Main Page: Difference between revisions

From CommunityData
m (Reverted edits by NancyBeatham61 (talk) to last revision by Aaronshaw)
Tag: Rollback
(Undo revision 187090 by Dezersyas (talk))
Tag: Undo
(17 intermediate revisions by 12 users not shown)
Line 1: Line 1:
<!-- {{Banner}} -->
{{Banner}}
__NOTOC__
__NOTOC__


[[File:Cdsc spr19 norm2.jpg|500px|thumb|right|[[People|CDSC members]] plus affiliates and guests at UW April 2019. From left: From left to right the people in the picture are: Jeremy, Nate, Charlie, Kaylea, Sejal, Jonathan, Emilia, Mako, Morten, Jim, Isaac, Salt, Abel, and Sayamindu.]]
[[File:Crazy 2.png|500px|thumb|right|[[People|CDSC members]] plus affiliates and guests at Northwestern University September 2019. Back row, from left to right: Aaron, Nate, Jeremy, Mako, Jim, Charlie, Regina, Salt. Front row, f.l.t.r.: Sohyeon, Kaylea, Nick, Sejal, Floor, Jackie.]]


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].
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], the [http://www.communication.northwestern.edu/departments/communicationstudies/ Northwestern University Department of Communication Studies], the [https://sils.unc.edu/ University of North Carolina School of Information and Library Science], 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].


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.
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.
Line 18: Line 18:
=== Public Data Science Workshops ===
=== Public Data Science 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 roughly twice a year since beginning in Seattle in 2014. So far, more than 100 people have volunteered their weekends to teach more than 500 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.
'''[[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 six times in Seattle in 2020. So far, more than 100 people have volunteered their weekends to teach more than 500 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.


<gallery mode="packed-overlay" heights="100px">
<gallery mode="packed-overlay" heights="100px">
Line 29: Line 29:
=== University of Washington Courses ===
=== University of Washington Courses ===


* '''[Spring 2019]''' '''[[Community Data Science Course (Spring 2019) |COMMLD520B: 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].
* '''[Winter 2020]''' '''[[Interpersonal Media (Winter 2020)|COM482: Interpersonal Media: Online Communities]]''' — A course on online communities and computer mediated communication with an emphasis on learning from research in social psychology, sociology, and behavioral economics taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]].


* '''[Winter 2019]''' '''[[Interpersonal Media (Winter 2019)|COM482: Interpersonal Media: Online Communities]]''' — A course on online communities and computer mediated communication with an emphasis on learning from research in social psychology, sociology, and behavioral economics. taught by [[User:Groceryheist|Nate TeBlunthuis]].
* '''[Winter 2020]''' '''[[Internet Research Methods (Winter 2020)|COM528: Internet Research Methods]]''' — A MA/PhD class offering a survey of several Internet research methods taught by [[User:Benjamin Mako Hill|Benjamin Mako Hill]].


=== Northwestern Courses & Workshop ===
=== Northwestern Courses ===


* '''[Spring 2019]''' '''[[Statistics and Statistical Programming (Spring 2019)| MTS 525: Statistics and Statistical Programming]]''' — A quarter-long quantitative methods course that builds a first-quarter introduction to quantitative methodology and that focuses on both the more mathematical elements of statistics as well as the nuts-and-bolts of statistical programming in the GNU R programming language. Taught by [[User:Aaronshaw|Aaron Shaw]].
* '''[Winter 2020]''' '''[https://docs.google.com/document/d/11NBkZS3w8Fp5YSHo71TQuykJ1Z6lfqbo1AW5GV2hRGk/edit?usp=sharing History and Theory of Information]''' — We live in an information age, with computers of unprecedented power in our pockets. This course seeks to understand how information shapes our lives today, and how it has in the past. It does so via an interdisciplinary inquiry into four technological infrastructures of information and communication—print, wires, airwaves, and bits. Co-taught by [[User:Aaronshaw|Aaron Shaw]] and [https://en.wikipedia.org/wiki/Daniel_Immerwahr Daniel Immerwahr].


* '''[Spring 2019]''' '''[[Practice_of_scholarship_(Spring_2019)| MTS 503: The Practice of Scholarship]]''' — A workshop-style course dedicated to the submission of an original (lead or sole authored) piece of academic research for publication by the end of the quarter. The course and assignments require weekly writing and feedback from all participants (required of all second year Ph.D. students in the [https://mts.northwestern.edu MTS] and [https://tsb.northwestern.edu TSB] Ph.D. programs). Taught by [[User:Aaronshaw|Aaron Shaw]]
<!---
<!---
* '''[[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.
* '''[[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.

Revision as of 22:24, 23 January 2020


CDSC members plus affiliates and guests at Northwestern University September 2019. Back row, from left to right: Aaron, Nate, Jeremy, Mako, Jim, Charlie, Regina, Salt. Front row, f.l.t.r.: Sohyeon, Kaylea, Nick, Sejal, Floor, Jackie.

The Community Data Science Collective is an interdisciplinary research group made of up of faculty and students at the University of Washington Department of Communication, the Northwestern University Department of Communication Studies, the University of North Carolina School of Information and Library Science, the Carleton College Computer Science Department, and the Purdue University School of Communication.

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.

Workshops and Courses

In addition to research, we run workshops and teach classes. Some of that work is coordinated on this wiki. A more detailed lists of workshops and teaching material on this wikis is on our Workshops and Classes page. In this page, we only list ongoing classes and workshops.

Public Data Science 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 six times in Seattle in 2020. So far, more than 100 people have volunteered their weekends to teach more than 500 people to program in Python, to build datasets from Web APIs, and to ask and answer questions using these data.

University of Washington Courses

Northwestern Courses

  • [Winter 2020] History and Theory of Information — We live in an information age, with computers of unprecedented power in our pockets. This course seeks to understand how information shapes our lives today, and how it has in the past. It does so via an interdisciplinary inquiry into four technological infrastructures of information and communication—print, wires, airwaves, and bits. Co-taught by Aaron Shaw and Daniel Immerwahr.


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.

Research News

Follow us as @comdatasci on Twitter and subscribe to the Community Data Science Collective blog.

Recent posts from the blog include:

Replication data release for examining how rules and rule-making across Wikipedias evolve over time
While Wikipedia is famous for its encyclopedic content, it may be surprising to realize that a whole other set of pages on Wikipedia help guide and govern the creation of the peer-produced encyclopedia. These pages extensively describe processes, rules, principles, and technical features of creating, coordinating, and organizing on Wikipedia. Because of the success of …
— sohw 2024-03-25
Sources of Underproduction in Open Source Software
Although the world relies on free/libre open source software (FLOSS) for essential digital infrastructure such as the web and cloud, the software that supports that infrastructure are not always as high quality as we might hope, given our level of reliance on them. How can we find this misalignment of quality and importance (or underproduction) …
— kaylea 2024-01-23
FLOSS project risk and community formality
...operating less formally and sharing power is associated with lower risk...
— mgaughan 2024-01-22
A new paper on the risk of nationalist governance capture in self-governed Wikipedia projects
Wikipedia is one of the most visited websites in the world and the largest online repository of human knowledge. It is also both a target of and a defense against misinformation, disinformation, and other forms of online information manipulation. Importantly, its 300 language editions are self-governed—i.e., they set most of their rules and policies. Our new …
— zarine 2024-01-15

About This Wiki

This 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.

This is mostly a normal MediaWiki although there are a few things to know:

  • There's a CAPTCHA enabled. If you create an account and then contact any collective member with the username (on or off wiki), they can turn the CAPTCHA off for you.
  • Extension:Math is installed so you can write math here. Basically you just add math by putting TeX inside <nowiki> tags like this: <math>\frac{\sigma}{\sqrt{n}}</math>