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

CDSC members at the CDSC group retreat in October 2022 in Seattle. In a spiral starting from the top: Mako, Carl, Jeremy, Nick, Salt, Hazel, Yibin, Regina, Kaylea, Ellie, Aaron, Floor, Sohyeon, Molly, Emilia, Ryan, Charlie, Dyuti. Check out our other group photos!

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.

Courses

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

Purdue Courses

• [Summer 2023] Advanced Computational Communication Methods – In this class, we will investigate a number of more advanced methods or concepts not covered in the Intro to Programming and Data Science course, including SQL, computational text analysis, creating reproducible projects, and advanced visualization.

• [Spring 2023] Quantitative Methods for Communication – This course introduces students to a range of social-scientific research methods used to investigate human communication, with a focus on research design, statistics, and statistical software. Taught by Jeremy Foote and Hazel Chiu.

University of Washington Courses

• [Spring 2023] COM597A/COMMLD570B: Community Data Science: Programming, Data Collection, and Data Science for Social Media — A quarter long course taught by Benjamin Mako Hill and Kaylea Champion that adapts and builds upon the CDSW curriculum to teach introductory programming, data collection, and basic data science tools to absolute beginners. The course is being offered jointly between the University of Washington Department of Communication's MA/PhD program and the Communication Leadership program.

• [Winter 2023] COM 481: Online Communities — A course on online communities taught by Kaylea Champion.

Public Data Science Workshops

Click here for details and to sign up for announcements about upcoming Community Data Science Workshops in Seattle.

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 six times in Seattle between 2014 and 2020. 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.

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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 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 <math> tags like this: <math>\frac{\sigma}{\sqrt{n}}</math> and it will write ${\frac {\sigma }{\sqrt {n}}}$.

Research News

Follow us as @comdatasci on Twitter and @communitydata@social.coop in the Fediverse/Mastodon and subscribe to the Community Data Science Collective blog.

Recent posts from the blog include:

Community Data Science Collective at ICA 2023

The International Communication Association (ICA)’s 73nd annual conference is coming up soon. This year, the conference takes place in Toronto, Canada, and a subset of our collective is showing up to present work in person. We are looking forward to meeting up, talking about research, and hanging out together! ICA takes place from Wednesday, May …

Continue reading "Community Data Science Collective at ICA 2023"

— yibin 2023-05-25

Community Dialogue on Digital Inequalities

Join the Community Data Science Collective (CDSC) for our 5th Science of Community Dialogue! This Community Dialogue will take place on May 19 at 10:00 am PDT (18:00 UTC). This Dialogue focuses on digital inequalities and online community participation. Professor Hernan Galperin (University of Southern California) will join Floor Fiers (Northwestern University) to present recent …

Continue reading "Community Dialogue on Digital Inequalities"

— mollydb 2023-05-12

CDSC @ FOSSY: Call for Proposals

Help us build a dynamic and exciting program to facilitate conversations between free and open source software (FOSS) researchers and practitioners! Submit a session proposal for FOSSY! The deadline for submissions is May 14 May 18 (Edit: The deadline has been moved.). Although scholars publish hundreds of papers about free and open source software, online …

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— mollydb 2023-05-09

Kaylea to present at ‘Women in Data Science’ Conference

Women in Data Science Puget Sound is part of a 50+-country conference series founded and organized in cooperation with Stanford University’s Data Science coalition. Anyone may attend, regardless of gender: events feature a speaker lineup composed of women in data science. The Puget Sound event is Tuesday, April 25 at the Expedia HQ in Seattle, …

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— kaylea 2023-04-18

Excavating online futures past

The International Journal of Communication (IJOC) has just published my review of Kevin Driscoll’s The Modem World: A Prehistory of Social Media (Yale UP, 2022). In The Modem World, Driscoll provides an engaging social history of Bulletin Board Systems (BBSes), an early, dial-up precursor to social media that predated the World Wide Web. You might …

Continue reading "Excavating online futures past"

— Aaron Shaw http://aaronshaw.org 2023-04-18