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[[File:Cdsc spr19 norm2.jpg|500px|thumb|right|[[People|CDSC members]] plus affiliates and guests at UW April 2019. From left: From left to right the people in the picture are: Jeremy, Nate, Charlie, Kaylea, Sejal, Jonathan, Emilia, Mako, Morten, Jim, Isaac, Salt, Abel, and Sayamindu.]]
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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[[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]]!]]
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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].


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.


== Workshops and Courses ==
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]].


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.
== Courses ==


=== Public Data Science 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 === -->


'''[[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.
=== Purdue Courses ===


<gallery mode="packed-overlay" heights="100px">
* '''[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.
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_34.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_14.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_19.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_36.jpg
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=== University of Washington Courses ===
* '''[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.


* '''[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].
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* '''[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]].


=== Northwestern Courses & Workshop ===
* '''[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]].
-->


* '''[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]].
=== University of Washington Courses ===


* '''[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]]
<!---
* '''[[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.
--->


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


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.
== Public Data Science Workshops ==
{{banner}}


== Research News ==
'''[[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.


Follow us as [https://twitter.com/comdatasci @comdatasci on Twitter] and subscribe to the [https://blog.communitydata.cc/ Community Data Science Collective blog].
<gallery mode="packed-overlay" heights="100px">
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_34.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_14.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_19.jpg
Community_Data_Science_Workshops_(Spring_2015)_at_University_of_Washington_36.jpg
</gallery>


Recent posts from the blog include:
== Research Resources ==


<rss max=4 date="Y-m-d">https://blog.communitydata.science/feed/atom/</rss>
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==
== About This Wiki==
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* 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.  
* 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><nowiki></nowiki> tags like this: <nowiki><math>\frac{\sigma}{\sqrt{n}}</math></nowiki>
* [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>.
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<h3>Research News</h3>
 
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].
 
Recent posts from the blog include:
 
<rss max=5 date="Y-m-d">https://blog.communitydata.science/feed/atom/</rss>
 
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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