NEXT Event
The Geneva Workshop on Innovations in Scholarly Communication
From 10-14 November 2025
Christine Kirkpatrick
CODATA / San Diego Supercomputing
Christine Kirkpatrick leads the Research Data Services division at the San Diego Supercomputer Center, supporting large-scale research infrastructure. Her work focuses on data-centric AI, aiming to improve efficiency and reduce power use and time to discovery. She is PI of the NSF-funded FAIR in ML RCN, advancing best practices and reproducibility in AI. Kirkpatrick also leads the NIAID FAIRification project, enhancing biomedical data metadata quality. She founded the GO FAIR US Office, serves on the Open Storage Network Executive Committee, and is Co-PI of the NSF-funded GRANDE-U project, supporting groundwater research in the Baltic states.
All Sessions by Christine Kirkpatrick
Research Integrity
November 14, 2025
16:10
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16:30
AI-ready and FAIR data, workflows, and models
The adoption of AI in science is increasing across most scientific fields, from engineering to life, earth, and social sciences, as well as the humanities. To be prepared, we need to go beyond FAIR data (findable, accessible, interoperable, reusable) and ensure that the data we use is ready, adequate, and well-documented for the new AI-based research workflows, and is described appropriately for transparency and reproducibility of our findings. This talk will discuss the implementation of the FAIR principles on AI-ready data, workflows, and models, and introduce AI readiness in the context of open science.
16:50
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17:00