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Dear CDI Members,

This year's CDI statements of interest are in, and you can now view and comment on the CDI wiki.

We are asking you to be part of the community discussion that helps to select the next group of funded projects!


View and comment on the FY20 Statements of Interest


Reminder: you log in at the upper-right corner.
USGS employees: use your full email address and AD password,
External partners: use the credentials you received when you joined the CDI.

Join us for the Lightning Presentation Session for an overview of all of the statements, October 23, at 3pm ET.

Google Calendar event

Email cdi@usgs.gov with any questions.

Sincerely,Leslie Hsu
CDI Coordinator

FY20 CDI Statement of Interest Submissions

PI Last NameSubmission Title
BarnhartBuilding a framework to compute continuous grids of basin characteristics for the conterminous United States
BradfordImplementing FAIR Data Principles to a Ecohydrology Dataset Simulated at Fine Temporal and Spatial Scales for the Western United States
BurnettIntegrating Two Foundational USGS Data Products: the Breeding Bird Survey (BBS) and the Bird Banding Lab (BBL) Data
DuniwaySo you want to build a web-tool?: Assessing successes, pitfalls, and lessons learned in an emerging frontier of scientific visualization
EricksonUsing Jupyter Notebooks to tell data stories and create reproducible workflows
FoxUSGS Cloud Environment Cookbook
HittEnabling AI for citizen science in fish ecology
HunterImplementing FAIR practices: Storing and displaying eDNA data in the USGS Nonindigenous Aquatic Species database
KolbDeveloping a "fire-aware" stream gage network by integrating USGS enterprise databases
LetcherVisualizing environmental effects on animal movements
LiuCommunicate and Refine USGS Strategy for Crowdsourcing, Citizen Science, and Competitions through Workshops and Trainings
MartinA framework for incorporating management objectives into an integrative predictive model to direct future eDNA monitoring
MedenblikWaterbody Rapid Assessment Tool (WaterRAT): 3-dimensional Visualization of High-Resolution Spatial Data
MillerDeveloping operational long-term forecasting capabilities at USGS: a test case from the USA National Phenology Network
NelsonDevelopment and distribution of standardized data products from small UAS photo collections
PeacockDevelopment of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR
PetkewichReal-time Coastal Salinity Index for monitoring coastal drought and ecological response to changing salinity values
ReedGrassCast: A multi-agency tool using remote sensing, modeling, and on-the-ground science to forecast grassland productivity in the Southwest
RybergBetter data stewardship of historical flood estimates—A new database and interface
SofaerCan deep learning leverage USGS occurrence data to predict invader dominance?
SohlMoving towards EarthMAP: Establishing linkages among USGS land use, water use, runoff, and recharge models.
WebbResearch to Operations: Ensemble Modeling at Hillslope to Regional Scales
WellmanA Prototype AWS Fit-For-Purpose Scale-Transform Service
WilliamsonUsing machine learning to map topographic-soil & densely-patterned sub-surface agricultural drainage (tile drains) from satellite imagery 


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