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(Created page with "== About the Community Data Science Collective == === What is the CDSC? === 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-scienc...")
 
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== About the Community Data Science Collective ==
The Community Data Science Collective is a research collective based in the [http://www.com.washington.edu/ Department of Communication at the University of Washington], the [http://www.communication.northwestern.edu/departments/communicationstudies/ Department of Communication Studies at Northwestern University], the [https://www.cla.purdue.edu/academic/communication/ Brian Lamb School of Communication at Purdue University], the [https://www.carleton.edu/computer-science/ the Computer Science Department at Carleton College], and the School of Information and Library Sciences at the University of North Carolina at Chapel Hill.


=== What is the CDSC? ===
We are social scientists applying a range of quantitative and qualitative methods to the study of online spaces, participation, and interaction. We investigate how communities function, how collaborative production (like Wikipedia and Linux), and how inequalities emerge within online participation.


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].
Our research frequently consists of “big data” quantitative analyses, and lies at the intersection of communication, sociology, and human-computer interaction - but also includes qualitative analyses such as interview 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 frequently consists of “big data” quantitative analyses, and lies at the intersection of communication, sociology, and human-computer interaction.


=== What makes the CDSC unique? ===
=== What makes the CDSC unique? ===


Built around the work of a few of our core faculty members (see Mako, Aaron, and Jeremy's pages), our group opperates with the same values of openness and collective peer-production as the communities we study. This means we welcome anyone to join and participate in our group in whatever ways work best for them. As a result, the CDSC functions not only as a (somewhat dispersed) research lab but also as a collective of researchers and practitioners interested in peer production, online communities, and data science scholarship.  
Built around the work of a few of our core faculty members (see Mako, Aaron, and Jeremy's info on [[People]]), our group operates with the same values of openness and collective peer-production as the communities we study. This means we welcome anyone to join and participate in our group in whatever ways work best for them. As a result, the CDSC functions not only as a (somewhat dispersed) research lab but also as a collective of researchers and practitioners interested in peer production, online communities, and data science scholarship.


=== Who is the CDSC for? How can you be involved? ===  
=== Who is the CDSC for? How can you be involved? ===  


There are a number of ways to be involved!  
There are a number of ways to be involved!  
* If you're just interested in learning more or keeping up with our work, consider joining our IRC channel, following our blog or out social media, or attending a workshop.
* If you're just interested in learning more or keeping up with our work, consider joining our IRC channel ([[CommunityData:IRC]]), following our blog or our social media, or [https://wiki.communitydata.science/CommunityData:Workshop_and_Soft_Block attending a workshop].
* If you're a prospective graduate student interested in joining one of our departments, consider attending one of our meetings or reaching out to one of our faculty or core student members.
* If you're a prospective graduate student interested in joining one of our departments, consider [https://wiki.communitydata.science/People reaching out to one of our faculty or core student members], perhaps to [https://wiki.communitydata.science/Schedule attend one of our meetings].
* If you're a community member or outside scholar, consider attending one of our meetings, reaching out to one of our faculty members, signing up for an email channel, or consider selecting a "community member" role from our roles page.  
* If you're a community member or outside scholar, consider [https://wiki.communitydata.science/Schedule attending one of our meetings], [https://wiki.communitydata.science/People#Facultyreaching out to one of our faculty members], [https://wiki.communitydata.science/CommunityData:Email signing up for an email channel], or consider selecting a "community member" role from our [https://wiki.communitydata.science/CommunityData:Roles roles page].  
* If you're ready to regularly be part of the collective, visit our roles page, select a participation role that works for you, and be a part of our work!  
* If you're ready to regularly be part of the collective, visit our roles page, select a participation role that works for you, and be a part of our work!


=== Important Links ===
=== Important Links ===


* [[Projects]]  
* [[Projects]]  
* [[People]]
* [[People]] (and [https://wiki.communitydata.science/CommunityData:Roles Roles])
* [[Blog]]
* [https://blog.communitydata.science/ Blog]
* [[Resources]]
* [https://wiki.communitydata.science/CommunityData:Resources Resources] (which will primarily be of use to current CDSC members)

Revision as of 21:22, 3 April 2023

The Community Data Science Collective is a research collective based in the Department of Communication at the University of Washington, the Department of Communication Studies at Northwestern University, the Brian Lamb School of Communication at Purdue University, the the Computer Science Department at Carleton College, and the School of Information and Library Sciences at the University of North Carolina at Chapel Hill.

We are social scientists applying a range of quantitative and qualitative methods to the study of online spaces, participation, and interaction. We investigate how communities function, how collaborative production (like Wikipedia and Linux), and how inequalities emerge within online participation.

Our research frequently consists of “big data” quantitative analyses, and lies at the intersection of communication, sociology, and human-computer interaction - but also includes qualitative analyses such as interview studies.

What makes the CDSC unique?

Built around the work of a few of our core faculty members (see Mako, Aaron, and Jeremy's info on People), our group operates with the same values of openness and collective peer-production as the communities we study. This means we welcome anyone to join and participate in our group in whatever ways work best for them. As a result, the CDSC functions not only as a (somewhat dispersed) research lab but also as a collective of researchers and practitioners interested in peer production, online communities, and data science scholarship.

Who is the CDSC for? How can you be involved?

There are a number of ways to be involved!

Important Links