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.