E.g. data infrastructure, declarative tooling for experiments, visualisation tooling, data sharing/exchange services, provenance infrastructure for threading data generation through to ML model training, protocols for lab equipment, etc.
So I'm wondering if people on the more traditional side of tech are interested in building devtools/infra for science, what you see as the main barriers, whether there's anything specific you'd like to build, and what would help you get started?
For those working in science, I'm also curious what tools you'd like to see built, and whether you'd be willing to collaborate with an engineer to make them happen?
This lives in my academy atm - but you can signup for free and try it out. This is a DevOps infra for higher educational research - right now focused on Cybersecurity, IoT, Software Engineering, AI Workflows.
But this can be customised to whatever you want to run - because all I provide is a mini self-hosted AWS for EdTech that gives you MicroVMs, VPN, Hosting, AI Based learning and evaluation tools, all gamified. It can generate Roadmaps and link them to lessons you can then try on labs! So a lab can be anything you want to be!
You looking for something like this? Am I anywhere near?