Interdisciplinary Models: Difference between revisions

From Synthesis Infrastructures
(Some notes from initial discussion)
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"grassroot tech assemblage can work at scale. "Shoddy" now works."
"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

Revision as of 15:43, 12 November 2022

Interdisciplinary Models
Description How do we define minimal information models tuned for synthesis that can interoperate across various disciplines?
Related Topics Interoperability
Discord Channel #interdisciplinary-models
Facilitator Wayne Lutters
Members Paul Itoi, Elianna DeSota, Leo Ware, Konrad Hinsen, James Howison, Wayne Lutters, Peter Murray-Rust

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).

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