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 |
|---|---|---|---|---|---|---|
| Neural Networks for FHFA Modeling Analytics Platform (FMAP) FHFA-2 · DHMG | FHFA | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Economic Trend Modeling FRB-0001 · Division of Monetary Affairs | FRB | Deployed | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Machine Learning with Premier Healthcare Data to inform predictive modeling of antibiotic use R0695 · HHS/CDC | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Supply Chain Resilience Program, Office of Supply Chain Resilience (OSCR) - Foresight R0833 · HHS/FDA/CDRH | HHS | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Operational Water Supply Forecasting for Western US Rivers USDA-027 · Farm Production and Conservation | USDA | Deployed | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
| Illicit Trade DHS-2391 · CBP | DHS | Deployed | High-impact | Law Enforcement | Classical / predictive ML | Developed in-house |
| Trade Entity Risk Model DHS-95 · CBP | DHS | Deployed | Presumed high-impact, determined not | Law Enforcement | Classical / predictive ML | Developed in-house |
| Critical Infrastructure Network Anomaly Detection DHS-106 · CISA | DHS | Deployed | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Individual Assistance (IA) Predictive Models for Program Quantities DHS-2722 · FEMA | DHS | Deployed | Not high-impact | Emergency Management | Classical / predictive ML | Developed in-house |
| Airport Throughput Predictive Model DHS-2432 · TSA | DHS | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Supervisory Stress Testing NCUA_ONES-02 · NCUA|ONES | NCUA | Deployed | High-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| Delineating sub-surface drainage using satellite imagery [2024 INV#WO0000000109525] DOI-0230 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Predicting post-fire tree mortality DOI-0100 · USGS | DOI | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Performance Modeling / Performance Forecasting DOI-0016 · SOL | DOI | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI DOE-351 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Time Series Forecasting, Evaluation and Deployment (Time-FED) NASA-814 · JPL: Jet Propulsion Laboratory | NASA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Variable Optimization FRB-0010 · Division of Supervision and Regulation | FRB | Pilot | Not high-impact | Other | Classical / predictive ML | Developed in-house |
| Drug Shortage Predictive Model R0840 · HHS/FDA/CDER | HHS | Pilot | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Regression, Classification, Clustering with Hilbert Curves USDA-077 · Natural Resources and Environment | USDA | Pilot | Not high-impact | Science | Classical / predictive ML | Developed 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 |
| Data-Driven Streamflow Drought [2024 INV#WO0000000109714] DOI-0234 · 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 |
| Machine learning based shoreline time-series imputation, classification and forecasting (time-series analyses) [2024 INV#WO0000000108117] DOI-0178 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| HOTLink: identifying elevated thermal anomalies at volcanoes [2024 INV#WO0000000109217] DOI-0158 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Experimental Forecast for River Chlorophyll DOI-0105 · USGS | DOI | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Invasive Carp Harvest Predictive Model DOI-0061 · USGS | DOI | Pilot | Not high-impact | Science | 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 |
| Machine Learning for Accelerator Operations Using Big Data Analytics / L-CAPE DOE-73 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Tsunami Hazard Analysis [2024 INV#WO0000000108470] DOI-0165 · USGS | DOI | Pre-deployment | Not high-impact | Science | 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 |
| GovCon Match SBA-17 · OCIO: Office of the Chief Information Officer | SBA | Retired | Not high-impact | Service Delivery | Classical / predictive ML | Developed in-house |
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