A more detailed list of workshops and teaching material on this wiki is on our Workshops and Classes page. On this page, we only list ongoing classes and workshops with their own wiki pages or syllabi.

University of Washington | Seattle Courses

  • [Fall 2026] COM 500: Communication Theory Development — This is a required introductory course for new students in the MA/PhD program at UW. It provides a sort of introduction to field/discipline of communication, communication theory, and the department in particular. In 2026 it is taught to incoming Communication MA/PhD students alongside students from Human Centered Design & Engineering (HCDE).

University of Washington | Bothell Courses

Research Resources

If you are a member of the collective, perhaps you're looking for CommunityData:Resources, which includes details on email, TeX templates, documentation on our computing resources, etc.

About This Wiki

This is open to the public and hackable by all but mostly contains information that will be useful to collective members, their collaborators, people enrolled in their projects, or people interested in building off of their work. If you're interested in making a change or creating content here, generally feel empowered to Be Bold. If things don't fit, somebody who watches this wiki will be in touch.

This is mostly a normal MediaWiki although there are a few things to know:

  • There's a CAPTCHA enabled. If you create an account and then contact any collective member with your username (on or off wiki), they can turn the CAPTCHA off for you.
  • Extension:Math is installed so you can write math here. Basically you just add math by putting TeX inside <math> tags like this: <math>\frac{\sigma}{\sqrt{n}}</math> and it will write σn.

Follow Us!

Research News

Recent posts from the blog:

CDSC at CSCW 2026: Rules, Knowledge Gaps, and AI in Open Source
The Community Data Science Collective is heading to CSCW 2026 in Salt Lake City, Utah, October 10–14. Mako Hill, Kaylea Champion, Nate TeBlunthuis, and Yiwei Wu will be there. We hope you’ll join us at any of the sessions below. Tuesday, October 13, 2:30 pm (Skylight Ballroom, Crowdsourcing & Peer Production) Nate TeBlunthuis will present …
— Benjamin Mako Hill http://mako.cc 2026-10-05
We’re hiring! Join the CDSC as a Program Coordinator
— Aaron Shaw http://aaronshaw.org 2026-10-03
Prospective PhD Student Q&A – October 2, 2026
Thinking about applying to graduate school? Wonder what it’s like to pursue a PhD or research-based master’s degree? Interested in understanding relationships between technology and society? Curious about how to do research on online communities like Reddit, Wikipedia, or GNU/Linux? The Community Data Science Collective is hosting a virtual Q&A session on Friday, October 2 …
— Jeremy Foote http://www.jeremydfoote.com 2026-10-03
Community Dialogue: Social Drivers of Online Hate
Toxicity, aggression, racism, misogyny, and other forms of hate are unfortunately common in online spaces. Researchers have often treated those who engage in online hate as social deviants, enabled to act out by the affordances of online anonymity. This Friday, we will host two speakers who will discuss an emerging perspective that sees online hate …
— Jeremy Foote http://www.jeremydfoote.com 2026-10-03
Seeking to Interview People Who Make Software!
Students in the CDSC are recruiting for two interview studies. The AI Slop study seeks to interview people involved in open source software who have experience dealing with AI-authored contributions. We hope to learn more about how communities are responding to this challenge, with a particular focus on ‘AI Slop’. You can read more about …
— kaylea 2026-10-03