On Feb. 12 (Hackathon), join the National Ecological Observatory Network and the Environmental Data Science Innovation & Impact lab for a virtual hackathon. The hackathon will introduce the NSF Harnessing the Data Revolution (HDR) Machine Learning (ML) Challenge - Scientific Modeling out of Distribution (Scientific-MOOD), and a virtual space to form a team and create a submission. Join Feb. 10 at 10am for training on setting up an account and the CyVerse and Codabench platforms.
The National Ecological Observatory Network (NEON), Association of Ecosystem Research Centers (AERC), and the Savannah River Ecology Laboratory (SREL) are converging February 9-12 for a workshop focused on scientific communication entitled, “From Data to Decisions: Strategies for Translational Communication of Complex Data to Decision Makers.”
Join us for an in-person hackathon at the University of Colorado Boulder on Tuesday, Jan 27, to learn how to use AI/ML tools on the CyVerse platform to predict biological, ecological, and environmental data. The event will provide an introduction to the NSF Harnessing the Data Revolution (HDR) Machine Learning Challenge, including a venue to form a team and get started with a submission to the challenge.
Register to join an in-person hackathon event in Boulder, CO on Dec 12 & 15, for the Harnessing the Data Revolution (HDR) Machine Learning (ML) Challenge - Scientific Modeling out of Distribution (Scientific-MOOD). This two-day event will provide an introduction to the NSF Harnessing the Data Revolution (HDR) Machine Learning Challenge, including a venue to form a team and get started with a submission.
NEON is collaborating with AmeriFlux and CarbonDew to host the workshop Remote Sensing and Fluxes for Real-world Impact: Integration with Advanced Techniques on March 4-5, 2026 in Boulder, CO. The workshop is a unique opportunity to advance your skills in connecting eddy-covariance flux measurements with geospatial data to enhance real-world applications.
Discover how to access and work with NEON’s ecological data through a hands-on workshop featuring live coding in R and a remote sensing demonstration in Google Earth Engine. Learn practical skills and tools to apply NEON data to your own research, with examples from the Pacific Northwest and the 2023 Lookout Fire.
The data lifecycle for a majority of the U.S. National Science Foundation (NSF) Major and Mid-scale Facilities starts with data acquisition and capture from scientific instrument(s), e.g. telescopes, sensors, field devices, spectrometers, accelerators, interferometers, magnets, lasers, to name a few. Quite often, the data acquisition step and the associated data management practices at the facility to capture this initial data dictate the effectiveness of the latter parts of the data lifecycle.
In this workshop, NEON scientists will lead participants through the NEON website and NEON data portal to learn about NEON's online educational resources and how to download data.
