pdsw 2026:11th International
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| Program Co-Chairs: Johannes Gutenberg University Mainz (JGU), Germany Georgia State University, USA |
General Chair: Sandia National Laboratories, USA |
INVITED SPEAKER
Christine Kirkpatrick, San Diego Supercomputer Center
The Relationship Between AI and Research Data Management
slides coming soon
abstract: :With the scientific world focused on becoming ‘AI Ready’, a new opportunity has emerged: revisiting long-standing challenges and unmet needs in research data management and computation-heavy science. This talk examines that opportunity from two angles and the relative value propositions of both:
- As newer AI technologies become more ubiquitous in science, what new approaches to research data management do they require?
- How can research data management practices be applied to mine computational artifacts (e.g., benchmarks) for insight?
bio: Christine Kirkpatrick leads the San Diego Supercomputer Center’s (SDSC) Research Data Services division, which manages large-scale infrastructure, networking, and services for research projects of regional and national scope. Her research is in data-centric AI, working at the intersection of ML and FAIR, with a focus on making AI more efficient to save on power consumption and 'time to science'. Kirkpatrick serves as PI of the NSF-funded FAIR in ML, AI Readiness & Reproducibility RCN which aims to advance best practices in AL, enhance reproducibility, and explore key gaps in data-centric AI research. Kirkpatrick also leads the NIAID Data Landscaping and FAIRification project which seeks to benefit biomedical researchers and the broader community in generating and analyzing data related to infectious, allergic, and immunological conditions, the project is guided by the FAIR principles and provides strategies to improve metadata quality across NIAID and NIH-supported data repositories and resources. Kirkpatrick founded the GO FAIR US Office, is on the Executive Committee for the Open Storage Network, and is Co-PI of the NSF-funded GRANDE-U: Groundwater Resilience Assessment through iNtegrated Data Exploration, a project focused on groundwater research in the Baltic states. Christine serves as the Secretary General of the International Science Council's Committee on Data (CODATA), co-chairs the FAIR Digital Object Forum, is on the Advisory Board for the Helmholtz Federated IT Services (HIFIS), and chairs the National Academies of Sciences’ U.S. National Committee for the Committee on Data. In each of her roles, Christine brings a commitment to broadening the STEM pipeline, focusing on early career and representation. Christine was a founding member of the University of California (UC) Electronic Accessibility Leadership Team and a co-author of the UC Accessibility Policy.
