AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| NWRC LSS Bioinformatic Coding USDA-101 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML A.D. USDA-102 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Rabies ML M.H. USDA-103 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Pepin ML & AI USDA-104 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| NWRC Genetics Metadata USDA-105 · Marketing and Regulatory Programs | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Vegetation Specifications Suite (VegSpec) USDA-117 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Service Delivery | Classical / predictive ML | Contract and in-house |
| Digital Soil Mapping USDA-120 · Farm Production and Conservation | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Species Distribution Data analysis USDA-126 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Random Forest with Aquatic Effectiveness Monitoring USDA-131 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest fire effects remote sensing models USDA-132 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Yearly Incident Procurement Classification Report USDA-135 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Bugnet USDA-143 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Forest Mapping using G-LiHT airborne data in interior Alaska USDA-146 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning USDA-148 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and 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 |
| Forest Inventory and Cruising using GAIA AI USDA-152 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| App for predicting soil temperature during prescribed burns USDA-154 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Wildfire effects and postfire forest dynamics USDA-155 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Forest habitat mapping for marbled murrelets USDA-157 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| Washington state forest inventory maps USDA-158 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Energy and the Environment | Classical / predictive ML | Contract and in-house |
| Long-term monitoring of northern spotted owl habitat and populations USDA-160 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Fire Containment Suitability (FireCON) USDA-162 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Potential Control Location Suitability USDA-163 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Alisha OCR Reader USDA-164 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| VegScape/CropCASMA Data Portals USDA-172 · Research, Education and Economics | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Contract and in-house |
| Salesforce DOJ-0045 · Department of Justice / CIV | DOJ | Pilot | Not high-impact | Information Technology | Classical / predictive ML | Purchased from vendor |
| Friction Ridge Print Comparisons DOJ-0065 · Department of Justice / DEA | DOJ | Pilot | High-impact | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| Redaction Tool 1 DOJ-0263 · Department of Justice / FBI | DOJ | Pilot | Not high-impact | Administrative Functions | Classical / predictive ML | Contract and in-house |
| Optical Character Recognition Tool 3 DOJ-0273 · Department of Justice / FBI | DOJ | Pilot | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Purchased from vendor |
| Audio and Written Transcription and Translation DOJ-0329 · Department of Justice / DEA | DOJ | Pilot | High-impact | Law Enforcement | Classical / predictive ML | Contract and in-house |
| Acoustic Signature AI for Gunshot Detection DHS-2572 · CBP | DHS | Pilot | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Purchased from vendor |
| Machine Learning approach to predict the composition of seafloor massive sulfide deposits [2024 INV#WO0000000108420] DOI-0245 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| USGS Azure OpenAI ChatGPT [2024 INV#WO0000000154392] DOI-0241 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Purchased from vendor |
| Prioritized Constituents: Sediment [2024 INV#WO0000000109726] DOI-0237 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Data-Driven Streamflow Drought [2024 INV#WO0000000109714] DOI-0234 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| National-Extent Groundwater Quality Prediction for the National Water Census and Regional Integrated Water Availability Assessments [2024 INV#WO0000000109709] DOI-0233 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Vegetation mapping on the Hawaiian island of Lanai [2024 INV#WO0000000109501] DOI-0229 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Population and critical habitat modeling of overwintering monarch butterflies [2024 INV#WO0000000109410] DOI-0227 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Automated otolith aging using image processing [2024 INV#WO0000000109315] DOI-0225 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine learning for tsunami source zones [2024 INV#WO0000000109313] DOI-0224 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Oceanographic, coastal, and geomorphic change analysis: data generation, QC/QA, and data management [2024 INV#WO0000000109310] DOI-0223 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantifying the effects of land-use change and bioenergy crop production on pollinators, wildlife, and ecosystem services in the Northern Great Plains [2024 INV#WO0000000109305] DOI-0222 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Computationally efficient emulation of spheroidal elastic deformation sources using machine learning [2024 INV#WO0000000109302] DOI-0221 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning to evaluate water quality [2024 INV#WO0000000109241] DOI-0219 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Ecological niche models for bat species [2024 INV#WO0000000109233] DOI-0218 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Quantifying Watershed Controls on Fine Sediment Flux to Lake Tahoe, California/Nevada [2024 INV#WO0000000109215] DOI-0216 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Seismology of Magmatic Injection [2024 INV#WO0000000109214] DOI-0215 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Earthquake Catalog Development [2024 INV#WO0000000109208] DOI-0214 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Seedling Identification and Percent Growth Analysis [2024 INV#WO0000000109200] DOI-0213 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Gulf Coast Geologic Energy Machine Learning [2024 INV#WO0000000109198] DOI-0212 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |