Project Grant 2507058
- This $189,881 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports the creation of a multimodal embodied training platform to advance fire investigation practices. The 3-year project, awarded to Lehigh University, aims to develop an AI-driven, physics-informed 3D fire modeling system to help fire investigators develop crucial spatial-temporal reasoning skills needed to accurately reconstruct fire origins and...
- The National Science Foundation (NSF) awarded a $539,673 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Maryland, College Park. The grant project aims to create a multimodal, embodied training platform that advances fire investigation practices through adaptive deliberate practice and learning analytics, focusing on the spatial-temporal reasoning skills needed to reconstruct fire development from observed fire damage and...
- This $989,332 Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) will develop an advanced artificial intelligence (AI) and machine learning (ML) framework to improve understanding and prediction of wildland fires. The University of Maryland, College Park will integrate multimodal geoscientific data, such as satellite observations, to create a comprehensive dataset for detecting and forecasting wildland fires. The research aims to address...
- This Project Grant award from the National Science Foundation's Biological Sciences Program (CFDA 47.074) will develop an advanced Artificial Intelligence (AI) and Machine Learning (ML) framework to improve the understanding and prediction of wildland fires. The $867,245 grant, awarded to American University, will integrate multimodal geoscientific data from various platforms to create a comprehensive dataset for wildland fire detection and forecasting. The research team will address key...
- The National Science Foundation awarded a $150,000 Project Grant to the National Center for Atmospheric Research (NCAR) under the Computer and Information Science and Engineering program (CFDA 47.070). The award will support development of a closed-loop sensing, modeling, and communications system to aid in wildfire detection, mapping, and prediction from July 2022 through June 2025. The system aims to leverage detailed 3D environmental models incorporating fuel, terrain, weather and other...
- This $389,332 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop improved computer models and simulation tools to better predict how wildfires spread in areas where forests and natural areas meet cities and towns, known as the wildland-urban interface (WUI). The key objectives are to: 1) Gain a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local...
- This federal Project Grant award, totaling $101,562, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The award will fund the development of the LA Fire Knowledge Graph-Agent (LAFIREKG-Agent) platform, an autonomous, end-to-end large language model-based framework designed to enhance situational awareness and support rapid decision-making, predictive modeling, and complex reasoning for wildfire risk...
- 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 $390,000 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to improve the understanding and modeling of fire spread in the wildland-urban interface (WUI), where forests and natural areas meet cities and towns. The key objectives are to: Develop a fundamental physical understanding of how fire interacts with individual structures and materials in urban environments at the local scale. Investigate how these localized interactions influence...
- 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...
This $169,235 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to create a multimodal embodied training platform that will advance fire investigation practices by enhancing the spatial-temporal reasoning skills of investigators. The project will incorporate AI-driven, physics-informed 3D fire modeling to dynamically generate and visualize fire scenarios, enabling investigators to identify and analyze evidence, reconstruct fire progression, and explore variations in fire dynamics. The platform seeks to improve the quality and effectiveness of fire investigation through adaptive deliberate practice and learning analytics, ultimately benefiting public safety by enabling more accurate identification of fire origins and causes. Many of the project's methodologies could extend to related fields like crime scene investigation that require advanced spatial-temporal reasoning. The University of Tennessee, the prime awardee, will lead this 3-year project starting in Sep 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $169.2k | 8/20/25 |