Featured PI: Nalini Venkatasubramanian and the Smart Water Infrastructure Data Exchange
Nalini Venkatasubramanian, a professor at the University of California, Irvine, has been leading a groundbreaking project that aims to revolutionize the way we manage and maintain our aging water infrastructure systems. Through her work on the Smart Water Infrastructure Data Exchange (SWADE) project, Nalini has demonstrated the power of data-driven approaches and machine learning techniques to tackle some of the most pressing challenges facing water utilities and municipalities.
NSF's Smart & Connected Communities Effort
The NSF S&CC program, started in 2016, supports foundational research to solve complex challenges faced by communities in the 21st century. It focuses on fostering deep collaborations between researchers, local governments, industry, and community…
SCC-LSR: Integrating Probabilistic Digital Twinning and Dynamic Optimization to Enhance EMS Operations
Emergency Medical Services (EMS) are vital to public health and safety, providing life-saving care before patients reach a hospital. Yet EMS systems operate under intense pressure, making rapid decisions about ambulance deployment, dispatch, and transport in the face of constant uncertainty—from unpredictable emergency call volumes to traffic conditions. These decisions are often made using simple, rule-based approaches that can fall short under real-world complexity.
SCC-IRG: Edge AI, Biofabrication, and Data Science for Disaster Preparedness and Community Wellbeing in Hawaii

Communities in Hawaii and similar remote, rural, and austere regions often face dynamic local conditions that can impact public infrastructure and well-being. Events such as sudden changes in water quality or air particulates after a disaster can present significant challenges. Effectively monitoring and responding to these events requires timely, localized data, which is often difficult to obtain with existing infrastructure.

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