# Main Page

CDSC members at Pok Pok in March 2017. Clockwise from top left: Sneha, Mako, Aaron, Emilia, Nate, Jeremy, Sayamindu, Salt.

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 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.

## 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.

Many organizations have unprecedented access to data, experiments, and statistical inference. The diffusion of these resources has created pressure to develop the skills and practices necessary to use them. However, the distribution of these skills and practices has an organizational component, leading some teams and organizations to harness social scientific insights far more effectively than …

— Aaron Shaw

http://aaronshaw.org 2018-03-21
Introducing Computational Methods to Social Media Scientists
The ubiquity of large-scale data and improvements in computational hardware and algorithms have provided enabled researchers to apply computational approaches to the study of human behavior. One of the richest contexts for this kind of work is social media datasets like Facebook, Twitter, and Reddit. We were invited by Jean Burgess, Alice Marwick, and Thomas Poell …

— Jeremy Foote

http://www.jeremydfoote.com 2018-01-22
OpenSym 2017 Program Postmortem
The International Symposium on Open Collaboration (OpenSym, formerly WikiSym) is the premier academic venue exclusively focused on scholarly research into open collaboration. OpenSym is an ACM conference which means that, like conferences in computer science, it’s really more like a journal that gets published once a year than it is like most social science conferences. …

— Benjamin Mako Hill

http://mako.cc 2018-01-16
Introduction to R workshop
I recently taught a two-session workshop introducing R to Kellogg MBA students. I had  a few goals for the workshops: Convince students of the benefits of using text-based programming for data exploration and analysis Introduce basic programming concepts (e.g., variables, functions) Give students a basic understanding of how to do some fundamental data analysis tasks …

— Jeremy Foote

http://www.jeremydfoote.com 2017-11-16

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