Project Grant 2615769
- 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 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 Office of Integrative Activities awarded Woods Hole Oceanographic Institution $562,811 on September 1, 2026, under the Geosciences program (CFDA 47.050) to analyze long-term oceanographic data from the Ocean Observatories Initiative on the U.S. East Coast and study warming trends on the Northwest Atlantic continental shelf. The recipient will apply machine learning algorithms to glider data from the Pioneer–New England Shelf Array to identify and characterize...
- 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 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 Division of Earth Sciences awarded Woods Hole Oceanographic Institution $499,752 on May 1, 2026, under the Geosciences program (CFDA 47.050) to conduct laboratory experiments testing iron silicate formation pathways in Precambrian iron formations using iron stable isotope geochemistry. The research will simulate three hypothesized formation scenarios by precipitating the iron(II) silicate mineral greenalite under simulated ancient seawater conditions while...
- This Project Grant from the National Science Foundation Division of Ocean Sciences provides $934,762 to Oregon State University under the Geosciences program (CFDA 47.050) from July 15, 2022 to June 30, 2025. The funding supports collaborative research to better understand the geochemistry of neodymium isotopes and rare earth elements in the North Atlantic Ocean and their influence on deep water circulation patterns. The researchers hypothesize that ocean sediments are a major source of...
- This Project Grant award from the National Science Foundation (CFDA 47.050 - Geosciences) provides $199,996 to the Woods Hole Oceanographic Institution to assess the abundance and extinction risk of two rare coral species using artificial intelligence (AI)-powered autonomous underwater vehicles (AUVs). The project will train AUVs equipped with AI to locate and quantify these corals, which are declining globally but occur at such low population densities that human divers cannot adequately...
- The National Science Foundation Division of Ocean Sciences awarded Woods Hole Oceanographic Institution $483,437 on September 1, 2026, under the Geosciences program (CFDA 47.050) to trace iron transport and precipitation in hydrothermal plumes at ocean spreading centers. The recipient will develop and apply a novel triple iron isotope method to quantify the fraction of iron removed as sulfide minerals near hydrothermal vent sites, analyzing samples collected from three vent fields that span a...
- The National Science Foundation Office of Integrative Activities awarded $913,037 to the University of Alaska Fairbanks on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop scalable biological technologies for domestic rare earth element recovery from coal mining waste. The project establishes a smart bio-refinery framework and virtual pilot plant integrating microbiology and artificial intelligence to recover rare earth elements from domestic coal refuse and...
The National Science Foundation Office of Integrative Activities awarded Woods Hole Oceanographic Institution $1,356,482 on September 1, 2026, under the Geosciences program (CFDA 47.050) to predict the distribution of rare-earth element-rich sediment in the Pacific Ocean using artificial intelligence-based geospatial mapping and fish tooth fossil analysis. The project applies machine learning to sediment metal and fish fossil datasets to identify processes that result in high concentrations of rare-earth elements and improve predictions of where rare-earth element-rich deposits occur. The researchers will interrogate variables affecting rare-earth element concentrations, including scavenging from seawater by iron and manganese oxides, incorporation into calcium phosphate minerals such as fossil fish teeth, and the duration sediment layers are exposed to ocean bottom water. The project will employ core-top artificial intelligence-enhanced elemental mapping to determine modern drivers of rare-earth elements in surficial marine sediments and improve fish tooth biostratigraphic dating of red clays through artificial intelligence methods. Complementary statistical approaches will explore relationships between rare-earth element patterns and sediment property datasets to evaluate the null hypothesis that rare-earth element concentrations are randomly distributed on the seafloor through space and time. The project will develop classroom activities addressing deep-sea sediment, marine fossils, and how artificial intelligence supports ocean exploration. Performance occurs at Woods Hole, Massachusetts, with a period of performance from September 1, 2026, through August 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.4m | 8/5/26 |