Presentations and publications about the work of maintaining free & open-source software
Mis à jour :
Over the past few years, our team has been working on a few interrelated research projects about the work of maintaining Free & Open-Source Software (FOSS) projects. For more information about our project, read this blog post we wrote when we first received our research grant from the Ford & Sloan Foundations. Our team is an interdisciplinary mix tackling these issues from qualitative and quantitative perspectives, and many of us have also been maintainers of various FOSS projects:
Team
- R. Stuart Geiger, UC San Diego, Dept of Communication & Halıcıoğlu Data Science Institute
- Lilly Irani, UC San Diego, Dept of Communication & The Design Lab
- Dorothy Howard, UC San Diego, Dept of Communication & The Design Lab
- Alexandra Paxton, UCONN, Dept of Psychological Sciences
- Nelle Varoquaux, CNRS, Université Grenoble Alpes
- Chris Holdgraf, UC Berkeley, Berkeley Institute for Data Science
Presentations
- Invisible Work, Incentives, & Burnout in Open Communities by Dorothy Howard at SciPy 2019
- The Invisible Work of Maintaining & Sustaining Open Source Software by R. Stuart Geiger at SciPy 2019
- “I didn’t sign up for this”: The Invisible Work of Maintaining Free/Open-Source Software Communities” recorded podcast of a discussion by R. Stuart Geiger and Dorothy Howard at the 2020 Annual Meeting of the Society for the Social Studies of Science (4S), part of a 9 episode series on “Hacker Cultures: Understanding the Actors Behind Our Software”
- Coming soon as a recorded panel discussion: “Labor, Roles, and Incentives in Digital Infrastructure” with R. Stuart Geiger, a panel hosted by the Ford and Sloan Digitial Infrastructure Initiative
Publications
We’re working on a few different papers at the moment, but you can read this earlier paper from some of our team about a related topic: documentation in FOSS:
- Geiger, R.S., Varoquaux, N., Mazel-Cabasse, C., and Holdgraf, C. “The Types, Roles, and Practices of Documentation in Data Analytics Open Source Software Libraries.” Computer Supported Cooperative Work (JCSCW) 27, 767–802 (2018). https://osf.io/2fdhr/download https://doi.org/10.1007/s10606-018-9333-1