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[[File:CDSC at Pok Pok (2017-03).jpg|250px|thumb|right|[[People|CDSC members]] at Pok Pok in March 2017. Clockwise from top left: Sneha, Mako, Aaron, Emilia, Nate, Jeremy, Sayamindu, Salt.]]
[[File:Crazy 2.png|500px|thumb|right|[[People|CDSC members]] plus affiliates and guests at Northwestern University September 2019. Back row, from left to right: Aaron, Nate, Jeremy, Mako, Jim, Charlie, Regina, Salt. Front row, f.l.t.r.: Sohyeon, Kaylea, Nick, Sejal, Floor, Jackie.]]
 


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] and the [http://www.communication.northwestern.edu/departments/communicationstudies/ Northwestern University Department of Communication Studies].
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] and the [http://www.communication.northwestern.edu/departments/communicationstudies/ Northwestern University Department of Communication Studies].
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=== University of Washington Courses ===
=== University of Washington Courses ===


* '''[Fall 2017]''' '''[[HCDS (Fall 2017)|DATA512: Human Centered Data Science]]''' — Fundamental principles of data science and its human implications. Data ethics; data privacy; differential privacy; algorithmic bias; legal frameworks and intellectual property; provenance and reproducibility; data curation and preservation; user experience design and usability testing for big data; ethics of crowdwork; data communication; and societal impacts of data science.
* '''[Fall 2019]''' '''[[Human_Centered_Data_Science_(Fall_2019)|DATA512: Human Centered Data Science]]''' — A core course in the [https://www.datasciencemasters.uw.edu/ UW professional Master of Science in Data Science] program covering a range of ethical and practical considerations in the practice of data science research and the design of algorithmically-driven applications taught by [[User:Jtmorgan|Jonathan T. Morgan]].  


* '''[Fall 2017]''' '''[[Innovation Communities (Spring 2017)|COM597: Innovation Communities]]''' — A [http://http://commlead.washington.edu/ UW Communication Leadership’s] elective in the “Masters in Communication in Communities and Networks” program covering using online communities to harness user innovation taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]].
* '''[Spring 2019]''' '''[[Community Data Science Course (Spring 2019) |COMMLD520B: Community Data Science: Programming and Data Science for Social Media]]''' — A quarter long course taught by [[User:Guyrt|Tommy Guy]] that adapts and builds upon the [[CDSW]] curriculum to teach introductory programming and data science to absolute beginners in the context of the [http://commlead.uw.edu/ University of Washington's Communication Leadership program].


=== Northwestern Courses & Workshop ===
=== Northwestern Courses & Workshop ===


* '''[Spring 2019]''' '''[[Statistics and Statistical Programming (Spring 2019)| MTS 525: Statistics and Statistical Programming]]''' — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by [[User:Aaronshaw|Aaron Shaw]].
* '''[Spring 2019]''' '''[[Practice_of_scholarship_(Spring_2019)| MTS 503: The Practice of Scholarship]]''' — A workshop-style course dedicated to the submission of an original (lead or sole authored) piece of academic research for publication by the end of the quarter. The course and assignments require weekly writing and feedback from all participants (required of all second year Ph.D. students in the [https://mts.northwestern.edu MTS] and [https://tsb.northwestern.edu TSB] Ph.D. programs). Taught by [[User:Aaronshaw|Aaron Shaw]]
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* '''[[BYOR|Bring Your Own Research Workshop (BYOR)]]''' — A research workshop for CDSC affiliates and fellow travelers at Northwestern convened by [[User:Aaronshaw|Aaron Shaw]]. Participants present work and provide peer feedback/accountability in weekly meetings. Most members of the group are affiliates of the [http://mts.northwestern.edu Media, Technology & Society] and [http://tsb.northwestern.edu Technology & Social Behavior] programs at Northwestern and study online communities, collective action, organizations, collaboration, and related topics.
* '''[[BYOR|Bring Your Own Research Workshop (BYOR)]]''' — A research workshop for CDSC affiliates and fellow travelers at Northwestern convened by [[User:Aaronshaw|Aaron Shaw]]. Participants present work and provide peer feedback/accountability in weekly meetings. Most members of the group are affiliates of the [http://mts.northwestern.edu Media, Technology & Society] and [http://tsb.northwestern.edu Technology & Social Behavior] programs at Northwestern and study online communities, collective action, organizations, collaboration, and related topics.
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== Research Resources ==
== Research Resources ==
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Recent posts from the blog include:
Recent posts from the blog include:


<rss max=4 date="Y-m-d">https://blog.communitydata.cc/feed/atom/</rss>
<rss max=4 date="Y-m-d">https://blog.communitydata.science/feed/atom/</rss>


== About This Wiki==
== About This Wiki==

Revision as of 18:47, 1 October 2019


CDSC members plus affiliates and guests at Northwestern University September 2019. Back row, from left to right: Aaron, Nate, Jeremy, Mako, Jim, Charlie, Regina, Salt. Front row, f.l.t.r.: Sohyeon, Kaylea, Nick, Sejal, Floor, Jackie.

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 roughly twice a year since beginning 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

  • [Spring 2019] MTS 525: Statistics and Statistical Programming — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by Aaron Shaw.
  • [Spring 2019] MTS 503: The Practice of Scholarship — A workshop-style course dedicated to the submission of an original (lead or sole authored) piece of academic research for publication by the end of the quarter. The course and assignments require weekly writing and feedback from all participants (required of all second year Ph.D. students in the MTS and TSB Ph.D. programs). Taught by Aaron Shaw

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:

Replication data release for examining how rules and rule-making across Wikipedias evolve over time
While Wikipedia is famous for its encyclopedic content, it may be surprising to realize that a whole other set of pages on Wikipedia help guide and govern the creation of the peer-produced encyclopedia. These pages extensively describe processes, rules, principles, and technical features of creating, coordinating, and organizing on Wikipedia. Because of the success of …
— sohw 2024-03-25
Sources of Underproduction in Open Source Software
Although the world relies on free/libre open source software (FLOSS) for essential digital infrastructure such as the web and cloud, the software that supports that infrastructure are not always as high quality as we might hope, given our level of reliance on them. How can we find this misalignment of quality and importance (or underproduction) …
— kaylea 2024-01-23
FLOSS project risk and community formality
...operating less formally and sharing power is associated with lower risk...
— mgaughan 2024-01-22
A new paper on the risk of nationalist governance capture in self-governed Wikipedia projects
Wikipedia is one of the most visited websites in the world and the largest online repository of human knowledge. It is also both a target of and a defense against misinformation, disinformation, and other forms of online information manipulation. Importantly, its 300 language editions are self-governed—i.e., they set most of their rules and policies. Our new …
— zarine 2024-01-15

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>