Project Grant 2616229
- 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...
- 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 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...
- 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...
- The University of North Carolina at Chapel Hill will conduct collaborative research on combined waves and currents over multi-scale topography from September 1, 2021 to August 31, 2024 through a $313,734 Project Grant from the National Science Foundation Division of Ocean Sciences. Under the grant, UNC-Chapel Hill will investigate boundary layer dynamics and parameterization to strengthen understanding of the integrated Earth system, as outlined in the objectives of the NSF's Geosciences program...
- The National Science Foundation Division of Ocean Sciences awarded the University of North Carolina at Chapel Hill $750,000 on August 1, 2026, under the Geosciences program (CFDA 47.050) to conduct collaborative research examining how biogeographic barriers affect range shifts in marine fish populations. The research combines statistical modeling of species distributions, physiological experiments, and a field campaign across the Mid-Atlantic Bight on the U.S. continental shelf, focusing on an...
- This $134,207 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund collaborative research to transform the scientific community's understanding and forecasting of coastline changes in response to shifting storm climates and sea-level rise. The project will develop new techniques to downscale global climate model outputs to produce detailed forecasts of the winds, waves, and water levels affecting specific coastlines, such as the Carolina...
- 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 North Carolina State University $469,380 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop an integrated macrogeomorphic reconstruction framework linking landscape evolution to critical mineral provenance along the North Carolina coastal plain. The award supports three primary activities: developing a computer-based basin modeling workflow to reconstruct long-term landscape evolution along the...
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 characterizes how different sources of uncertainty influence projected barrier island futures, employs reinforcement learning to guide adaptive decision-making in geomorphic models, and develops methods to quantify the relative importance of uncertainty sources through analysis of reinforcement learning outputs. The framework addresses how interactions among uncertainties manifest as changes in hazard risk and landscape shape over time, informing improved coastal management strategies across the United States in response to sea-level rise and storm-driven hazards. The methods are generalizable to any coupled human-natural system structured as a sequential decision-making problem. Work is performed in Chapel Hill, North Carolina, with a period of performance from award date through July 31, 2029. The assistance type is a project grant. No subawards are planned.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $257.8k | 8/14/26 |