We are a home for Earth science data and computing professionals. Our sessions bring together the community for hands-on, interdisciplinary deep dives as we explore "Bridging Divides: Data, Technology, Community" this year. Learn more about this theme on the ESIP Meetings page.
Session and plenary recordings will be published on the ESIP YouTube Channel.
AI capabilities are developing tremendously quickly, creating opportunities for those supporting the research data enterprise to do their work in new or more efficient ways. But the rapid pace also creates divides: some people have access to the time, expertise, and resources to learn how to apply AI tools, while others do not. This session (Part 2 of the AI curation series) shares real-world experiences and lessons learned about how people are applying specific AI tools to the work of managing and making research data useful. Lightning talks followed by a roundtable discussion covering what is working well, what has been tried but is not ready for prime time, and key considerations and cautions.
Audience Those with a success story or cautionary tale about applying AI to research data management; those who want to understand how AI might help address their own challenges and tasks
Coordinator of the USGS Community for Data Integration, Interim Director of the USGS Powell Center, and member of the USGS Science Data Management branch. https://github.com/hsu000001
