FARR: FAIR in ML, AI Readiness, & Reproducibility

NSF Award # 2226453

If you are interested in 

Promoting better practices for AI

Improving efficiency and reproducibility

Exploring research gaps and priorities for data-centric AI

FARR - FAIR AI Readiness & Reproducibility  

Building communities to

Promote better practices for AI

Harness community efforts 

Improve efficiency and reproducibility

Stimulate and enhance new research

For more info, contact us at community@farr-rcn.org

“Our researcher and practitioner survey shows that 83.8% of participants are unaware of or unsure about any implementation-level variance1.”

Activities will include

Workshops

Assessing community needs

Fostering new collaborations (proposals)

Setting research agendas

Community-led reports