Technical Resource for Mitigation Programs
The FEMA Hazard Mitigation Assistance (HMA) AI solution addresses the challenge of managing complex grant processes that currently rely on manual review of thousands of applicatio…
Grants Manager Artificial Intelligence ChatBot
The chatbot is intended to solve inefficiencies in FEMA’s grants application review process by streamlining access to policy information, reducing the time and effort required for…
Public Assistance Workload Projections
The use case is predicting recovery program quantities of interest using supervised learning models to include predicting the number of applicants who will apply for Public Assist…
Individual Assistance (IA) Predictive Models for Program Quantities
The use case is predicting recovery program quantities of interest using supervised learning models to include predicting the number of applicants who will apply for Individual As…
Semantic Search, Summarization, and Data/Spatial Visualization for NCR Watch COP/Dashboard
The speed of information, particularly in a developing incident, challenges the capacity of Analysts to collect, sort, source, and validate in real time. The volume of informatio…
First Alert DataMinr AI
combine the text of publicly available news sources about events that share the same time and geographic location
Boston Dynamics Spot Robotics
Obstacle avoidance without human intervention
AI Trapline for Fire
This project would gather various information from various websites/applications after manipulating the inputs on the webpage to get images and store them for human analysis. Crea…
Machine learning in remote sensing-based wildfire and natural resource risk assessments
Predict the risks of wildfire, drought, and invasive species spread on assets of value to the American public
Wildfire Risk Assessment & Predictive Modeling
Assess fire risk potential using historical data, fuel conditions, weather and other conditions.
Use of AI to Enhance Flash Flood Forecast Tool [2024 Inv#WO0000000110323]
There is an opportunity to better predict rainfall on a watershed scale in Great Smoky Mountains National Park and provide forecasts of flooding events with a goal of a 24+ hour l…
Aerial AId: Visual data processing with AI in emergency scenarios for quick decision making
The Aerial AId activity enables the use of perception engines – primarily classification and object detection algorithms – in small uncrewed aerial systems (sUAS) for sUAS medical…
Dataminr
Timely awareness of transportation safety events
Live Consular AI Language Augmentation (LCALA) - OCS/ACS Pilot
LCALA OCS/ACS Pilot aims to close language gaps in routine, time-sensitive citizen services by providing on-demand interpretation for calls and in-person interactions. Today, limi…
Senior Leadership Briefing Generation
The manual process of parsing and understanding documents, and summarizing their content
NewsScape
Development of early warning indicators. News articles can form an early warning indicator of public health events and other pieces of information which can be utilized across all…
Short-term Forecasting of Severe Outcomes for Seasonal and Epidemic Pathogens
Predict severe disease outcomes - such as emergency department visits or hospital admissions - over short time horizons (1-4 weeks) to improve situational awareness for planning a…
The School Closure Awareness System
To efficiently and accurately identify and categorize unplanned school closures across the U.S. using publicly available social media data, replacing a costly and labor-intensive…
1CDP (SEDRIC) AIP for Advanced Foodborne Outbreak Investigation (AI Summarization and Receipt Reading)
This AI solution impacts the process of investigating foodborne disease outbreaks. These foodborne outbreaks require cooperative efforts from CDC staff, FDA, USDA, and local agenc…
Nowcasting Burden and Infection Trends for Seasonal and Epidemic Pathogens
Improve real-time estimates of disease burden and infection trends for better situational awareness for planning and decision-making at the national, state, and local level. Tradi…
Rapid Detection of Acute Releases of Toxic Substances (RaDARTS)
Reporting on Acute Releases of Toxic substances involves review of new media sources and is a highly labor intensive process which may involve missed content. The goal is to rapid…
NCHHSTP Social Media Modernization Strategy: Thought Leadership and Social Listening
To improve communication and ensure health messaging on social media platforms is responsive to the needs of the American people. AI-powered social listening tools are increasingl…
US Poultry and Operations Dataset
Identifies the location and distribution of poultry agricultural facilities in the United States.
Equine Operations and Populations Dataset for the U.S.
The purpose of this case is to develop a dataset that addresses the problem of not having complete information about where horse farms are located and how many horses they have.