Join us! Call for Ph.D. Applications and Public Q&A Event

It’s Ph.D. application season and the Community Data Science Collective is recruiting! As always, we are looking for talented people to join our research group. Applying to one of the Ph.D. programs that the CDSC faculty members are affiliated with is a great way to get involved in research on communities, collaboration, and peer production.

Because we know that you may have questions for us that are not answered in this webpage, we will be hosting an open house and Q&A about the CDSC and Ph.D. opportunities on Friday, October 20 at 18:00 UTC (2:00pm US Eastern, 1:00pm US Central, 11:00am US Pacific). You can register online.

This post provides a very brief run-down on the CDSC, the different universities and Ph.D. programs our faculty members are affiliated with, and some general ideas about what we’re looking for when we review Ph.D. applications.

Group photo of the collective at a recent retreat.

What is the Community Data Science Collective?

The Community Data Science Collective (or CDSC) is a joint research group of (mostly quantitative) empirical social scientists and designers pursuing research about the organization of online communities, peer production, and learning and collaboration in social computing systems. We are based at Northwestern University, the University of Washington, Carleton College, Purdue University, and a few other places. You can read more about us and our work on our research group blog and on the collective’s website/wiki.

What are these different Ph.D. programs? Why would I choose one over the other?

This year the group includes three faculty principal investigators (PIs) who are actively recruiting PhD students: Aaron Shaw (Northwestern University), Benjamin Mako Hill (University of Washington in Seattle), and Jeremy Foote (Purdue University). Each of these PIs advise Ph.D. students in Ph.D. programs at their respective universities. Our programs are each described below.

Although we often work together on research and serve as co-advisors to students in each others’ projects, each faculty person has specific areas of expertise and interests. The reasons you might choose to apply to one Ph.D. program or to work with a specific faculty member could include factors like your previous training, career goals, and the alignment of your specific research interests with our respective skills.

At the same time, a great thing about the CDSC is that we all collaborate and regularly co-advise students across our respective campuses, so the choice to apply to or attend one program does not prevent you from accessing the expertise of our whole group. But please keep in mind that our different Ph.D. programs have different application deadlines, requirements, and procedures!

Faculty who are actively recruiting this year

If you are interested in applying to any of the programs, we strongly encourage you to reach out the specific faculty in that program before submitting an application.

Ph.D. Advisors

A photo of Jeremy Foote. He is wearing a grey shirt.
Jeremy Foote

Jeremy Foote is an Assistant Professor at the Brian Lamb School of Communication at Purdue University. He is affiliated with the Organizational Communication and Media, Technology, and Society programs. Jeremy’s research focuses on how individuals decide when and in what ways to contribute to online communities, how communities change the people who participate in them, and how both of those processes can help us to understand which things become popular and influential. Most of his research is done using data science methods and agent-based simulations.

A photo of Benjamin mako Hill. He is wearing a pink shirt.
Benjamin Mako Hill

Benjamin Mako Hill is an Associate Professor of Communication at the University of Washington. He is also adjunct faculty at UW’s Department of Human-Centered Design and Engineering (HCDE), Computer Science and Engineering (CSE) and Information School. Although many of Mako’s students are in the Department of Communication, he has also advised students in all three other departments—although he typically has more limited ability to admit students into those programs on his own and usually does so with a co-advisor in those departments. Mako’s research focuses on population-level studies of peer production projects, computational social science, efforts to democratize data science, and informal learning. Mako has also put together a webpage for prospective graduate students with some useful links and information..

A photo of Aaron Shaw. He is wearing a black shirt.
Aaron Shaw. (Photo credit: Nikki Ritcher Photography, cc-by-sa)

Aaron Shaw is an Associate Professor in the Department of Communication Studies at Northwestern. In terms of Ph.D. programs, Aaron’s primary affiliations are with the Media, Technology and Society (MTS) and the Technology and Social Behavior (TSB) Ph.D. programs (please note: the TSB program is a joint degree between Communication and Computer Science). Aaron also has a courtesy appointment in the Sociology Department at Northwestern, but he has not directly supervised any Ph.D. advisees in that department (yet). Aaron’s current projects focus on comparative analysis of the organization of peer production communities and social computing projects, participation inequalities in online communities, and collaborative organizing in pursuit of public goods.

What do you look for in Ph.D. applicants?

There’s no easy or singular answer to this. In general, we look for curious, intelligent people driven to develop original research projects that advance scientific and practical understanding of topics that intersect with any of our collective research interests.

To get an idea of the interests and experiences present in the group, read our respective bios and CVs (follow the links above to our personal websites). Specific skills that we and our students tend to use on a regular basis include consuming and producing social science and/or social computing (human-computer interaction) research; applied statistics and statistical computing, various empirical research methods, social theory and cultural studies, and more.

Formal qualifications that speak to similar skills and show up in your resume, transcripts, or work history are great, but we are much more interested in your capacity to learn, think, write, analyze, and/or code effectively than in your credentials, test scores, grades, or previous affiliations. It’s graduate school and we do not expect you to show up knowing how to do all the things already.

Intellectual creativity, persistence, and a willingness to acquire new skills and problem-solve matter a lot. We think doctoral education is less about executing tasks that someone else hands you and more about learning how to identify a new, important problem; develop an appropriate approach to solving it; and explain all of the above and why it matters so that other people can learn from you in the future. Evidence that you can or at least want to do these things is critical. Indications that you can also play well with others and would make a generous, friendly colleague are really important too.

All of this is to say, we do not have any one trait or skill set we look for in prospective students. We strive to be inclusive along every possible dimension. Each person who has joined our group has contributed unique skills and experiences as well as their own personal interests. We want our future students and colleagues to do the same.

Now what?

Still not sure whether or how your interests might fit with the group? Still have questions? Still reading and just don’t want to stop? Follow the links above for more information. Feel free to send at least one of us an email. We are happy to try to answer your questions and always eager to chat. You can also join our open house on October 20 at 2:00pm ET (UTC-4).

FOSSY Wrap-up Bonus – Eriol Fox on User Research

Welcome to a bonus round of our series spotlighting the excellent talks we were fortunate enough to host during the Science of Community track at FOSSY 23!

Eriol Fox presented their talk, “Community lead user research and usability in Science and Research OSS: What we learned,” (due to scheduling issues, this landed in the Wildcard track, but it was definitely on-topic for Science of Community! Eriol introduced us to their work exploring how scientists and researchers think about open source software, including differences in norms and motivations as well as challenges around the structure of labor. They also brought along copies of their 4 super cool zines from this project!

You can watch the talk HERE and learn more about Eriol’s work HERE.

FOSSY Wrap-Up: CDSC presents Interactive Session — Let’s Get Real: Putting Research Findings into Practice

Welcome to part 7 of a 7-part series spotlighting presentations from the Science of Community track at FOSSY 23!

In this interactive session, Dr. Benjamin Mako Hill, Dr. Aaron Shaw, and Kaylea Champion hosted a series of conversations with FOSS community members about finding research, putting it to use, and building partnerships between researchers and communities!

This talk was (intentionally!) not recorded, but we’ve synthesized the resources we shared into this wiki page.

FOSSY Wrap-Up: Mariam Guizani on Rules of Engagement: Why and How Companies Participate in OSS

Welcome to part 6 of a 7-part series spotlighting the excellent talks we were fortunate enough to host during the Science of Community track at FOSSY 23!

In this talk, Dr. Guizani shared her work to understand the motivation for companies to participate in open source software development, encompassing the perspective of both small and large firms.

You can watch the talk HERE and learn more about Dr. Guizani HERE.

FOSSY Wrap-Up: Shoji Kajita on Research Data Management Skills Development Leveraged by an Open Source Portfolio

Welcome to part 5 of our 7-part series reviewing all the great talks we were fortunate enough to host during the Science of Community track at this year’s FOSSY.

In this talk, Dr. Kajita introduced us to the work being done as part of the Apereo (formerly JA-SIG/Sakai) to create FOSS platforms to serve as academic and administrative infrastructure in higher education. Research data management is a skill that emerging scholars must learn to do modern quantitative research — and this skill can be scaffolded and tracked via the Karuta portfolio tool.

Watch the talk HERE, learn more about Karuta HERE, and learn more about Dr. Kajita HERE.

FOSSY Wrap-Up: Kaylea Champion’s Lightning Talk on Undermaintained Packages

Welcome to part 4 of a 7-part series spotlighting the excellent talks we were fortunate enough to host during the Science of Community track at FOSSY 23!

Kaylea presented on her new research project to identify how packages come to be undermaintained, in particular investigating assumptions that it’s all about “the old stuff” — old packages, old languages. It turns out that’s only part of the story — older packages and software written in older languages do tend to be undermaintained, but old packages in old languages — the tried and true, as it were — do relatively well!

Watch the talk HERE and learn more about Kaylea’s work HERE.

FOSSY Wrap-Up: Anita Sarma’s Lightning Talk on Inclusion Bugs

Welcome to part 3 of a 7-part series spotlighting the excellent talks we were fortunate enough to host during the Science of Community track at FOSSY 23!

Dr. Anita Sarma gave us an excellent introduction to her and her team’s work on understanding how to make FOSS more inclusive by identifying errors in user interaction design.

Matt Gaughan delivered a rapid introduction to his dataset highlighting the numerous places where the Linux Kernel is using unsafe memory practices.

You can watch the talk HERE and learn more about Dr. Sarma HERE.

FOSSY Wrap-up – Sophia Vargas on Proactive Metrics to Combat Maintainer Burnout

Welcome to part 1 of a 7-part series spotlighting the excellent talks we were fortunate enough to host during the Science of Community track at FOSSY 23!

Sophia Vargas presented ‘Can we combat maintainer burnout with proactive metrics?’ In this talk, Sophia takes us through her extensive investigations across multiple projects to weigh the value of different metrics to anticipate when people might be burning out, including some surprising instances where metrics we might think are helpful really don’t tell us what we think they do.

You can watch the talk HERE and learn more about Sophia’s work HERE.

FOSSY Fun, Finished

The CDSC hosted the Science of Community Track on July 15th at FOSSY this year — it was an awesome day of learning and conversation with a fantastic group of senior scholars, industry partners, students, practitioners, community members, and more! We are so grateful and eager to build on the discussions we began.

If you missed the sessions, watch this space! Most sessions were recorded, and we’ll post links and materials as they’re released.

Special thanks to Molly de Blanc for all the long distance organizing work; Shauna Gordon McKeon for stepping in to help share some closing thoughts on the Science of Community track at the very last minute, and to the FOSSY organizing team for convening such a warm, welcoming inaugural event (indeed, the warmth was palpable as it nearly hit 100° F on Friday and Saturday in Portland).

One tangible result of a free software conference: new laptop stickers!