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[[File:CDSC group photo-20200523-fun.png|500px|thumb|right|[[People|CDSC members]] at the CDSC group retreat in May 2020 ([[:wikipedia:COVID-19 pandemic|pandemic virtual edition]]). Left to right by row, starting at top: Tommy, Emilia, Jeremy, Sejal, Stef, Aaron, Carl, Charlie (w/ cat), Regina, Kaylea, Floor, Nate, Gabrielle, Nick, Salt, Mako.]]
[[File:CDSC group photo-20200826-fun.png|500px|thumb|right|[[People|CDSC members]] at the CDSC group retreat in August 2020 ([[:wikipedia:COVID-19 pandemic|pandemic virtual edition]]). Left to right by row, starting at top: Charlie, Mako, Aaron, Carl, Floor, Gabrielle, Stef, Kaylea, Tiwalade, Nate, Sayamindu, Regina, Jeremy, Salt, and Sejal.]]


The '''Community Data Science Collective''' is an interdisciplinary research group made of up of faculty and students at the [http://www.com.washington.edu/ University of Washington Department of Communication], the [http://www.communication.northwestern.edu/departments/communicationstudies/ Northwestern University Department of Communication Studies], the [https://sils.unc.edu/ University of North Carolina School of Information and Library Science], the [https://www.carleton.edu/computer-science/ Carleton College Computer Science Department], and the [https://www.cla.purdue.edu/academic/communication/ Purdue University School of Communication].
The '''Community Data Science Collective''' is an interdisciplinary research group made of up of faculty and students at the [http://www.com.washington.edu/ University of Washington Department of Communication], the [http://www.communication.northwestern.edu/departments/communicationstudies/ Northwestern University Department of Communication Studies], the [https://sils.unc.edu/ University of North Carolina School of Information and Library Science], the [https://www.carleton.edu/computer-science/ Carleton College Computer Science Department], and the [https://www.cla.purdue.edu/academic/communication/ Purdue University School of Communication].

Revision as of 22:17, 26 August 2020


CDSC members at the CDSC group retreat in August 2020 (pandemic virtual edition). Left to right by row, starting at top: Charlie, Mako, Aaron, Carl, Floor, Gabrielle, Stef, Kaylea, Tiwalade, Nate, Sayamindu, Regina, Jeremy, Salt, and Sejal.

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, the Northwestern University Department of Communication Studies, the University of North Carolina School of Information and Library Science, the Carleton College Computer Science Department, and the Purdue University School of Communication.

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 wikis is on our Workshops and Classes page. In this page, we only list ongoing classes and workshops.

University of Washington Courses

Northwestern Courses

  • [Winter 2020] History and Theory of Information — We live in an information age, with computers of unprecedented power in our pockets. This course seeks to understand how information shapes our lives today, and how it has in the past. It does so via an interdisciplinary inquiry into four technological infrastructures of information and communication—print, wires, airwaves, and bits. Co-taught by Aaron Shaw and Daniel Immerwahr.


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 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.

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.

Research News

Follow us as @comdatasci on Twitter and subscribe to the Community Data Science Collective blog.

Recent posts from the blog include:

FOSSY 2024 Wrap Up: Sophia Vargas on “A review of valuation models and their application to open source models”
In the seventh talk of the Science of Community track we organized for FOSSY, Google FOSS researcher Sophia Vargas offered an overview of different strategies for measuring the value of open source (particularly in the context of a company thinking about how to engage with FOSS). Some of Sophia’s key insights are: models for measuring …
— kaylea 2024-10-15
Check Out the PhD Q&A Session!
Missed the prospective student Q&A session? Fear not, you can still hear from our faculty members, see a few examples of current students research, and listen to answers for our prospective student audience. You can find more resources about the Community Data Science Collective below: Still have questions for our group? Check out our people …
— madisondeyo 2024-10-23
FOSSY 2024 Wrap Up: Darius Kazemi on “Community governance models on small-to-mid-size Mastodon servers
In the sixth talk of the Science of Community track we organized for FOSSY, independent FOSS researcher Darius Kazemi described the results of an interview study to learn from the moderation teams of decentralized social network servers. One of Darius’ key observations is the extensive compliance and legally-required work that running such a server requires. …
— kaylea 2024-10-14
FOSSY 2024 Wrap Up: Bogdan Vasilescu on “Navigating Dependency Abandonment”
In the final talk of the Science of Community track we organized for FOSSY, Computer Science professor and FOSS researcher Dr. Bogdan Vasilescu described his team’s work to understand how developers think about abandoned dependencies. One of the key insights from this work is that abandonment of dependencies is quite common, but that updating a …
— kaylea 2024-10-21

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>