Project Grant 2616228
- The National Science Foundation Office of Integrative Activities awarded the University of North Carolina at Chapel Hill $257,758 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop an artificial intelligence-driven framework for optimizing coastal management decisions under uncertainty. The award funds research combining geomorphic modeling with reinforcement learning to create an adaptive decision-making framework for barrier island management. The project...
- The National Science Foundation Office of Integrative Activities awarded North Carolina State University $389,206 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop an adaptive decision-making framework combining geomorphic modeling with reinforcement learning to optimize coastal management of barrier islands under uncertainty. The project addresses how uncertainties in human actions and environmental forcing interact to shape barrier island evolution over decades,...
- This National Science Foundation (NSF) Project Grant, awarded under the Geosciences Program (CFDA 47.050), will support collaborative research to transform the understanding of how coastlines respond to shifts in storm climate patterns. The $893,081 award to Duke University, with a project period from August 2024 to July 2027, will develop new approaches to downscale global climate model outputs to forecast the waves and winds affecting specific coastlines, such as the Carolina coastline. This...
- The National Science Foundation Office of Integrative Activities awarded Northeastern University $435,082 on October 1, 2026, under the Geosciences program (CFDA 47.050) to develop artificial intelligence tools that estimate nearshore bathymetry, waves, and currents from remote sensing data. The project, titled "Collaborative Research: CAIG: Transforming Understanding and Prediction of Nearshore Processes via AI-Powered Simultaneous Mapping of Bathymetry, Waves, and Currents," will...
- This National Science Foundation project grant of $179,999 will support computational modeling to characterize uncertainty in future coastal risk through August 2024. Funded under the Mathematical and Physical Sciences program, the award to Rochester Institute of Technology aims to examine how coastal areas can mitigate damages from sea-level change and coastal flooding. The grantee will develop software and conduct computer model experiments to assess uncertainty in geophysical and...
- The National Science Foundation Office of Integrative Activities awarded North Carolina State University $800,013 on October 1, 2026, for a collaborative research project applying physics-informed deep learning to understand and predict coastal hypoxia formation mechanisms, particularly the summer dead zone along the Louisiana-Texas shelf. The project develops a multi-architecture physics-informed neural network framework integrating U-Net and DeepLabV3+ semantic-segmentation networks to map...
- The National Science Foundation Office of Integrative Activities awarded Duke University a $499,661 project grant under the Geosciences federal grant program (CFDA 47.050) to conduct the "SALTWATER INTRUSION AND SEA LEVEL RISE IN RURAL LANDSCAPES: ASSESSING RISK AND IDENTIFYING MITIGATION AND ADAPTATION OPTIONS FOR RURAL COASTAL PLAIN COMMUNITIES" research project from August 15, 2021 to July 31, 2024. The grant will fund Duke University researchers to assess risks from saltwater...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Duke University $357,823 on September 1, 2026, for collaborative research on artificial intelligence-enabled decision support for rate setting and infrastructure investment in decentralized water utilities under drought conditions. The research develops integrated models that trace feedback mechanisms among water supply, household demand, and utility finances to improve how local water utilities...
- The National Science Foundation Office of Integrative Activities awarded the University of Alabama $1,309,231 on January 1, 2027, under the Geosciences program (CFDA 47.050) to investigate how marine heatwaves influence rapid intensification of tropical cyclones and resulting compound coastal flooding hazards. The project develops Bayesian deep learning methods and physics-informed artificial intelligence integrated with numerical models to quantify predictive uncertainty and enable...
- The National Science Foundation Division of Ocean Sciences awarded Woods Hole Oceanographic Institution $699,975 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop a physics-informed artificial intelligence method for estimating seafloor topography in coastal surf zones using remotely sensed drone imagery and surface current observations. The research addresses the limitation that accurate seafloor depth measurements are difficult to obtain during coastal storms, which...
The National Science Foundation Office of Integrative Activities awarded Duke University $237,642 on August 15, 2026, under the Geosciences program (CFDA 47.050) to develop an artificial intelligence-driven framework for optimizing coastal management decisions under uncertainty. The project combines geomorphic modeling with reinforcement learning to create an adaptive decision-making framework that examines how barrier islands evolve under multiple sources of uncertainty, including both human actions and environmental forcing. The research team will characterize how different uncertainty sources influence projected barrier island futures under static decision-making, employ reinforcement learning to guide adaptive decisions within the geomorphic model, and develop methods to quantify the relative importance of uncertainty sources. The methods are intended to generalize to management of any coupled human-natural system structured as a sequential decision-making problem, with applications to coastal resilience across the United States. Performance occurs in Durham, North Carolina, with a period of performance through July 31, 2029. No subawards are planned for this award. The assistance type is a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $237.6k | 8/14/26 |