Project Grant 2530840
- This $705,374 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research conducted by the University of Maryland Center for Environmental Science (UMCES) to develop deep learning models for predicting the vertical distribution of biogeochemical and physical properties related to marine phytoplankton. The project will leverage satellite data, validated with observations from autonomous ocean floats, to detect signatures of ocean...
- 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...
- This Project Grant award for $529,636 from the National Science Foundation's Geosciences Program (CFDA 47.050) will enable the University of Louisiana at Lafayette to develop innovative artificial intelligence methods to analyze hyperspectral satellite imagery and construct a large-scale database to better understand phytoplankton community dynamics in coastal waters. The key products and services to be delivered include: Establishing a comprehensive database of phytoplankton observations to...
- This $554,004 Project Grant was awarded on October 1, 2025 by the National Science Foundation's Geosciences Program (CFDA 47.050) to the University of Washington. The grant will fund collaborative research to use statistical neural networks to analyze ocean flow cytometry data and reveal patterns in the geographical distribution of phytoplankton and how environmental factors shape these patterns. The research will develop computationally efficient neural network models to automatically...
- This Project Grant award of $592,981 from the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will support collaborative research at the University of California, Santa Cruz (UCSC) to develop advanced machine learning models for analyzing flow cytometry data and mapping the geographic distribution of ocean microbes. The project aims to combine large datasets of flow cytometry measurements with novel neural network models to reveal patterns in the geographical distribution...
- The University of Maryland Baltimore County was awarded a $283,001 project grant from the National Science Foundation Division of Ocean Sciences. The grant supports research titled "Collaborative Research: Exploiting Geomagnetic Records to Describe Past and Present Ocean Variability" from July 15, 2021 through June 30, 2024. The research aims to strengthen understanding of the integrated Earth system through basic research in ocean sciences, as outlined in the National Science...
- The University of Maryland Center for Environmental Science will receive $498,844 from the National Science Foundation under the Geosciences program (CFDA 47.050) to conduct collaborative research from April 1, 2023 through March 31, 2026. The research aims to characterize amino acid nitrogen isotopes in phytoplankton and advance understanding of isotope patterns produced under varying physiological conditions. Researchers will examine whether different phytoplankton species and the same species...
- This $300,785 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports a research project to characterize the chemical composition and bioavailability of dissolved organic matter released by marine nitrifying microorganisms. The project aims to determine how this material contributes to carbon cycling in the deep ocean, which may help improve biogeochemical models and inform potential marine carbon dioxide removal activities. The research will...
- This National Science Foundation Project Grant under the Integrative Activities program (CFDA 47.083) provides $221,015 to the University of New Hampshire from February 2022 to January 2024 to investigate changes in Arctic Ocean phytoplankton and track the vertical export of organic carbon they produce. Working with optical oceanography experts at the Scripps Institution of Oceanography, the University will analyze data from 2010-2021 field campaigns measuring inherent and apparent optical...
- This National Science Foundation Project Grant under the Geosciences Program (CFDA 47.050) provides $734,947 in funding to the University of Rhode Island to conduct collaborative research on the life cycle of phytoplankton blooms in coastal ecosystems. The research team will analyze a unique set of samples and data collected in 2021-2022 to better understand the metabolic, functional, and taxonomic interactions between phytoplankton and associated bacteria that influence the timing and...
This federal Project Grant award from the National Science Foundation's Geosciences program (CFDA 47.050) provides $374,799 to the University of Maryland Baltimore County (UMBC) for a collaborative research project titled "CAIG Deep Learning for Deep Chlorophyll Maxima: Predicting Vertical Distributions of Biogeochemical and Physical Properties". The project aims to leverage satellite data and observations from the Biogeochemical-Argo float network to develop physics-informed deep learning models for detecting signatures of ocean stratification, deep fluorescence, and deep biomass maxima. This will enable improved estimates of phytoplankton biomass, nutrient limitation, and net primary production below the ocean surface. The research will examine these phenomena in sparsely observed ocean basins and develop a novel deep learning pipeline to simultaneously predict multivariate oceanographic data through space, time, and depth. The award period runs from Sep. 1, 2025 to Aug. 31, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $374.8k | 7/16/25 |