AI Magazine Special Issue

The FARR (FAIR in ML, AI-readiness and Reproducibility) Research Coordination Network completed the coordination and publication of a special issue in AI Magazine on FAIR Principles and Machine Learning, AI Readiness, and AI Reproducibility.

• Five primary articles from the FARR community were accepted for publication. 

• An introductory synthesis article was developed to connect the special issue contributions. Schreiber, L., D. S. Katz, Y. Rao, and C. R. Kirkpatrick. 2026. “ Introduction to special issue on FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility.” AI Magazine 47: e70063. https://doi.org/10.1002/aaai.70063   

 

Special Issue Editors

• Daniel S. Katz, NCSA & SCDS & iSchool, University of Illinois Urbana-Champaign

• Christine R. Kirkpatrick, SDSC, University of California San Diego

• Yuhun (Douglas) Rao, North Carolina Institute for Climate Studies, North Carolina State University

• Lynne Schreiber, SDSC, University of California San Diego​​