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* '''[Spring 2015]''' '''[[Community Data Science Course (Spring 2015)|COM597: Communication Leadership Class]]''' ''(COM597 "Programming and Data Science for Social Media")'' — A semester long course taughted by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] 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] | * '''[Spring 2015]''' '''[[Community Data Science Course (Spring 2015)|COM597: Communication Leadership Class]]''' ''(COM597 "Programming and Data Science for Social Media")'' — A semester long course taughted by [[User:Benjamin Mako Hill|Benjamin Mako Hill]] 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 == | |||
* '''[[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 == | == Research Resources == | ||
Revision as of 00:18, 26 January 2016
Welcome to the wiki for the Community Data Science Collective. It 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.
Public 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 four times in Seattle in 2014 and 2015. So far, more than 80 people have volunteered their weekends to teach more than 350 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.
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University of Washington Courses
- [Fall 2015] COM482: Interpersonal Media: Online Communities — A semester long course on online communities and computer mediated communication taught by Benjamin Mako Hill.
- [Spring 2015] COM597: Communication Leadership Class (COM597 "Programming and Data Science for Social Media") — A semester long course taughted by Benjamin Mako Hill that adapts and builds upon the CDSW curriculum to teach introductory programming and data science to absolute beginners in the context of the University of Washington's Communication Leadership program
Northwestern Courses & Workshop
- Bring Your Own Research Workshop (BYOR) — A research workshop for CDSC affiliates and fellow travelers at Northwestern convened by Aaron Shaw. Participants present work and provide peer feedback/accountability in weekly meetings. Most members of the group are affiliates of the Media, Technology & Society and Technology & Social Behavior programs at Northwestern and study online communities, collective action, organizations, collaboration, and related topics.
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.
License
Unless otherwise noted, everything on this wiki is freely available under the Creative Commons Attribution Share-Alike License so you should feel encouraged to build on and expand this content.
