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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. FARR is funded by the National Science Foundation under grants #2226453, 1928208. Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Acknowledgement to Odd Erik Gunderson for his work on the Source of Irreproducibility in Machine Learning: A Review, available at https://doi.org/10.48550/arxiv.2204.07610. Kirkpatrick, Christine R.; Coakley, Kevin; Schreiber, Lynne; Christopher, Julie; Katz, Daniel; Stocks, Karen; Rao, Yuhan Douglas (2023). FARR: FAIR in ML, AI Readiness, & Reproducibility Network Postcard. In San Diego Supercomputer Center (SDSC) Research Data Services Materials Collection. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0X92BG3
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text
Identifier
ark:/20775/bb3048084g
Language
English
Subject
Research reproducibility FAIR Principles Artificial intelligence (AI) readiness Machine learning FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR)
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