This project, jointly funded with the Institute of Diversity Sciences, explores food access and affordability across Massachusetts. A multidisciplinary team is creating a geospatial model that combines food pricing, transit routes, and income data to reveal where healthy food is realistically accessible. By adding community interviews to the data, the project highlights hidden barriers and aims to inform smarter policies in transit, urban planning, and food assistance.

This interdisciplinary team is developing accessible and cost-effective AI-driven tools for the early detection of ADRD—a group of progressive, underdiagnosed neurodegenerative conditions.

This project uses wearable sensors and real-time data analytics to study nurse stressors in dynamic hospital environments.