With the emergence of machine learning (ML) usage in research comes greater complexity for data stewards, research facilitators, and researchers. This session will introduce FAIR and ML, AI Readiness with a focus on the role of institutions and data repositories, and AI reproducibility. Participants will be encouraged through interactive, live polls, and open discussion to discuss their challenges, pain points, and interest as it relates to any of the topics.
Speaker: Christine Kirkpatrick (UC San Diego Supercomputer Center)
Moderated by: Stephanie Labou (UC San Diego Library)
This workshop is part of UC Love Data Week, a week-long offering of workshops focusing on using data to build a better future through data management, security, sharing, and preservation. All members of the University of California community are welcome to attend. Make sure to register with your UC campus email. A Zoom link will be emailed to registered participants before the workshop starts. Participants are expected to follow and uphold UC San Diego Principles of Community.
Contact:
Registration:
https://uc-love-data-week.github.io/calendar#fairdata