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7th Federal Uncrewed Systems (UxS) Workshop

The 7th Federal Uncrewed Systems (UxS) Workshop is a no-cast government - academic workshop that brings together federal, state, local, academic, and practitioner partners to collaborate and discuss safe, effective, and mission-ready applications of uncrewed systems.

2026 Hacking Limnology Workshop Series: Day 3 NEON Workshop

DSOS (Data Science and Open Science) and AEMON-J (Aquatic Ecosystem MOdeling Network - Junior) organize the "Hacking Limnology Virtual Summit and Workshops," a multi-day event of presentations about aquatic research and workshops that include keynote talks and live coding exercises. Day 3 of the workshops will focus on linking NEON aquatic macroinvertebrate data with water quality, stream discharge and other sensor data.

CoSMic x MICROnet Educator Training Workshop

Instructors interested in bringing microbiome research into the classroom in the Mountain West can apply by Mar. 31 to take part in this microbiome education and training workshop. The workshop is hosted by Colorado State Microbiome Network (CoSMic) is partnering with the DOE Systems Biology Knowledgebase (KBase) MICROnet.

Virtual Hackathon: Harnessing the Data Revolution ML Challenge

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.

From Data to Decisions: Strategies for Translational Communication of Complex Data to Decision Makers

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.”

Scientific Modeling out of Distribution ML Challenge Hackathon

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.

Scientific-MOOD FAIR Challenge Hackathon

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.

NSF Harnessing the Data Revolution Machine Learning Challenge - Imageomics Institute Virtual Hackathon

The Imageomics Institute is hosting a virtual hackathon as part of NSF's Harnessing the Data Revolution Machine Learning Challenge.

Remote Sensing and Fluxes for Real-World Impact Workshop

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. 

NEON Data Workshop - Oregon State University (On-site)

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.

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.