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

The FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR RCN) welcomes computer scientists, geoscientists, research data practitioners, geosciences data and tool repositories / providers, and computing infrastructure providers and research tool builders to participate in FARR's in-person workshop on April 8-9, 2026 at the AGU Conference Center in Washington DC. Communities outside of geosciences with similar challenges, as well as industry, government, and non-profits with a stake in these topics are also encouraged to attend.   

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Purpose:

The FARR Workshop 2026 aims to make advances 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

• Contributing to a roadmap that will serve as a guide for community-led efforts 

• Exploring research gaps, priorities and next steps

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Should you 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 topics, this workshop will be a good opportunity to connect with others.

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Program

Draft meeting agenda. For purposes of planning your travel, the meeting will begin on April 8 at 8 am and conclude on April 9, 2026 by 3 pm.

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Highlights

• The HDR ML Challenge program is hosting its second FAIR challenge, this year presenting three scientific benchmarks for modeling out of distribution in three critical areas: Neural Forecasting, Climate Prediction using Ecological Data, and Coastal Flooding Prediction over time.  In conjunction with the FARR Workshop, on April 8th from 4-5:30 pm Challenge organizers will present an overview of the challenge, after which, there will be an award ceremony, where the challenge winners will present their solutions.

• Cross agency panel, April 9th from 1:15-2:45 pm

 

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Logistics

This meeting will be in-person only. There is no registration fee. Breakfast and lunch will be provided. Travel support will be made available for a limited number of early career researchers. Please note that space is limited at this event and we might not be able to accommodate all applications.

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Posters

Posters should be no larger than 45 inches x 45 inches (114 cm x 114 cm).

Call for poster abstracts

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​Accommodations: reservations due by March 20, 2026, while supplies last

• Churchill Hotel - $219/night +tax, 5 min walk, Group booking link

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Registration

There is no registration fee, but participants should register by March 13, 2026 [Link] to allow for planning logistics such as space, food and name badges.

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We adhere to the Community Participation Guidelines of our partner, GO FAIR US

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Venue

AGU Conference Center

2000 Florida Ave. NW, Washington, D.C. 20009

Directions to the AGU Conference Center

Closest Metro station: Dupont Circle

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Organizing Committee

​Elizabeth Campolongo, Imageomics
Julie Christopher, UCSD, SDSC
Kevin Coakley, UCSD, SDSC
Daniel S. Katz, UIUC, NCSA
Christine Kirkpatrick, UCSD, SDSC
Josephine Namayanja, iHARP
Douglas Rao, North Carolina Institute for Climate Studies, NCSU
Lynne Schreiber, UCSD, SDSC
Karen Stocks, UCSD, SIO

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Workshop Sponsors