Project Grant 2530564
- The National Science Foundation (NSF) awarded a $899,998 Project Grant to The Ohio State University under the Geosciences program (CFDA 47.050) to develop novel artificial intelligence (AI) tools that simulate wetland processes in Earth system models. The three-year project (10/1/2025 - 9/30/2028) aims to create AI models to: 1) integrate mass balance and biochemical kinetics to predict wetland inundation and nutrient transport, 2) simulate wetland flow connectivity using graph neural...
- This $300,000 federal Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports research to enhance the resilience of groundwater resources in major U.S. agricultural regions through a participatory planning approach. The project team at Southern Illinois University, with sub-awards to Iowa State University and the University of Nebraska, will develop an AI-based modeling system to empower farming communities in addressing groundwater depletion and...
- The National Science Foundation awarded a $254,976 Project Grant to Resbonds International Corporation through the Engineering program (CFDA 47.041) to develop a digital platform for assessing water quality at urban-watershed interfaces. The platform will integrate physical data from advanced monitoring systems with artificial intelligence to serve as a scalable analytics platform using environmental, economic, and social data. It aims to help cities and utilities finance infrastructure projects...
- This Project Grant award, provided by the U.S. Geological Survey (USGS) under the Assistance to State Water Resources Research Institutes program (CFDA 15.805), will fund the development of an AI-driven Hydrologic Analysis and Communication Hub for enhanced water resource management in Iowa. The $485,717 award to Iowa State University of Science and Technology will integrate cutting-edge AI and machine learning technologies with existing hydrologic data and models to create a sophisticated,...
- The National Science Foundation (NSF) Geosciences program (CFDA 47.050) has awarded a $500,000 project grant to the University of Maryland, College Park (UMD) for "Collaborative Research: CAIG: Reliable Generative Downscaling for Geoscience Data". The project aims to develop a transformative AI-based framework to generate high-fidelity, physically consistent, and uncertainty-calibrated geoscience data that can enable better decision-making for disaster preparedness, emergency response,...
- This $299,939 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to accelerate innovation in water resources research by building the OpenGHM platform. This computational system will leverage existing NSF-supported computing resources to enable scientists to directly access data, models, and surrounding workflows on efficient cloud-based storage systems. The objective is to solve challenges to...
- This National Science Foundation (NSF) Project Grant award under the Geosciences program (CFDA 47.050) provides $383,203 to the University of Pittsburgh to develop a machine learning-based "emulator" that can efficiently predict water isotope patterns from climate model data. The goal is to enhance climate scientists' ability to utilize water isotope data, which acts as a natural recorder of past climate conditions, to evaluate and improve global climate models. This...
- This $1,324,092 project grant, awarded by the National Science Foundation's Geosciences program (CFDA 47.050) to Florida International University (FIU), establishes the South Florida Coastal Environmental Data and Modeling Center. The center will focus on developing AI/ML techniques for understanding and predicting key processes affecting coastal environments in Southeast Florida, with an emphasis on addressing challenges like flood damage, sea-level rise, urban flooding, water quality, and...
- This $113,389 National Science Foundation Project Grant, awarded under the Engineering program (CFDA 47.041), will fund research at the University of Alabama from February 2022 to January 2025 to develop integrated drought management strategies for the Upper Colorado River Basin. The research team will evaluate the economic and environmental impacts of droughts on agricultural and urban communities under current water management practices. They will also develop and assess alternative drought...
- The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program awarded a $299,957 project grant to the University of Texas at Arlington (UTA) to develop a user-interactive approach to water management for sustainable data centers. The 3-year project, which began on Sep 15, 2023, aims to: Create a fair and accurate water accounting system for data centers at both the user and facility levels; Develop a scalable user-interactive resource management approach...
The National Science Foundation's Geosciences Program (CFDA 47.050) awarded a $1,016,594 Project Grant to the University of Alabama for the development of AI-guided water management systems to support the expansion of AI infrastructure across the United States. The 3-year project will deliver three main technical components: An AI-driven hydrologic model to analyze geospatial data and identify regions with adequate water resources to support AI infrastructure growth. Digital twins for selected sites to enable scenario analysis and understand the potential impacts of natural hazards and water availability fluctuations. A fractional-calculus based modeling framework to assess environmental impacts, such as wastewater and thermal pollution, associated with AI data centers. The project aims to provide practical guidance on water management and sustainability, develop new graduate courses integrating AI and geoscience, and support three graduate student researchers.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $1.0m | 7/17/25 |