As artificial intelligence transforms the scientific discovery for Earth and space sciences, there is an urgent need to ensure that Earth and space science data is ready for AI applications. As a collaborative community that bridges government agencies, academia, private industries, and international initiatives, ESIP is a natural space to advance the development of data standards and tools to support the transformation of Earth and space science data for AI applications. The Data Readiness Cluster is created after 2021 ESIP Winter Meeting aims to steward community effort on the topic of AI ready data, from definition and standards, to tools and capacity building.
As a new cluster, the Data Readiness Cluster invites all members of the Earth and space science community to design a road map to guide the development of data standards and tools for AI data readiness. This session will build on the landscape analysis of data standards, tools, and research that are relevant to AI ready data. The community will co-design a path forward and identify major milestones for developing data standards and tools for AI ready data. We invite individuals and groups who are interested in the topic to join the session and contribute to the design of a road map that guides the cluster activities for the next two years.
Session agenda:
13:30–13:35 Welcom & session overview
13:36–14:00 "Celebrity Interview" - Data Readiness Cluster Workplan & Community Feedback on the workplan
14:01–14:50 Breakout Room (two rounds) - Data AI-readiness Checklist
Session materials:
-
Data Readiness Cluster Problem Statement-
Data Readiness Cluster Workplan-
Sample checklist for data AI-readiness
Relevant sessions during ESIP Summer Meeting 2021
View Notes
