Cooperative Agreement 2528445
- This Project Grant award of $411,900.00 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the development of a convergent framework for next-generation wildfire evacuation simulation. The research aims to create realistic artificial intelligence (AI) agents powered by large language models, reinforcement learning, and multi-modal datasets to improve the behavioral realism, prediction accuracy, and decision-support capability of wildfire evacuation simulation...
- The National Science Foundation (NSF) has awarded a Project Grant under the Engineering federal grant program (CFDA 47.041) to The Johns Hopkins University to develop a convergent framework for learning-based simulation of collective human behavior in wildfire evacuations. The $353,457 award, which runs from December 1, 2025 to November 30, 2028, aims to create next-generation wildfire evacuation simulation models that feature realistic artificial intelligence (AI) agents powered by large...
- The National Science Foundation awarded a $100,000 Project Grant to the University of California, Berkeley under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop context-specific scientific simulation models and an advanced visualization platform to mitigate wildfire risks. The award period is from July 1, 2022 to June 30, 2023. Specifically, the University will create an integrated simulation framework capturing the dynamics of wildfire evacuation, including...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $418,401 to the University of Florida (UF) to develop a novel convergent framework for learning-based simulation of collective human behavior in wildfires. The objective is to create a transformative simulation model with realistic artificial intelligence (AI) agents powered by psychological theory, large language models, reinforcement learning, and multi-modal datasets. This research...
- This three-year Project Grant from the National Science Foundation supports research into wildland fire observation, management, and evacuation systems. With $144,967 in funding, the award will develop intelligent collaborative flying and ground systems to aid in monitoring, responding to, and evacuating areas threatened by wildfires. The awardee is the University Corporation for Atmospheric Research, operating through its National Center for Atmospheric Research facility in Boulder, Colorado....
- This Project Grant award for $1,250,000, funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of a novel Artificial Intelligence (AI)-assisted decision support system called PCEXPLORER (Physical & Citizen Sensing Exploration Tool). The project, led by George Mason University (GMU), aims to address challenges in emergency shelter planning and evacuation strategies for severe weather events...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $522,462 to the University of California, Santa Barbara to study how people's movement patterns change during natural disaster events, particularly wildfires. The researchers will use anonymous mobile phone data and spatial analytics to model how communities respond to disasters and how their mobility is impacted. The goal is to develop open-source tools that...
- This SBIR Phase II Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $955,736 to Helios Pompano Inc., a minority-owned and Hispanic American-owned small business, to develop an innovative system for the rapid detection and verification of high-risk lightning strikes that can initiate wildfires. The project aims to create a ground-based system using extremely low frequency (ELF) lightning...
- This Project Grant from the National Science Foundation supports research titled "COLLABORATIVE RESEARCH: CPS: MEDIUM: WILDLAND FIRE OBSERVATION, MANAGEMENT, AND EVACUATION USING INTELLIGENT COLLABORATIVE FLYING AND GROUND SYSTEMS." Awarded on May 1, 2021 for a three-year period concluding on April 30, 2024, the $249,999 grant will fund research under the Computer and Information Science and Engineering program. Specifically, the grant supports the development of technologies using...
- The National Science Foundation awarded a $5.138 million cooperative agreement to the University of California, San Diego from October 2021 to September 2023 under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The award supports development of an Artificial Intelligence and Community Driven Wildland Fire Innovation via a WiFire Commons Infrastructure for data and model sharing. Key products include a data visualization environment, explainable AI capabilities for...
This SBIR Phase II Cooperative Agreement award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $1,231,473 to Wui-Go, LLC to develop a decentralized evacuation intelligence platform powered by generative AI. The project aims to enhance public safety and community resilience in wildfire-prone areas through personalized evacuation planning and real-time guidance. The key innovations include a surrogate modeling approach for fast on-device evacuation route predictions, an AI-driven interface for emergency managers, and a preparedness app for residents. This technology is expected to bridge the gap between emergency protocols and household decision-making, reduce the burden on first responders, and strengthen long-term community preparedness. The award period runs from September 15, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.2m | 9/10/25 |