[math-dev]

Also, sorry for the double post, but how large do you see the collaboration requirements of academia? Is there a lot currently or is this something you are trying to change with a lower friction solution?

Can definitely see it as a very good way to share results and raw data (esp as we go more and more into a big data world), sort of like github but for academic data!

[rowanc1]

I think that the collaboration workflows in academia could use some improvements for sure! A lot of the challenges I saw were around multi-disciplinary work, where the collaboration was necessary - but pretty limited. Curvenote is aiming to improve that with lower friction tools, as well as trying to influence the "size" of what can be/is shared.

Right now a lot of the sharing is done right at the end, with a large scientific paper - and that is when peer-review comes in. I like the analogy of github here - in the open-source software world, there is a lot more iterative sharing of smaller, in-progress work where the feedback from a colleague/peer has a lot of potential to influence and improve future work.

Curvenote can ideally help in tracking of the version-control/attribution around reusing and referencing work, and helping with collaboration along the way - rather than just at the "end".