Satellite Meeting on Spatio-Temporal ML-actionable Metadata: "Can the Physical World Make AI More Trustworthy?"

[Ben Lewis]

Hi all,

I'm sending out a much belated invite to this session ML-actionable metdata, with special consideration of the spatial and temporal dimensions (aka physical world). Here is a bit more information on the session. Excited for the conference! Cheers, Ben

[Ben Lewis]

Deadline for Satellite Meeting sign-up extended.

Some more detail on this meeting...

I will also discuss some concrete experimental directions I'm working on:

*  The scope of spatial data in Dataverse, including tabular files with latent spatial structure
*  Practical generation of GeoCroissant for different file types
*  A lightweight external “shadow Dataverse” layer that allows real systems to test ML-ready metadata and MCP-based access before anything is pushed into core Dataverse

My own examples come mainly from earth and social-science use cases, but I would be especially glad to have participation from astronomy and other observational domains, where uncertainty, provenance, spherical coordinates, and machine reuse may already be more mature.

The format will be informal and discussion-oriented, with brief framing remarks followed by open discussion on practical next steps, useful pilots, and collaborations.

Please sign up by Thursday if you would like to attend: [ble...@cga.harvard.edu](mailto:ble...@cga.harvard.edu)