The 2026 American Geophysical Union (AGU) conference brings together thousands of attendees to collaborate, connect, and celebrate Earth and space science. AGU26 will be held in San Francisco, CA, Dec. 7-11, 2026.
The Biodiversity Information Standards (TDWG) is hosting the 2026 Annual Conference as a hybrid conference in Oslo, Norway, Sept. 21-15, 2026. NEON Biorepository and Science staff will present and be available to connect.
The Association for the Sciences of Limnology and Oceanography (ASLO), with co-sponsorship by the International Society of Limnology (SIL), will host the 2027 Aquatic Sciences Meeting Feb. 28-Mar. 27, 2027, in San Juan, Puerto Rico.
The 2026 CALCON Technical Meeting, also known as the Characterization and Radiometric Calibration for Remote Sensing Annual Meeting brings together scientists, engineers, managers, and mission to discuss challenges and solutions for calibration, remote sensing, radiometric issues and more.
The Ecology and Evolution of Infectious Diseases conference provides a platform for attendees to discuss and connect around topics of disease and ecology, like disease impacts, interventions, and ecological feedbacks. NEON Ecologist, Sara Paull, will be at the conference presenting a poster about the NEON mosquito pathogen status data product and sitting on the career panel.
The iDigBio Digital Data Conference is a free virtual conference that brings together the community to explore the theme "enabling science through integrated biodiversity data." The NEON Biorepository and a NEON Ambassador will be presenting at the conference.
The "AI Unlocked: Empowering Higher Education through Research and Discovery" in Denver, CO is a day and a half-long event that enables researchers, educators, and students to learn how to integrate AI tools in research and classroom settings.
The First Imageomics Conference will bring together the imageomics community to discuss and contribute to the future of biological discovery through the intersection of visual data with science, machine learning, and AI.
The FAIR in ML, AI Readiness, & Reproducibility Research Coordination Network (FARR RCN) workshop Apr. 8-9 brings together scientists, practitioners, and developers to move forward AI readiness, reproducibility, and FAIR principles in machine learning.
