Community Data Science Collective: Difference between revisions

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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].
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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.
 
The group is led by [http://mako.cc/academic/ Benjamin Mako Hill] and [http://aaronshaw.org/ Aaron Shaw].
 
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Latest revision as of 18:37, 22 January 2017

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