Project Grant 2616197
- The National Science Foundation Office of Integrative Activities awarded The Research Foundation For The State University of New York, operating as Stony Brook University, $537,060 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop a physics-informed multimodal artificial intelligence framework for inferring hidden urban flood controls from unstructured evidence such as reports, photographs, and videos. The recipient will establish flood datasets and physics-based...
- This $550,000 National Science Foundation Project Grant under the Geosciences program (CFDA 47.050) will support the development of data-driven physics-informed machine learning models to predict flood-induced flow and sediment dynamics. Over a four-year period ending June 2027, the grantee will improve existing high-fidelity numerical modeling tools and apply them to evaluate flood impacts on infrastructure stability in large waterways. They will then use simulation results to inform and...
- This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $200,000 to New York University (NYU) to develop collaborative partnerships and co-identify research questions aimed at using flood sensor data to better understand and predict urban flooding, as well as implement community-level actions toward adaptation and mitigation. The key objectives are to: (1) develop and optimize data processing tools to prepare the flood dataset for actionable...
- The National Science Foundation (NSF) awarded a Project Grant totaling $199,667 to the New York Institute of Technology (NYIT) under the NSF's Engineering program (CFDA 47.041). The purpose of this grant is to rapidly collect and curate time-sensitive field data, such as high-water marks and precipitation records, from neighborhoods in New York City that were severely flooded by Tropical Storm Ophelia. This data will be used to help stakeholders and communities assess vulnerabilities and develop...
- The National Science Foundation Division of Information and Intelligent Systems awarded Florida International University $200,000 on February 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research to develop artificial intelligence methods that integrate and interpret fragmented urban water and wastewater network data. The project will create a computational framework combining machine learning, graph-based modeling, and multimodal...
- This $199,998 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to advance the understanding of the disproportionate impacts of cascading flood events on vulnerable populations, particularly individuals with disabilities. The primary activities include engaging community partners, conducting stakeholder interviews and community listening tours, assessing the feasibility of existing and emerging flood resilience solutions, and mapping the...
- This $999,664 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070) supports the development of a novel framework for extracting spatio-temporal features from integrated remote sensing data to create a comprehensive knowledge base for monitoring and mapping flood events. The research aims to enable rapid response and recovery efforts by providing real-time communication between human and robot agents...
- This $303,940 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) will fund collaborative research among Columbia University, Stony Brook University, and City College of New York to develop a science-based approach for understanding and predicting flood-borne debris damage to coastal structures under extreme wind and wave conditions. The research will employ computational fluid dynamics, computational solid mechanics, and laboratory experiments to quantify...
- The National Science Foundation Office of Integrative Activities awarded The Research Foundation For The State University of New York $677,967 on August 1, 2026, to develop physics-informed artificial intelligence emulators for stratosphere-troposphere coupling under the Geosciences program (CFDA 47.050). The project addresses a critical gap in current AI weather and climate models: they forecast near-surface conditions accurately but fail to represent the stratosphere and its connection to...
- The National Science Foundation Office of Integrative Activities awarded the University of Maryland, College Park $500,000 on August 1, 2026, to develop a data-centric geoscience foundation model for predicting extreme weather events including floods and droughts. The project will construct an artificial intelligence framework using event-manifold learning that treats each extreme event as a coherent, trackable object with spatial footprint and contextual drivers, rather than isolated data...
The National Science Foundation Office of Integrative Activities awarded the Research Foundation of the City University of New York (doing business as Rfcuny - City College) $349,233 on October 1, 2026, for a collaborative research project on inferring hidden urban flood controls using physics-informed multimodal artificial intelligence. The project develops an AI framework to estimate flood depth and infer hidden drainage and surface-flow controls in urban stormwater systems by extracting information from unstructured flood evidence—reports, photographs, and videos—rather than relying on sparse direct measurement. Focusing on Greater New York, the work establishes flood datasets and physics-based simulation benchmarks; advances geospatial-aware language and vision technologies to estimate flood depth with quantified uncertainty; designs inversion-enabled surrogate flood models that infer latent controls from sparse depth constraints; and analyzes how inferred controls vary across storms, urban forms, and cities. The research supports flood-risk assessment and infrastructure planning while training students and engaging city agencies in understanding urban flooding and artificial intelligence through shared data, software, and educational outreach. Performance runs from October 1, 2026, through September 30, 2029, at New York, NY. The award is issued under the Geosciences program (CFDA 47.050), which supports basic research expanding fundamental knowledge of the integrated Earth system. No sub-awards are planned.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $349.2k | 8/3/26 |