AI Use Cases

Use case	Agency	Stage	High-impact	Topic area	AI classification	Sourcing
BirdNET to detect bird vocalizations for research and species monitoring USDA-080 · Natural Resources and Environment	USDA	Deployed	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Using machine learning methods to analyze drivers of water quality 77 · AO	EPA	Deployed	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Classifying CWD-Infected Elk Using Recurrent Neural Networks on GPS Movement Data DOI-0135 · USGS	DOI	Deployed	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Machine Learning for geophysical data inversion DOE-195 · NETL - National Energy Technology Laboratory (FECM)	DOE	Deployed	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Regional waste feedstock conversion to biofuels DOE-358 · PNNL - Pacific Northwest National Laboratory (SC43 OIM)	DOE	Deployed	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Predicting fire severity potential in future wildfires in California USDA-151 · Natural Resources and Environment	USDA	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Random forest models for predicting water quality of inland waters from remotely sensed imagery DOI-0137 · USGS	DOI	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69] DOI-0047 · BOR	DOI	Pilot	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Advanced Long Term Environmental Monitoring Systems (ALTEMIS) DOE-714 · SRS - SRNL - Savannah River Site - Savannah River National L	DOE	Pilot	High-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311] DOI-0163 · USGS	DOI	Pre-deployment	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house
Improved Processing and Analysis of Test and Operating Data from Rotating Machines [2024 INV#DOI-62] DOI-0041 · BOR	DOI	Pre-deployment	Not high-impact	Energy and the Environment	Classical / predictive ML	Developed in-house