FARR: FAIR in ML, AI Readiness, & Reproducibility v2 Postcard

Kirkpatrick, Christine R.; Schreiber, Lynne; Stocks, Karen; Christopher, Julianne (2024). FARR: FAIR in ML, AI Readiness, & Reproducibility v2 Postcard. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. https://doi.org/10.6075/J03R0T37

This postcard was distributed at conferences to disseminate project objectives and to promote awareness of AI reproducibility and ways to document implementation factors of AI-based research.

• 2023

• 2024

• Christopher, Julianne
• Kirkpatrick, Christine R.
• Schreiber, Lynne
• Stocks, Karen

• San Diego Supercomputer Center (SDSC)

This work is supported by the National Science Foundation under grant: # 2226453 (FARR).

• FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR)

• Artificial intelligence (AI) readiness
• FAIR Principles
• Machine learning
• Reproducibility

• text

• English

Other resource

• FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR) (farr-rcn.org)
• San Diego Supercomputer Center (SDSC) (sdsc.edu)

Creative Commons Attribution 4.0 International Public License

• Authors

Under copyright (US)

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2024-03-27