Congratulations to the 2026 CDI Awarded Projects
The Community for Data Integration announces ten projects to be supported in FY2026. The theme this year was R2X (Research to Technology, Application, or Operations), and USGS Data Strategy goals in support of USGS and Department of the Interior priorities.
Congratulations to the following projects and their teams. These projects will explore the use of AI technologies, align data practices, provide training on data skills, and demonstrate data use in operational workflows supporting the USGS mission.
Development of an AI-driven Approach to Efficiently Implement Structured Literature Syntheses
Patrick Anderson
Breathing Fresh Utility into an R Package for Aquatic Photosynthesis and Respiration
Alison P. Appling
Graphing Meaning Across Landscapes: Adapting USGS Grammar to Graph for Regional Decision Support
Coral M. Howe
Under-ice Discharge on the Edge (ICE-Edge)
Travis M. Knight
Development and Application of a Tool for Automated Transect Extraction Along Rivers (TATER)
Carl J. Legleiter
What They Forgot to Teach in Python 101: Notebook Extensions & USGS Analysis Ready Data Use Cases
Bojan Milinic
Timing is Everything: Advancing Avalanche Forecasting Accuracy For Partners
Erich H. Peitzsch
FieldToTable: An Open Source Tool Using AI to Rapidly Convert Paper Records to Electronic
Joshua J. Picotte
Water-Quality Wonderland: A Nitrate Tool, the Correction Magnitude Table, & Training Opportunities
Kimberly H. Shaffer
IoT Ingest Stack: Software Resources and Guidance for Leveraging IoT Monitoring in USGS Networks
Sean O. Thiboldeaux