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Revision as of 21:34, 4 June 2017 by Sneha (talk | contribs) (Public Data Science Wrokshops Workshops)
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CDSC members at Pok Pok in March 2017. Clockwise from top left: Sneha, Mako, Aaron, Emilia, Nate, Jeremy, Sayamindu, Salt.


The Community Data Science Collective is an interdisciplinary research group made of up of faculty and students at the University of Washington Department of Communication and the Northwestern University Department of Communication Studies.

We are social 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 shape 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, most frequently consists of “big data” quantitative analyses, and lies at the intersection of communication, sociology, and human-computer interaction.

Workshops and Courses

In addition to research, we run workshops and teach classes. Some of that work is coordinated on this wiki. A more detailed lists of workshops and teaching material on this wikis is on our Workshops and Classes page. In this page, we only list ongoing classes and workshops.

Public Data Science Workshops

Community Data Science Workshops — The Community Data Science Workshops (CDSW) are a series of workshops designed to introduce some of the basic tools of programming and analysis of data from online communities to absolute beginners. The CDSW have been held roughtly twice a year since times in Seattle in 2014. So far, more than 100 people have volunteered their weekends to teach more than 500 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.

University of Washington Courses

Northwestern Courses & Workshop

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.

Recent Research Blog Posts

The Community Data Science Collective Dataverse
I’m pleased to announce the Community Data Science Collective Dataverse. Our dataverse is an archival repository for datasets created by the Community Data Science Collective. The dataverse won’t replace work that collective members have been doing for years to document and distribute data from our research. What we hope it will do is get our … Continue reading "The Community Data Science Collective Dataverse"
— Benjamin Mako Hill http://mako.cc 2017-06-18
Adventures in onboarding new users on Wikipedia
I recently finished a paper that presents a novel social computing system called the Wikipedia Adventure. The system was a gamified tutorial for new Wikipedia editors. Working with the tutorial creators, we conducted both a survey of its users and a randomized field experiment testing its effectiveness in encouraging subsequent contributions. We found that although … Continue reading "Adventures in onboarding new users on Wikipedia"
— Sneha Narayan http://snehanarayan.com/ 2017-06-09
Community Data Science Collective at ICA 2017
A good chunk of the collective is heading to San Diego this week for the 2017 international communication association conference. Here is a list of our ICA presentations, with links to the conference program which includes abstracts and other details: Fri, May 26, 11:00 to 12:15, Hilton San Diego Bayfront, 4, Sapphire 410A: Learning to … Continue reading "Community Data Science Collective at ICA 2017"
— groceryheist 2017-05-22
Roundup: Community Data Science Collective at CHI 2017
The Community Data Science Collective had an excellent week showing off our stuff at CHI 2017 in Denver last week. The collective presented three papers. If you didn’t make it Denver, or if just missed our presentations, blog post summaries of the papers — plus the papers themselves — are all online: Starting Online Communities: … Continue reading "Roundup: Community Data Science Collective at CHI 2017"
— Benjamin Mako Hill http://mako.cc 2017-05-22


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 the 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 <nowiki> tags like this: <math>\frac{\sigma}{\sqrt{n}}</math>