Sam: Met Office not too many external collaborations but internally there is more demand for collaborations than there are data scientists available. Two issues for science teams:
Idea but no ML expertise, like what are the right algorithms for the problems, data wrangling, pipelines.
Do not have the expertise to carry on afterwards.
Scientists not used to working in the cloud.
Community of practice
Noah: fixed collaborator with close relationship
Doug: R2O is really challenging and learning about how to accomplish that transition is important.
Chris: closing that knowledge gap on spinning up people in ML. Develop domain-specific training materials.
February 1
January 4