Interdisciplinary Models

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What

How do we define minimal information models tuned for synthesis that can interoperate across various disciplines?

Concrete problem expressed by Peter-Murray Rust here: https://discord.com/channels/1029514961782849607/1040214388554084372/1040299259930611833: "The idea of Hypothesis testing is common in some disciplines, unknown in others. For example chemical synthesis or materials science is "can we make X?" and many sciences are exploratory - what can we see with a new telescope, plants in Antarctica, etc. You have to design your project but I suspect Hypothesis doesn't come into it."

And to a certain extent, the issue of representing/discussing the discourse of computational research (e.g., model parameters), discussed by Konrad Hinsen here: https://discord.com/channels/1029514961782849607/1038988750677606432/1039576903838859326

This connects also with Peter-Murray Rust's work on Semantic Climate (semantifying the IPCC report).

see discussion here: https://discord.com/channels/1029514961782849607/1040057721044598788/1040060670907002973
and here: https://discord.com/channels/1029514961782849607/1033091746139230238/1040226423346040853

And also connects to emerging discussions around interoperability and Surfacing/managing/resolving disagreements in ontologies/terms/federation

Initial discussion

Matthew, Peter, Wayne, James

Projects discussed:

- Scraping literature in geosciences to spatially map out contributions http://globe.umbc.edu/ - Materials Genome Initiative mentioned: infrastructure well-supported but still siloed - OPTIMADE: common API format between existing materials databases

"grassroot tech assemblage can work at scale. "Shoddy" now works."

"need to flourish long enough to been seen by other disciplines"

"So: how do we work in a way that others can learn from in future" -- without being discouraged from starting new things