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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, Sohyeon, Aaron, Carl, Charlie (w/ cat), Regina, Kaylea, Floor, Nate, Gabrielle, Nick, Salt, Mako.]]
The '''Community Data Science Collective''' is an interdisciplinary research group made 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://www.carleton.edu/computer-science/ Carleton College Computer Science Department], and the [https://www.cla.purdue.edu/academic/communication/ Purdue University School of Communication].
 
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<div class="col-md-9">
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[[File:CDSC_group_photo-20230923-fun.jpg|thumb|1741px|[[People|CDSC members]] at the CDSC group retreat in September 2023 in Evanston. Check out our other [[group photos]]!]]
</div>


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].


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.
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.
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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.
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.
To learn more about the CDSC, please check out our [[About|about page]] (especially the links there). Prospective students should also review [[CommunityData:Prospective_students|these materials]].


== Courses ==
== 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.
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.
<!-- === Northwestern Courses === -->


=== University of Washington Courses ===
=== Purdue Courses ===
 
* '''[Summer 2023]''' '''[[Advanced Computational Communication Methods (Summer 2023) | Advanced Computational Communication Methods]]''' &ndash; 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_(Spring_2023) | Quantitative Methods for Communication]]''' &ndash; 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 [[User:Jdfoote|Jeremy Foote]] and Hazel Chiu.
 
<!--
* '''[Fall 2022]''' '''[[Communication and Social Networks (Fall 2022)|Communication and Social Networks (COM 411, Fall 2022)]]''' &ndash; This class focuses on understanding how the structure of relationships between people influence communication patterns and behavior. This perspective can help us to understand a broad set of phenomena, from online communities to friendships to businesses. The course will also introduce students to using network visualizations to gain and share insights about network phenomena. Taught by [[User:Jdfoote|Jeremy Foote]].


* '''[Winter 2020]''' '''[[Interpersonal Media (Winter 2020)|COM482: Interpersonal Media: Online Communities]]''' —  A course on online communities and computer mediated communication with an emphasis on learning from research in social psychology, sociology, and behavioral economics taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]].
* '''[Fall 2022]''' '''[[Intro to Programming and Data Science (Fall 2022)|Intro to Programming and Data Science (COM 674, Fall 2022)]]''' Taught by [[User:Jdfoote|Jeremy Foote]].
* '''[Winter 2020]''' '''[[Internet Research Methods (Winter 2020)|COM528: Internet Research Methods]]''' — A MA/PhD class offering a survey of several Internet research methods taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]].
-->


=== Northwestern Courses ===
=== University of Washington Courses ===


* '''[Winter 2020]''' '''[https://docs.google.com/document/d/11NBkZS3w8Fp5YSHo71TQuykJ1Z6lfqbo1AW5GV2hRGk/edit?usp=sharing 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 [[User:Aaronshaw|Aaron Shaw]] and [https://en.wikipedia.org/wiki/Daniel_Immerwahr Daniel Immerwahr].


<!---
* '''[Spring 2024]''' [[Online Communities (UW COM481 Spring 2024)|COM 481: Online Communities]]''' — A course on online communities taught by [[User:Kaylea|Kaylea Champion]].
* '''[[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.
--->


== Public Data Science Workshops ==
== Public Data Science Workshops ==
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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.
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 ==
== 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 [[:w:WP:BOLD|Be Bold]]. If things don't fit, somebody who watches this wiki will be in touch.


Follow us as [https://twitter.com/comdatasci @comdatasci on Twitter] and subscribe to the [https://blog.communitydata.cc/ Community Data Science Collective blog].
This is mostly a normal [https://www.mediawiki.org/wiki/MediaWiki MediaWiki] although there are a few things to know:


Recent posts from the blog include:
* There's a CAPTCHA enabled. If you create an account and then contact any [[People|collective member]] with the username (on or off wiki), they can turn the CAPTCHA off for you.
* [https://www.mediawiki.org/wiki/Extension:Math Extension:Math] is installed so you can write math here. Basically you just add math by putting TeX inside <nowiki><math></nowiki> tags like this: <nowiki><math>\frac{\sigma}{\sqrt{n}}</math></nowiki> and it will write <math>\frac{\sigma}{\sqrt{n}}</math>.
</div>


<rss max=4 date="Y-m-d">https://blog.communitydata.science/feed/atom/</rss>
<div class="col-md-3" style="font-size: 80%;">
<h3>Research News</h3>


== About This Wiki==
Follow us as [https://twitter.com/comdatasci @comdatasci on Twitter] and [https://social.coop/@communitydata @communitydata@social.coop in the Fediverse/Mastodon] and subscribe to the [https://blog.communitydata.science/ Community Data Science Collective blog].


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 [[:w:WP:BOLD|Be Bold]]. If things don't fit, somebody who watches this wiki will be in touch.
Recent posts from the blog include:


This is mostly a normal [https://www.mediawiki.org/wiki/MediaWiki MediaWiki] although there are a few things to know:
<rss max=5 date="Y-m-d">https://blog.communitydata.science/feed/atom/</rss>


* There's a CAPTCHA enabled. If you create an account and then contact any [[People|collective member]] with the username (on or off wiki), they can turn the CAPTCHA off for you.
</div>
* [https://www.mediawiki.org/wiki/Extension:Math Extension:Math] is installed so you can write math here. Basically you just add math by putting TeX inside <nowiki><nowiki></nowiki> tags like this: <nowiki><math>\frac{\sigma}{\sqrt{n}}</math></nowiki>
</div>

Latest revision as of 23:05, 21 March 2024


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 September 2023 in Evanston. 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.

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

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

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.

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 .

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:

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
New year, new job with us? CDSC is hiring!
— Aaron Shaw http://aaronshaw.org 2024-01-03