The CDI sent out ballots for voting on October 28, with the voting open until November 13, 2020.

1756 ballots were distributed to CDI members and 157 ballots were returned.

Each voter was given 15 votes to distribute among the 36 statements of interest. Voters were allowed to assign 0-3 votes per statement. 


Voting totals are shown below. 

The top 27 statements have been invited back for full proposal submission).

The decisions were finalized after briefing the CDI's executive sponsors, Kevin T. Gallagher and Tim Quinn. 

Point totals, USGS priorities, and CDI guiding principles (such as broad use of proposed outputs) were considered.

All Lead PIs were notified by email on December 3, 2020.

The 27 statements invited for full proposal are listed below.

An Imagery “ID” System ... Building an “Imagery Dashboard” for rapid and efficient publication of USGS data.Sandra BrosnahanWoods Hole Coastal and Marine Science Center
Landsat-derived fire history metrics to provide critical information for prioritizing prescribed fire across the SoutheastTodd HawbakerGeosciences and Environmental Change Science Center
Coast Train: Massive Library of Labeled Coastal Images to Train Machine Learning for Coastal Hazards and ResourcesPhillipe WernettePacific Coastal and Marine Science Center
Making USGS/NOAA Total Water Level and Coastal Change Forecast data accessible through user-friendly interfacesKara DoranSt. Petersburg Coastal and Marine Science Center
Joining diverse data to improve fire forecasts for the western U.S.: Incorporating hot drought and intra-annual precipitation variabilitySasha ReedSouthwest Biological Science Center
Operationalizing ecological drought forecasts for drylands of the Western US using high performance computing John B BradfordSouthwest Biological Science Center
burnrData: The North American tree-ring fire history database in REllis MargolisFort Collins Science Center, New Mexico Landscapes Field Station
Integrating Satellite-Derived Shoreline Data and Predictive Models
to Enhance Coastal Change Forecasts 
Sean VitousekPacific Coastal and Marine Science Center
Building opportunities for data collaboration and integration across USGS’s wildland fire scienceKurtis NelsonEarth Resources Observation and Science Center
Processing a new generation of hyperspectral data on the Cloud using PangeoItiya AneeceWestern Geographic Science Center
Fire and Water - Integrating Precipitation and Fire Data into StreamStats Theodore BarnhartWyoming-Montana Water Science Center
From reactive- to condition-based maintenance: Anomaly predictions and automated review for USGS time-series dataMatthew CashmanMaryland-Delaware-D.C. Water Science Center
Modernizing sensor data workflows to leverage Internet of Things (IoT) and cloud-based technologiesThomas GushueSouthwest Biological Science Center
The Wildfire Trends Tool: a data visualization and analysis tool to facilitate land management needs and scientific inquiry Douglas ShinnemanForest and Rangeland Ecosystem Science Center
Improving forest structure mapping and regeneration prediction with multi-scale lidar observationsBirgit PetersonEarth Resources Observation and Science Center
Site Prioritization Tool for Invasive Species: Integrating Diverse Spatial Data to Improve Decision Making Janet PreveyFort Collins Science Center
Advancing Post-Fire Debris Flow Hazard Science with a Field Deployable Mapping ToolFrancis RengersGeologic Hazards Science Center 
#MinutesMatter: Real-time data collection and transmission in wildfire burn scarsJohn FultonColorado Water Science Center
A framework for the integration of energy life cycle data to support environmental health assessments, identify science gaps, and EarthMAPAdam BenthemNew England Water Science Center
Coupled Ocean-Atmosphere-Wave-SedimentTransport (COAWST) Modeling System 2021 Training WorkshopJohn C WarnerWoods Hole Coastal and Marine Science Center 
Predicting successful post-fire reforestation: scaling from data to applicationJens StevensFort Collins Science Center, New Mexico Landscapes Field Station
GIS Clipping and Summarization Tool for Points, Lines, Polygons, and RastersSue KempForest and Rangeland Ecosystem Science Center
Analysis and Prediction Tool for Coastal ResilienceTara RootCaribbean-Florida Water Science Center
Standardizing, aggregating and disseminating USGS wildlife genetic data for improved management and advancement of community best practicesMargaret HunterWetland and Aquatic Research Center
Integrated Science Outreach Application for Local StakeholdersKatharine DahmOffice of the Rocky Mountain Regional Director
A modeling framework to forecast land cover change impacts on coastal wetland carbon in LouisianaCamille L StaggWetland and Aquatic Research Center
Integrating data to Explore Interactions, Controls, and Heterogeneity in Harmful Algal Blooms (HABS)Liv HerdmanNew York Water Science Center

Comments that came in through the ballots

The comments this year were positive (usually we see more suggestions on how to improve) and indicative of the high quality of the statements.

Comment 1 All options were great! Wish I could have voted for all.

Comment 2 Great projects!

Comment 3 Great proposals. I wonder how a rank choice system might work in future years? Gave most points to Benthem et al. because updating the energy maps is super important and would be useful for multiple wildlife projects. Thanks for all your hard work organizing these.

Comment 4 I thought everyone did a great job of explaining their projects during the lightening talks round. And I am really pleased and delighted at the all the wildfire applications I see. So timely!

Comment 5 I tried to assign votes to proposals that were in the thread of the main themes, Fire Science and Coastal Resilience, and to ones that were focused on the data and tools, and not basic research.

Comment 6 CDI rocks!

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