This $2,495,019 project grant from the National Science Foundation (NSF), under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development and deployment of a smart, cloud-connected electrochemical sensor network to monitor drinking water quality in several socioeconomically diverse Massachusetts communities. The University of Massachusetts Lowell will work with community stakeholders and sub-awardees Loyola University Chicago, the Young Women's...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $989,932 to Maia Water Inc. from September 1, 2024 to August 31, 2026 to develop an open, AI-powered software platform for water and wastewater utilities. The platform aims to enhance operational decision-making and facilitate innovative financing for essential water infrastructure by integrating watershed models and forecasting socio-economic...
This $650,000 Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) supports the development of engineered microbial sensors for assessing water quality. The primary objective is to create new low-cost sensing systems that can detect chemicals in water throughout the water cycle, including wastewater treatment, drinking water, industrial use, and stormwater discharges. The project employs a convergence research...
This National Science Foundation (NSF) Project Grant under the Convergence Accelerator program (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $649,984 to the Regents of the University of Minnesota, doing business as the Office of Sponsored Projects Administration, to develop a compact, customizable chemical sensing system integrated with new microsensors and data management/analytics technologies. The goal is to accurately quantify and monitor high-priority water...
The National Science Foundation (NSF) awarded a $300,000 project grant under the Geosciences program (CFDA 47.050) to the Illinois Institute of Technology (IIT) to strengthen urban stormwater infrastructure and improve water quality management in Chicago. The project leverages citizen science approaches to collect hydrological data and engage the public, while also developing a training program to prepare the next generation of engineers, scientists, and advocates to address challenges in...
This $1,143,430 federal Project Grant awarded by 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 across the United States. The University of Arizona is the prime awardee, with no planned sub-awards. The framework will integrate diverse hydrologic datasets, from ground-based observations to remote sensing, to provide a...
This National Science Foundation Project Grant of $263,392 awarded on October 1, 2021 will fund the development of a spatial-temporal predictive framework for the drinking water microbiome through June 30, 2023. Under the NSF Engineering Directorate's Engineering program (CFDA 47.041), the awardee Georgia Tech Research Corporation will establish a long-term observatory to monitor microbiome dynamics in Boston's water distribution system. They will develop novel econometric and ecological...
This federal Project Grant award, valued at $755,416.00, was provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the Regents of the University of Michigan. The objective is to develop and implement a "digital water management system" that enhances coordination among dam operators to optimize water flow and improve ecological outcomes within a watershed. The key research objectives are: 1) investigating the role of social capital in decision-making...
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 $250,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of Virginia. The grant supports the development of new physics-guided graph network models to capture complex, non-stationary, and poorly observed water dynamics in freshwater ecosystems. Key innovations include new graph-based architectures, continual learning strategies, and model initialization methods that leverage...