🌍 Advancing research software through global collaboration: Highlights from #IRSC26 👉 blog.esciencecenter.nl/posts/2026-1...
A blog by Michelle Barker (Better scientific software) and Kim Hartley (@researchsoftware.bsky.social).

🌍 Advancing research software through global collaboration: Highlights from #IRSC26 👉 blog.esciencecenter.nl/posts/2026-1...
A blog by Michelle Barker (Better scientific software) and Kim Hartley (@researchsoftware.bsky.social).
🌍 Research software is essential to research, but sustaining it requires global coordination.
Our blog explores how #IRSC26 brought together leaders and decision-makers to address shared challenges and shape the future of #ResearchSoftware in the age of GenAI.
Keynotes from the first International Research Software Conference (#IRSC26) are now available:
- What We Talk About When We Talk About RSE by @rivaquiroga.bsky.social
- What Public Code Can Teach Us: Research Software Meets Software Research by Stefano Zacchiroli
You can see the full talk on Zenodo👉 doi.org/10.5281/zeno...
And I'm going to (very slowly!) work on writing up some of these findings into prose soon.
All in all, there's a lot still to dig into in these datasets and the insights coming out of this (and other #IRSC26 talks) really generate more questions for me, namely...
💡Another notable result: people who maintained projects rated contributor training as less effective than those who weren't already maintainers.
Is this because maintainers are more skeptical given their experience, or because they see a burden for themselves, or some other reason?
#IRSC26
Surprise: when we asked people about the perceived effectiveness of different contributions, maintainer funding (money) and institutional policies (might support time) came out on top
Barriers largely focused on skills, confidence, a lack of recognition, and the challenges around learning project dynamics and ways of working
(Honourable mention for Git which was listed multiple times specifically as a barrier!)
Why do they do this? Motivation ranges from personal values around contributing to the research commons, a drive to develop professional skills, through to needing to fix a bug or add a feature to tools people are using in their work
Highlights from today:
Plenty of academics, even those who don't consider themselves contributors, contribute to open source on a regular basis