A research team used data from low-cost sensors, artificial intelligence and mobility data to improve models that assess human exposure to fine particulate matter (PM 2.5), tiny particles in smoke and other forms of air pollution that can pose health dangers. The models may help public health officials develop strategies for reducing exposure to unhealthy air quality.
