Project Grant 2615516
- The National Science Foundation Office of Integrative Activities awarded the University of Rhode Island $332,242 on January 1, 2027, to develop artificial intelligence–powered tools that predict marine snow composition from underwater imagery, with performance through December 31, 2029, under the Geosciences program (CFDA 47.050). The project addresses the gap between camera-based particle detection and compositional analysis of sinking marine particles. Researchers will build an interpretable...
- The National Science Foundation (NSF) awarded a $320,000 Project Grant under the Geosciences Program (CFDA 47.050) to the University of Delaware. The funding will support collaborative research to empower artificial intelligence (AI) to reveal phytoplankton community dynamics in coastal oceans. The project aims to address the scarcity of in-situ data for estuarine-coastal phytoplankton by constructing a large-scale database of phytoplankton observations, enabling global data sharing. It will...
- 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 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 Division of Ocean Sciences awarded the Regents of the University of Minnesota $648,690 on August 1, 2026, under the Geosciences program (CFDA 47.050) to develop physics-informed artificial intelligence methods for estimating seafloor topography in coastal surf zones using drone-based camera imagery and surface flow observations. The project addresses a critical gap in measuring seafloor depth during and after coastal storms, where rapid morphological change limits...
- Federal Grant Award Summary The National Science Foundation's Office of Integrative Activities awarded $871,084 to Woods Hole Oceanographic Institution under the Geosciences program (CFDA 47.050) effective October 1, 2025, through September 30, 2028. This collaborative research project develops an innovative observing system that integrates artificial intelligence with multiple autonomous underwater vehicles (AUVs) to characterize three-dimensional flow structures in tidally-driven coastal...
- The National Science Foundation (NSF) awarded a $536,577 Project Grant under the Geosciences program (CFDA 47.050) to the University of California, Santa Cruz (UCSC) to develop an innovative Artificial Intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The project aims to detect and measure ocean fronts - boundaries between water masses with different properties - and estimate the heat content of the ocean's upper mixed layer. The researchers plan...
- This $399,162 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) aims to develop interpretable, stable, and mass-conserving artificial intelligence (AI) models to improve the computational speed and efficiency of geoscientific models, such as those used for air pollution and climate research. The project will create simpler "surrogate" machine learning models for key components like atmospheric chemistry and wildfire plume rise, allowing for...
- The National Science Foundation Office of Integrative Activities awarded Rutgers, The State University $1,086,074 on September 1, 2026, under the Geosciences program to develop artificial intelligence methods for understanding marine food webs through modeling of predator-prey interactions. The project will create an AI-enabled framework that integrates oceanographic and species data from heterogeneous sources to study North Atlantic right whales and their zooplankton prey, accounting for...
- The National Science Foundation Office of Integrative Activities awarded the University of Maine System $465,907 on August 1, 2026, to acquire a Fourier Transform Infrared (FTIR) microscope for microplastics identification and measurement research under the Integrative Activities program (CFDA 47.083). The FTIR microscope will deliver high-resolution chemical imaging and rapid identification of microplastic particles in water, snow, ice, soils, sediments, food products, and biological tissues....
The National Science Foundation Office of Integrative Activities awarded the University of Maine System $699,907 on January 1, 2027, to develop an interpretable artificial intelligence framework that predicts the chemical composition of sinking marine particles (marine snow) from underwater camera imagery. The award is made under the Geosciences program (CFDA 47.050), which supports fundamental research in atmospheric, earth, and ocean sciences. The project will build AI-powered computer vision tools to infer particle composition from visual characteristics such as shape and transparency, moving beyond black-box processing to link predicted masks with specific morphological prototypes. Key deliverables include developing a prototype-driven instance segmentation model with multi-output regression and a fusion model integrating environmental metadata. The research team will analyze data from six major oceanographic field campaigns to validate assemblage-based predictions against single-particle metrics and will conduct a human-in-the-loop interpretability audit to refine model logic in alignment with domain expertise. The project will quantify microplastic particles to advance understanding of pollutant transport through marine food webs. The work supports graduate student training in AI and oceanography and will produce a blueprint for interpretable computer vision tools applicable to ecology and medicine. Performance takes place in Orono, Maine, with a period of performance from January 1, 2027, through December 31, 2029. The award is classified as a Project Grant.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $699.9k | 8/3/26 |