This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) provides $349,993 to the University of Pittsburgh to develop new physics-guided graph network models for improved modeling of water dynamics in freshwater ecosystems. The project aims to: 1) create new graph-based architectures to model the complex nature of physical objects and dynamic interactions between physical...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to Florida Atlantic University under the CFDA Program "Computer and Information Science and Engineering" with a period of performance from July 15, 2023 to June 30, 2026. The grant supports a collaborative research project to develop a new framework for "Open-World and Streaming Network (OWSN) Learning" that can effectively process and model evolving graph data from applications like hydrology,...
This Project Grant award for $371,679, provided by the National Science Foundation (NSF) Geosciences Program (CFDA 47.050), will support research and educational initiatives focused on understanding dynamic landscape connectivity and its impact on water resources. The project, titled "CAREER: Dynamic Connectivity: A Research and Educational Frontier for Sustainable Environmental Management under Climate and Land Use Uncertainty", will leverage high-frequency aquatic sensors, deep...
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...
The National Science Foundation awarded a $405,445 Project Grant to Virginia Polytechnic Institute & State University under the Engineering federal grant program (CFDA 47.041). The grant will support research and education activities from August 2022 through July 2027 aimed at advancing water sustainability and economic resilience through an integrated systems approach. Specifically, the university will conduct research and provide educational opportunities to better understand climate...
This $500,000 Project Grant awarded by the National Science Foundation's (NSF) Geosciences Program (CFDA 47.050) will fund the development of a real-time forecasting system to predict water quality in three drinking water reservoirs in Appalachia. Researchers at Virginia Polytechnic Institute & State University (Virginia Tech) will create an integrated catchment-reservoir model that couples terrestrial and freshwater ecosystem processes to predict how changing Earth system hazards, such as...
This $2,646,047 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is developing a national integrated watershed evaluation framework to improve water resource management. The framework will bring together diverse hydrologic datasets and provide tools for advanced model evaluation and exploration of watershed conditions. The project, led by Princeton University, will engage a diverse community...
The National Science Foundation (NSF) awarded a $299,973 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the Rector & Visitors Of The University Of Virginia (UVA), doing business as University of Virginia. The grant, titled "COLLABORATIVE RESEARCH: OAC CORE: DISTRIBUTED GRAPH LEARNING CYBERINFRASTRUCTURE FOR LARGE-SCALE SPATIOTEMPORAL PREDICTION", aims to develop a comprehensive set of graph construction and...
The National Science Foundation (NSF) awarded a $523,014 Project Grant under the Geosciences program (CFDA 47.050) to the University of Massachusetts (UMass) to develop computational models of global carbon dioxide (CO2) fluxes from inland waters. The research aims to provide robust, physically-constrained estimates of CO2 emissions from rivers, streams, lakes, and reservoirs by coupling hydrologic and hydraulic routing systems with a stream network CO2 model. The project will validate the...
The National Science Foundation (NSF) awarded a $315,641 Project Grant to the Rector & Visitors of the University of Virginia through the Geosciences program (CFDA 47.050) to support the "GLOW: Sequencing Rivers with Machine Learning and Bioinformatics" research project. This five-year effort will adapt computing methods from speech recognition and DNA sequencing to analyze over 100,000 river meander bends and test whether their geometric shapes can be classified into a...