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This page lists some past successful statements of interest (most votes from the community) and full proposals (highest rank from review panel). 

Please note that the format and page length restrictions have changed from year to year, so be sure to follow the current year's guidance document if you are submitting a document.

Statements of Interest

FY19

Develop Cloud Computing Capability at Streamgages using Amazon Web Services GreenGrass IoT Framework for Camera Velocty Gaging
A generic web application to visualize and understand movements of tagged animals
Subsidence Susceptibility Map for the Conterminous U.S.
Developing an Analytical Tool to Compare Hazard-related Crowdsourced and Citizen Science Data to Official Sources

FY18

SfM / Photogrammetry Processing Pipeline on USGS HPC
Facilitating USGS data integration into Google Earth Engine for geospatial analysis
Mapping land-use, hazard vulnerability and habitat suitability using deep neural networks
Content specifications to enable USGS transition to ISO metadata standard

FY17

Exploring the USGS Science Data Life Cycle in the Cloud
Metadata Management System and ISO Editor Integration
Web Mapping Application for a Historical Geologic Field Photo Collection
USGS Data at Risk: Expanding Legacy Data Inventory and Preservation Strategies

Full Proposals

FY19

Building a Roadmap for Making Data FAIR in the U.S. Geological Survey
Open-source and open-workflow Climate Scenarios Toolbox for adaptation planning
Coupling Hydrologic Models with Data Services in an Interoperable Modeling Framework
High-Resolution, Interagency Biosurveillance of Threatened Surface Waters in the United States

FY18

Content specifications to enable USGS transition to ISO metadata standard
Knowledge Extraction Algorithms (KEA): Turning Literature Into Data
Workflows to support integrated predictive science capacity: Forecasting invasive species for natural resource planning and risk assessment
Mapping land-use, hazard vulnerability and habitat suitability using deep neural networks

FY17

Automating the use of citizen scientists’ biodiversity surveys in iNaturalist to facilitate early detection of species’ responses to climate change
Exploring the USGS Science Data Life Cycle in the Cloud
Flocks of a feather dock together: Using Docker and HTCondor to link high-throughput computing across the USGS
Empowering decision-makers: A dynamic web interfac - E. Lentz - Woods Hole Coastal and Marine Science Center

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