Project Grant 2622226
- 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 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 Information and Intelligent Systems awarded the University of Miami $399,999 on February 1, 2026, for a collaborative research project developing artificial intelligence methods to detect anomalies in urban wastewater and water networks. The project creates a computational framework combining machine learning, graph-based modeling, and multimodal data integration to organize fragmented water infrastructure data and identify leaks, blockages, and...
- 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 Civil, Mechanical, and Manufacturing Innovation awarded Auburn University $207,623 as a project grant effective October 1, 2026 through September 30, 2029 under the Engineering program (CFDA 47.041). The award funds research to develop computational methods, models, and control strategies for safely and efficiently restoring drinking water systems after mains repair, replacement, or network expansion. The research will create physics-based models...
- This $107,246 project grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation will fund the "Collaborative Research: Water and Health Infrastructure Resilience and Learning (WHIRL)" project at North Carolina State University. The project aims to enhance understanding of the interactions between drinking water and public health systems and how these critical infrastructure systems adapt to challenges. It will investigate how the public...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana State University $425,998 on September 1, 2026, to develop AI-enabled digital twins for predicting and managing cascading disruptions in freshwater infrastructure systems under the Engineering program (CFDA 47.041). The research advances three primary directions: enabling AI-driven predictive digital twins for small and mid-sized freshwater infrastructure systems; developing...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Vanderbilt University $316,475 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop computational methods for modeling and controlling multiphase air-water flow during the refilling of drinking water transmission mains and distribution networks after repairs and construction. The research will formulate computationally efficient models capturing dominant physical mechanisms...
- 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...
- This $200,000 National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation project grant, awarded to Purdue University, aims to develop approaches for the joint operation of coupled municipal drinking water and electric power distribution networks. The key products and services to be delivered through this 3-year project include: Developing operational planning and real-time control strategies for these coupled water-power networks under uncertainty. Designing...
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 plan and finance infrastructure renewal and expansion through water rates. The project uses large language models to extract investment and financial variables from unstructured utility planning documents, then applies supervised machine learning models to analyze the coupled dynamics between drought conditions, rate-setting decisions, and household water demand. The researchers will document how hundreds of local utility decisions aggregate through shared supplies and conveyance systems to shape large-scale reliability and regional performance, addressing a gap in empirical evidence and decision-support tools that currently do not capture end-to-end feedback effects. The award supports an integrated team of economists and engineers. Performance of work occurs in Durham, North Carolina, with a period of performance from September 1, 2026, through August 31, 2029. This is a project grant under NSF's Engineering program (CFDA 47.041).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $357.8k | 8/14/26 |