This $101,562 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of an autonomous, end-to-end Large Language Model-based platform called the LA Fire Knowledge Graph-Agent (LAFIREKG-Agent). The platform aims to enhance situational awareness and decision-making for wildfire risk management in Los Angeles County by integrating multisource remote sensing data, meteorological variables, and other relevant information into a comprehensive knowledge graph. The key objectives are to enable rapid decision-making, predictive modeling, and complex reasoning to improve disaster preparedness and response strategies. The project will be executed by the Regents of the University of California at Riverside, a public research university and Hispanic-serving institution, over the period from June 2025 to May 2026. The resulting tools and best practices will be shared publicly to promote open science and reproducible research in AI-driven environmental studies.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $101.6k | 6/3/25 |