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FAIR in ML, AI Readiness, & Reproducibility (FARR) Workshop

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The FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR RCN) welcomes computer scientists, geoscientists, research data practitioners, as well as computing infrastructure providers and research tool builders to participate in FARR's in-person workshop on October 9-10, 2024 at the AGU Conference Center in Washington DC.

 

Workshop duration: The workshop begins on Wednesday, October 9th at 9:00 am and concludes on Thursday, October 10th at 3:00 pm.

 

Who should attend?

  • Are you interested in learning about or working towards AI readiness?

  • Do you want to share AI models, or use others' models?

  • Are you concerned about reproducibility of work that uses AI models?

  • Do you have experiences in these areas that you think others would benefit from?

If you are interested in those questions, this workshop will be a good opportunity to connect with others.

 

Purpose:

The "FARR Workshop” aims to make advancement in the areas of AI Readiness, AI Reproducibility, and the intersection of the FAIR Principles and ML through

  • Spurring new or deepened collaborations

  • Sharing best practices and lessons learned

  • Exploring research gaps and priorities 

  

Applications are due by June 28, 2024

Please note that space is limited at this event and we might not be able to accommodate all applications. 

 

Logistics:

Attendance at the meeting will be in-person only. There is no registration fee for this meeting. Breakfast and lunch will be provided. Travel support will be made available for a limited number of early career researchers. 

Accommodations: reservations due by September 6, 2024, while supplies last

 

For updates please visit: https://www.farr-rcn.org/workshop24

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