Building an Open Platform for Sustaining Data Science Innovation
summary
NumFOCUS claims an operational platform: 26 sponsored and 24 affiliated projects producing roughly 50 packages that combine into a reusable stack. Example outputs are concrete — conda recipes for fast installs, Jupyter notebooks that win awards and change how people share reproducible analyses, and journals like JOSS enabling open peer review. Surprising scale shows up in staffing and funding: core libraries run largely on volunteer time while events and corporate grants supply the actual dollars and CI resources that make the platform work.
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chapters (11)
- 0:00Introduction
- 1:12Conference and NumFOCUS mission
- 9:28Sustaining innovation in open source
- 18:59Sustainable open scientific ecosystem
- 25:28NumFOCUS-supported projects
- 42:01Future funding challenges
- 46:35Q&A: Getting involved
- 50:10Q&A: Funding models
- 51:55Q&A: Non-monetary help
- 54:05Q&A: Community management skills
- 56:19Q&A: Value to leadership
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