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The top 20 ranked projects invited back for full proposals. They are listed here, alphabetical alphabetically by PI last name.
| Title | Principal Investigator (PI) | PI Organization |
|---|---|---|
| Open-source and open-workflow Climate Scenarios Toolbox for adaptation planning | Aparna Bamzai | USGS North Central Climate Adaptation Science Center |
| Extending ScienceBase for Disaster Risk Reduction | Joe Bard | USGS Cascades Volcano Observatory |
| Transforming Biosurveillance by Standardizing and Serving 40 Years of Wildlife Disease Data | David Blehert | National Wildlife Health Center |
| Integrating short-term climate forecasts into a restoration management support tool | John Bradford | USGS Southwest Biological Science Center |
| National Public Screening Tool for Invasive and Non-native Aquatic Species Data | Wesley M. Daniel | USGS Wetland and Aquatic Research Center |
| High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States | Sara L Eldridge | USGS Wyoming-Montana Water Science Center |
| Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Image Velocity Gaging | Frank L. Engel | USGS Texas Water Science Center |
| Serving the U.S. Geological Survey’s geochronological data | Amy Gilmer | USGS Geology and Environmental Change Science Center |
| Establishing standards and integrating environmental DNA (eDNA) data into the USGS Nonindigenous Aquatic Species database | Margaret Hunter | USGS Wetland and Aquatic Research Center |
| Subsidence Susceptibility Map for the Conterminous U.S. | Jeanne Jones | USGS Western Geographic Science Center |
| A generic web application to visualize and understand movements of tagged animals | Ben Letcher | Leetown Science Center |
| Building a Roadmap for Making Data FAIR in the U.S. Geological Survey | Fran Lightsom | USGS Woods Hole Coastal and Marine Science Center |
| Developing an Analytical Tool to Compare Hazard-related Crowdsourced and Citizen Science Data to Official Sources | Sophia B Liu | Science and Decisions Center |
| Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework | Richard McDonald | Water Mission Area - Model Support and Coordination Branch |
| Leveraging deep learning through use of the dl_tools software package to enhance wetland mapping capabilities of the NWI | David Millar | USGS Fort Collins Science Center |
| Implementing a Grassland Productivity Forecast for the U.S. Southwest | Sasha Reed | USGS Southwest Biological Science Center |
| Building web-service based forecasting tools for wildlife disease managers | Katie Richgels | USGS National Wildlife Health Center |
| Water Security in U.S. Megacities: Building Decision Frameworks Beyond Water Management | Sachin Shah | Texas Water Science Center |
| ExDetect: a cloud-based remote sensing and GIS tool to detect and monitor the spread of exotic annuals around energy development sites | Miguel Villarreal | Western Geographic Science Center |
| Image Analysis with Machine Learning: Tile-drain detection and delineation in agricultural landscapes | Tanja N Williamson | USGS Ohio-Kentucky-Indiana Water Science Center |
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Voters were asked to rank up to 15 statements of interest. The following chart shows that about half of voters ranked a full 15 statements. Smaller numbers of voters only ranked 1-14 statements and there were no trends in particular statements being voted on singularly.
For details, see: CDI-FY19-SOI-Raw_Results.csv
Algorithm for points
The Borda Count method was used. We had N = 33 total statements. N (33) points were assigned for rank 1, N-1 (32) for rank 2, and so on down to N-14 for rank 15.
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