You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
We will collaborate with data scientists and researchers to shape how we understand open source community health and make it easier for people to use CHAOSS tools, metrics, and metrics models to draw meaningful insights that they can use to improve open source project health using data science-based approaches.
Who should join this working group?
Anyone interested in data science and data analysis can join. You don't need to be an expert or know how to perform advanced techniques, like machine learning or artificial intelligence. We welcome data scientists, data analysts, researchers and others with an interest in data.
Background
This is a working group within the CHAOSS project to support our Data Science Initiative. If you work for a company who is interested in sponsoring some of our work, we have a sponsorship prospectus with more details.
Participate
How to Join Us?
Want to join the working group? Here is a simple step by step guide on how to join:
The CHAOSS Data Science Working Group develops a set of Practitioner Guides to help individuals understand how to interpret data about an open source project, enabling them to develop insights that can improve the project's health. They are designed for Open Source Program Offices (OSPOS), project leads, community managers, maintainers, and anyone who wants to understand project health better and take action on what they learn from their metrics.
We are also working on several projects using CHAOSS metrics and tools to help answer people's questions about open source projects and their unique dynamics. You can find details about these projects in the WG's GitHub Issues.
