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

The FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR RCN) aims to build better practices (via a roadmap, community practices, and advice on tooling) for both the members of and the larger CS, GEO, and other communities they represent.

The FARR Workshop 2026, April 8-9, 2026 at the AGU Conference Center in Washington DC, 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

Abstracts are due by February 6, 2026. Visit the workshop website for more information and to submit an abstract.