Project Grant 2620846
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Marshall University Research Corporation $122,169 on September 1, 2026, to conduct collaborative research on AI-enabled digital twins for resilient freshwater infrastructure and communities facing cascading hazards under the Engineering program (CFDA 47.041). The research advances predictive modeling for small and mid-sized freshwater infrastructure systems by developing AI-driven digital twins...
- 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 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 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 awarded Louisiana State University $302,955 on September 1, 2026, under the Integrative Activities program (CFDA 47.083) to develop a systematic measure of AI-mediated appropriability risk—the extent to which a field's open scientific record, combined with frontier AI capabilities, allows outsiders to predict and potentially preempt near-term research outputs. The project addresses three connected research questions. The team develops a measurement instrument...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana State University $586,625 on January 1, 2027, under the Engineering program (CFDA 47.041) to conduct research on hurricane surge, wave, and debris-induced forces affecting non-stationary urban shorelines. The research establishes a new direction to understand how building damage from hurricane storm surge affects flooding and forces on remaining coastal structures in urban areas. The...
- The National Science Foundation awarded Trustees of Tufts College $1,149,014 on June 1, 2026, under the NSF Technology, Innovation, and Partnerships program to develop and deploy a hybrid digital twin framework for levee monitoring and risk assessment. The project delivers a physics-based and machine-learning integrated modeling system that provides near real-time, probabilistic predictions of levee performance. The framework simulates key failure mechanisms—seepage, slope instability, and...
- 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...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Louisiana TECH University $185,210 on June 1, 2026, for research developing adaptive and explainable anomaly detection methods in multivariate time series data under changing operating conditions. The project, funded through the Engineering program (CFDA 47.041), will create a unified framework formulating anomaly detection as a reinforcement learning-based sequential decision-making process....
- The National Science Foundation Division of Undergraduate Education awarded Louisiana State University $744,660 on October 1, 2026, under the STEM Education program (CFDA 47.076) to develop and study a digital twin-integrated learning platform for undergraduate students in architecture, engineering, and construction. The project will design, implement, and assess learning modules that use digital twins—data-enriched virtual representations of real systems—to cultivate holistic and systems...
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 cyber-physical-social models that connect infrastructure performance with community exposure and human response; and creating socio-technical decision-support methods for evaluating service-disruption mitigation strategies under uncertainty. The work reframes freshwater infrastructure—including intakes, treatment facilities, storage assets, distribution networks, and sensing platforms—as an adaptive cyber-physical-social system in which infrastructure dynamics, real-time sensing, artificial intelligence, institutional decisions, and community experience interact. Current utility practices rely on monitoring systems, historical records, and reactive emergency protocols that provide limited ability to anticipate how local anomalies escalate into broader service disruptions across connected infrastructure and service networks. Period of performance runs from September 1, 2026, through August 31, 2029. Work is performed in Baton Rouge, Louisiana.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $426.0k | 8/11/26 |