Submit your session proposal for the ESIP January 2027 Meeting. Submissions are open through November 19.
The GeoData 4 Health Cluster connects the Geoinformatics community and the Biomedical Informatics community to develop infrastructure for better research. To learn more about this Cluster and its activities, visit […]
The goal of the Marine Data Cluster is to bring together ESIP members working with data in the marine geosciences to discuss advancements and challenges in their field, and to […]
This Committee's webinar series is a monthly gathering dedicated to learning about new tools and techniques in Earth science data. To learn more about this Committee and its activities, visit […]
The Data Readiness Cluster fosters the collaboration between agencies, academia, and industries around data-centric artificial intelligence (AI) for Earth and space sciences. To learn more about this Cluster and its […]
This Cluster helps ESIP members tackle challenges as geospatial computing continues to demand more volume, variety, and velocity - the core characteristics of big data. To learn more about this […]
This Committee considers all amendments to ESIP’s Policies and Procedures, as well as acting as a resource for questions from community participants. Learn more about this Committee and its activities […]
The ESIP EnviroSensing Office Hours provide an open, community space for discussion, troubleshooting, and collaborative development of environmental sensing approaches across the research data lifecycle. Sessions will alternate between participant-driven […]
This Cluster aims to build strong collaborations with agriculture and climate communities, particularly those focused on climate change impacts, while gaining a deep understanding of their needs, and seeking expertise […]
This Cluster provides guidance for repository operators and others to follow consistent conventions to improve data discovery through search engines. To learn more about this Cluster and its activities, visit […]
This Cluster fosters collaboration among researchers, data scientists, technologists, and decision-makers, and aims to responsibly integrate ML technologies into the scientific workflow. To learn more about this Cluster and its […]