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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 '''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 has been held six times in Seattle in Spring and Fall 2014 and Spring 2015. So far, dozens of people have volunteered their weekends to teach hundreds of people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data. Through these workshops we've also collected some [[mentoring]] tips.
The CDSW have been held three times in Seattle in Spring and Fall 2014 and Spring 2015. So far, more than 50 people have volunteered their weekends to teach more than 200 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.


The following links are to the curriculum we used so that others can build on and learn:
The following links are to the curriculum we used so that others can build on and learn:


* [[Community Data Science Workshops (Winter 2020)]] — along with many subpages
* [[Community Data Science Workshops (Spring 2016)]] — ''currently accepting registrations!''
* [[Community Data Science Workshops (Spring 2016)]] — along with many subpages
* [[Community Data Science Workshops (Fall 2015)]] — along with many subpages
* [[Community Data Science Workshops (Fall 2015)]] — along with many subpages
* [[Community Data Science Workshops (Spring 2015)]] - along with many subpages
* [[Community Data Science Workshops (Spring 2015)]] along with many subpages
* [[Community Data Science Workshops (Fall 2014)]] - along with many subpages
* [[Community Data Science Workshops (Fall 2014)]] along with many subpages
* [[Community Data Science Workshops (Spring 2014)]] - along with many subpages
* [[Community Data Science Workshops (Spring 2014)]] along with many subpages


If you would like to be notified about '''upcoming workshop series''', please subscribe to '''[https://mailman1.u.washington.edu/mailman/listinfo/cdsw-announce our announcement email list]'''. The list will get no traffic except for announcements of an upcoming CDSW.
If you would like to be notified about '''upcoming workshop series''', please subscribe to '''[https://mailman1.u.washington.edu/mailman/listinfo/cdsw-announce our announcement email list]'''. The list will get no traffic except for announcements of an upcoming CDSW.
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The workshops are for people with ''no previous programming experience.'' The goal is to bring together both researchers and academics as well as participants and leaders in online communities.  The workshops have all been free of charge and are open to the public.
The workshops are for people with ''no previous programming experience.'' The goal is to bring together both researchers and academics as well as participants and leaders in online communities.  The workshops have all been free of charge and are open to the public.


The sessions are scheduled for one Friday evening and three Saturdays all day. Each session involves a period for lecture and technical demonstrations in the morning. This is followed by lunch. The rest of the day consists of self-directed work on programming and data science projects supported by more experienced mentors.
The sessions are schedule for one Friday evening and three Saturdays all day. Each session involves a period for lecture and technical demonstrations in the morning. This is followed by a lunch. The rest of the day consists of self-directed work on programming and data science projects supported by more experienced mentors.


Our goal is that, after the three workshops, participants will be able to use data to produce numbers, hypothesis tests, tables, and graphical visualizations to answer questions like:
Our goal is that, after the three workshops, participants will be able to use data to produce numbers, hypothesis tests, tables, and graphical visualizations to answer questions like:
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* Are people who participated in a Wikipedia outreach event staying involved? How do they compare to people that joined the project outside of the event?
* Are people who participated in a Wikipedia outreach event staying involved? How do they compare to people that joined the project outside of the event?


Our very first workshops were originally modeled after the [[:openhatch:Boston Python Workshop|Boston Python Workshop]] but most of our curriculum is brand new and has been developed and modified by the mentors and with feedback from the participants.
Our very first workshops was originally modeled after the [[:openhatch:Boston Python Workshop|Boston Python Workshop]] but most our curriculum is brand new and has been developed and modified by the mentors and with feedback from the participants.


== Put on your own CDSW ==  
== Put on your own CDSW ==  
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* [http://mako.cc/copyrighteous/community-data-science-workshops-2 CDSW Spring 2014 post-mortem blog post]
* [http://mako.cc/copyrighteous/community-data-science-workshops-2 CDSW Spring 2014 post-mortem blog post]
* [[Community Data Science Workshops (Spring 2014)/Reflections]] — Notes and reflections from the mentors and organizers
* [[Community Data Science Workshops (Spring 2014)/Reflections]] — Raw notes from the mentors and organizers
* [[Community Data Science Workshops (Fall 2014)/Reflections]] — Notes and reflections from the mentors and organizers
* [[Community Data Science Workshops (Fall 2014)/Reflections]] — Raw notes from the mentors and organizers
* [[Community Data Science Workshops (Fall 2015)/Reflections]] — Notes and reflections from the mentors and organizers


== Organizers and Sponsors ==
== Organizers and Sponsors ==


Curriculum for the workshops has been developed by [http://mako.cc/ Benjamin Mako Hill], Ben Lewis, [http://franceshocutt.com/ Frances Hocutt], [http://jtmorgan.net/ Jonathan Morgan], [http://mika.im Mika Matsuzaki], [https://guyrt.github.io/ Tommy Guy], and Dharma Dailey. The events are only possible with the help of a long list of over 40 volunteer mentors across the two events. The workshops have been designed with lots of help and inspiration from Shauna Gordon-McKeon and Asheesh Laroia of OpenHatch and lots of inspiration from the [[:openhatch:Boston Python Workshop|Boston Python Workshop]].
Curriculum for the workshops have been developed by [http://mako.cc/ Benjamin Mako Hill], Ben Lewis, [http://franceshocutt.com/ Frances Hocutt], [http://jtmorgan.net/ Jonathan Morgan], [http://mika.im Mika Matsuzaki], [https://guyrt.github.io/ Tommy Guy]. The events are only possible with the help of a long list of over 40 volunteer mentors across the two events. The workshops have been designed with lots of help and inspiration from Shauna Gordon-McKeon and Asheesh Laroia of OpenHatch and lots of inspiration from the [[:openhatch:Boston Python Workshop|Boston Python Workshop]].


Our previous workshops have with space and funding by the [http://com.washington.edu University of Washington Department of Communication] and the [http://escience.washington.edu/ eScience Institute].
Our previous workshops have with space and funding by the [http://com.washington.edu University of Washington Department of Communication] and the [http://escience.washington.edu/ eScience Institute].


If you have any questions, contact [[User:Mako|Benjamin Mako Hill]] at makohill@uw.edu.
If you have any questions, contact [[User:Mako|Benjamin Mako Hill]] at makohill@uw.edu.
== Courses ==
We have also taught a series of University courses based on this curriculum. These include:
* '''[Spring 2017]''' '''[[Community Data Science Course (Spring 2017) |COM597I: 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].
* '''[Spring 2016]''' '''[[DS4UX (Spring 2016)|HCDE598: Data Science for User Experience Researchers (DS4UX)]]:''' 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]''' '''[[Community Data Science Course (Spring 2016) |COM597: 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].
* '''[Spring 2015]''' '''[[Community Data Science Course (Spring 2015)|COM597: Programming and Data Science for Social Media]]''' — A quarter-long course taught 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].
== Resources ==
Based on the questions and requests we received from participants we compiled a list of resources available below:
* [[Community Data Science Workshops (Winter 2020)/Resources]]
== Wiki Best Practices ==
In order to make the process of creating future resources easier we compiled a list of best practices for editing the different types of pages on this wiki: [[Community Data Science Workshops (Core)/Wiki Best Practices]]
== Subpages ==
{{Special:PrefixIndex/Community Data Science Workshops|hideredirects=1 |stripprefix=1}}


[[Category:CDSW]]
[[Category:CDSW]]
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