Project Grant 2618864
- 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...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the Regents of the University of Michigan $304,793 on August 1, 2026, for a Project Grant under the Engineering program (CFDA 47.041) focused on data-driven agentic artificial intelligence for trustworthy design of autonomous engineered systems. The award funds development of computational and data-enabled approaches to multidisciplinary design optimization. The project addresses the...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded a $232,720 Project Grant to the University of Michigan Office of Research and Sponsored Projects to support research titled "COLLABORATIVE RESEARCH: UNDERSTANDING URBAN RESILIENCE TO PLUVIAL FLOODS USING REDUCED-ORDER MODELING." The award period runs from February 1, 2022 through January 31, 2025. Under this award, the University of Michigan will conduct research to improve understanding...
- Federal Grant Award Summary The University of Michigan received a $440,888 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective January 1, 2026 through December 31, 2028. This award supports research on optimization, risk management, and adaptation frameworks for integrated infrastructure systems—including energy, transportation, water, and telecommunications networks—under...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Duke University $357,823 on September 1, 2026, for collaborative research on artificial intelligence-enabled decision support for rate setting and infrastructure investment in decentralized water utilities under drought conditions. The research develops integrated models that trace feedback mechanisms among water supply, household demand, and utility finances to improve how local water utilities...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded $214,026 to University of California, Davis on September 1, 2026, under the Engineering program (CFDA 47.041) to develop AI-enabled decision support models for water rate setting and infrastructure investment in decentralized utilities operating under drought conditions. The research integrates economics and engineering to close knowledge gaps in how local water utility decisions on rates and...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded the Regents of the University of Michigan $296,993 on February 15, 2026, under the Engineering program (CFDA 47.041) to develop explainable deep-learning methods for predicting and controlling cavitation in turbulent flows. The work integrates high-fidelity first-principles simulations with artificial intelligence to model vapor-bubble formation and evolution in cavitating flows,...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded Clemson University $549,922 on August 15, 2026, under the Engineering program (CFDA 47.041) to develop statistical tools and hydrologic models that quantify shifts in the magnitude and timing of extreme hydrological events such as floods and drought, identify the direction of change, and determine underlying mechanisms driving these shifts. The project will produce open-source...
- The National Science Foundation Division of Information and Intelligent Systems awarded Florida International University $200,000 on February 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research to develop artificial intelligence methods that integrate and interpret fragmented urban water and wastewater network data. The project will create a computational framework combining machine learning, graph-based modeling, and multimodal...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded the University of Delaware $524,630 on September 1, 2026, to develop an artificial intelligence and machine learning-accelerated decision framework for evaluating and optimizing decentralized stormwater management portfolios under changing environmental conditions. The project, funded under the CAREER program (NSF Engineering, CFDA 47.041), addresses stormwater systems strained by heavier...
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded Regents of the University of Michigan $385,737 on January 1, 2026, under the Engineering program (CFDA 47.041) to develop artificial intelligence and data mining decision support tools for forecast-informed reservoir system operations. The project develops an integrated solution accounting for spatial and temporal variability of precipitation and its uncertainty, and a novel AI and data mining decision support tool enabling reservoir operators to use ensemble forecasts to develop adaptive water release strategies. The work addresses operational challenges posed by floods, droughts, and abrupt weather extremes by providing dam operators with accurate hydrological forecasts at extended lead times (days to months) and powerful adaptive decision tools that incorporate engineering constraints and hydroclimatological forecast scenarios into flexible release planning. The research targets improved response to and mitigation of challenges from changing climate and frequent natural hazards affecting the nation's reservoir systems. Performance is based in Ann Arbor, Michigan, with a period of performance from January 1, 2026, through August 31, 2028. The work is funded as a Project Grant through the University of Michigan's Office of Research and Sponsored Projects Division.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $385.7k | 3/6/26 |