# Main Page

CDSC Members: Aaron, Sneha, and Mako.
CDSC Members: Jeremy and Nate

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 and the Northwestern University Department of Communication Studies.

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 Wrokshops 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 roughtly twice a year since times 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.

### University of Washington Courses

• [Winter 2017] COM521: 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.

## 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.

### Recent Research Blog Posts

What we lose when we move from social to market exchange
Couchsurfing and Airbnb are websites that connect people with an extra guest room or couch with random strangers on the Internet who are looking for a place to stay. Although Couchsurfing predates Airbnb by about five years, the two sites are designed to help people do the same basic thing and they work in extremely …

— Benjamin Mako Hill

http://mako.cc 2018-10-09
Shannon’s Ghost
I’m spending the 2018-2019 academic year as a fellow at the Center for Advanced Study in the Behavioral Sciences (CASBS) at Stanford. Every CASBS study is labeled with a list of  “ghosts” who previously occupied the study. This year, I’m spending the year in Study 50 where I’m haunted by an incredible cast that includes …

— Benjamin Mako Hill

http://mako.cc 2018-09-26
Forming, storming, norming, performing, and …chloroforming?
In 1965, Bruce Tuckman proposed a “developmental sequence in small groups.” According to his influential theory, most successful groups go through four stages with rhyming names: Forming: Group members get to know each other and define their task. Storming: Through argument and disagreement, power dynamics emerge and are negotiated. Norming: After conflict, groups seek to …

— Jeremy Foote

http://www.jeremydfoote.com 2018-06-26
Summer Institute in Computational Social Science
For the second year, Matt Salganik and Chris Bail are running a two-week Summer Institute in Computational Social Science at Duke Univeristy. The goal of the institute is to bring social scientists and data scientists together to learn about computational social science, which can be described as a merger of their two fields. This year, …

— Jeremy Foote

http://www.jeremydfoote.com 2018-06-21

• Extension:Math is installed so you can write math here. Basically you just add math by putting TeX inside <nowiki> tags like this: $\frac{\sigma}{\sqrt{n}}$