# Moderator's email address
# Backup moderator name
# Backup moderator's email address
Mechanisms and governance issues for funding open source software in science
Open source software is playing a rapidly increasing role in scientific
discovery. As just one example for which we have actual data, mentions of
Python in astronomy papers have skyrocketed in recent years, while Matlab and
IDL, two proprietary computing platforms, have grown much more slowly or
Both funding and recognition in academia have lagged this growth in importance.
Key performance indicators (KPIs) for career advancement at most or all
universities lack any reference to software development. Almost no national
funding agencies have schemes for developing software, let alone maintaining
existing, successful software.
The goal of this BOF is to develop (the outline of) an actionable plan to
improve the funding situation for community-driven scientific open source
software. The following topics will be discussed:
1. Current funding schemes, the funding shortfall, and the funding disparity
between open source and proprietary software.
2. What form grants should take; how to enable contributors to build a career
from open source.
3. Governance models for open source projects that account for financial
4. Models for building up and publishing the needs and plans of open source
projects, in order to be able to solicit funding effectively.
We would like to hear from a diverse group, including:
- Those who have struggled to obtain funding or recognition for their open
- Those who have, on the contrary, had some success in getting such funding.
- Those from organizations such as NumFOCUS, the Moore Foundation, Quansight,
Anaconda, the Chan Zuckerberg Initiative, and others, who have made some
headway in rectifying this situation.
# Schedule overlaps
- [ ] Panel
- [x] Open discussion
- [ ] Other: ...