Presenter: Ali Khosravi from PSI
Main points of your contribution:
- The hard part of RSE isn’t the code, it’s understanding users and how they already work.
- A real case study: a data-sharing platform for a 30+ group, and projected ~200-researcher Swiss consortium.
- A concrete ‘‘understand → build → ask → repeat’’ loop, including real questionnaire findings.
- A reflection on how AI shifts the value of the job: when prototypes take days, user understanding, communication, and ownership become the scarce skills.
What listeners will learn:
- A practical method for designing tools researchers will actually adopt (not just tools that work).
- Why existing habits make or break adoption, and how to account for them.
- How to run the build–feedback loop in practice, with lessons from a live project.
- How to rethink their own role, as AI makes code cheap.
Intended audience & skills needed:
Basically anyone who’s interested in building tools for researchers, there will also be some values for research group leaders to see the experience. No specialist background needed: no specific programming language, domain, or FAIR-data expertise required.