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== University of Washington Courses == | == University of Washington Courses == | ||
* '''[Spring 2016]''' '''[[ | * '''[Spring 2016]''' '''[[DS4UX (Spring 2016)|HCDE598: Data Science for User Experience Researchers]]:''' A special topics course in the "Masters in Human Centered Design & Engineering" program covering the use of data science tools and concepts to conduct research with open online data taught by [[User:Jtmorgan|Jonathan Morgan]]. | ||
* '''[Spring 2016]''' '''[[Innovation Communities (Spring 2016)|COM597F: Innovation Communities]]''' — A [http://http://commlead.washington.edu/ UW Communication Leadership’s] elective in the “Masters in Communication in Communities and Networks” program covering using online communities to harness user innovation taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]]. | * '''[Spring 2016]''' '''[[Innovation Communities (Spring 2016)|COM597F: Innovation Communities]]''' — A [http://http://commlead.washington.edu/ UW Communication Leadership’s] elective in the “Masters in Communication in Communities and Networks” program covering using online communities to harness user innovation taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]]. |
Revision as of 21:28, 11 March 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.
University of Washington Courses
- [Spring 2016] HCDE598: Data Science for User Experience Researchers: A special topics course in the "Masters in Human Centered Design & Engineering" program covering the use of data science tools and concepts to conduct research with open online data taught by Jonathan Morgan.
- [Spring 2016] COM597F: Innovation Communities — A UW Communication Leadership’s elective in the “Masters in Communication in Communities and Networks” program covering using online communities to harness user innovation taught by Benjamin Mako Hill.
- [Spring 2016] COM528: Internet Research Methods — A MA/PhD class offering a survey of several Internet research methods taught by Benjamin Mako Hill.
- [Fall 2015] COM482: Interpersonal Media: Online Communities — A 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.