Project Grant 2530349
Award Date
10/1/25
Completion Date
9/30/28
Dollars Obligated
$871K
Federal Agency
Office of Integrative Activities
Federal Grant Program
47.050
Assistance Type
Project Grant
Place of Performance
Woods Hole, Falmouth, MA, USA
Similar Awards
This Project Grant awarded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050) will provide $118,725 to Pacific Lutheran University (PLU) from October 1, 2025 to September 30, 2028. The project will develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple autonomous underwater vehicles (AUVs) to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate spatiotemporal variability 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 (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...
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 $818,396 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) will develop a multi-agent AI system of three bio-inspired underwater vessels and a control buoy. The goal is to enhance understanding of hydrodynamics and control of multi-swimmer systems, advance the theory and practice of programmable underwater networks, and enable effective survey of coastal zones. Key deliverables include: (A) three bio-inspired robotic fish...
This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $612,291 to the University of California, Davis (UC Davis) to develop a sophisticated artificial intelligence (AI) system to analyze satellite measurements and high-resolution ocean model outputs. The goal is to detect and measure ocean fronts, which are boundaries between water masses with different properties, and estimate the heat content of the ocean's upper mixed layer. The...
This Project Grant award, valued at $187,492.00 and funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to design a cyber-physical system (CPS) comprising networked autonomous underwater vehicles (AUVs) to perform machine learning (ML)-assisted identification of marine plumes. The key objectives of this project are to: (1) develop multi-fidelity numerical models of multiphase plumes to understand their current...
This Project Grant award of $599,960 from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to the University of Florida aims to develop improved navigation capabilities for cost-effective mobile robot sensor platforms to better explore and monitor dynamic underwater environments. The research will leverage artificial intelligence and machine learning techniques to enhance the long-term autonomy and intelligence of these underwater vehicles,...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $294,759 to Submarine Scientific LLC to develop an advanced ocean modeling platform that integrates GPU-optimized modeling software with AI tools. The goal is to automate the configuration, validation, and analysis of regional ocean models for marine carbon dioxide removal (MCDR) applications. The platform aims to reduce the cost and complexity of ocean...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Michigan to develop new capabilities for marine robotic systems to autonomously map, visualize, and navigate underwater environments. The project will leverage innovative machine learning methods to fuse acoustic and visual data from the robots, enabling improved mapping and localization in...