Congratulations to the 2019 CDI Funded Projects

Release Date:

The Community for Data Integration has announced fourteen proposals to be funded in FY2019. This year’s request for proposals focused on the themes of biosurveillance, FAIR (findable, accessible, interoperable, and reusable) data, national data assets, and reusable tools.

Open-source and open-workflow Climate Scenarios Toolbox for adaptation planning
Bamzai, Aparna, North Central Climate Adaptation Science Center

Extending ScienceBase for Disaster Risk Reduction
Bard, Joe, Volcano Science Center

Transforming Biosurveillance by Standardizing and Serving 40 Years of Wildlife Disease Data
Blehert, David, National Wildlife Health Center

Integrating short-term climate forecasts into a restoration management support tool
Bradford, John, Southwest Biological Science Center    

National Public Screening Tool for Invasive and Non-native Aquatic Species Data
Daniel, Wesley, Wetland and Aquatic Research Center    

High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States
Eldridge, Sara, Wyoming-Montana Water Science Center    

Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Image Velocity Gaging
Engel, Frank, Texas Water Science Center    

Serving the U.S. Geological Survey’s geochronological data
Gilmer, Amy, Geosciences and Environmental Change Science Center    

Establishing standards and integrating environmental DNA (eDNA) data into the USGS Nonindigenous Aquatic Species database
Hunter, Margaret, Wetland and Aquatic Research Center    

Subsidence Susceptibility Map for the Conterminous U.S.
Jones, Jeanne, Western Geographic Science Center    

A generic web application to visualize and understand movements of tagged animals
Letcher, Ben, Leetown Science Center    

Building a Roadmap for Making Data FAIR in the U.S. Geological Survey
Lightsom, Fran, Woods Hole Coastal and Marine Science Center    

Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework
McDonald, Richard, Water Resources Mission Area Integrated Modeling and Prediction Division    

Implementing a Grassland Productivity Forecast for the U.S. Southwest
Reed, Sasha, Southwest Biological Science Center