Clean air is fundamental to our health. Air pollution has a similar burden of disease to unhealthy diets and smoking, according to the World Health Organization. It is associated with non-communicable diseases such as ischemic heart disease, stroke, chronic obstructive pulmonary disease, and asthma, even with a variety of cognitive impacts, as well as the substantial associated economic cost.
It is crucial to provide air quality observations at the neighborhood level to address this issue. Prof. David Lary and his multi-disciplinary team in MINTS at UT Dallas are tackling this issue from multiple perspectives. First, deploying a network of affordable sensors across DFW, calibrated against reference sensors, to detect the pollution causing disease. Secondly, by using remotely sensed data from satellites and weather radars along with machine learning at scale to deliver real-time maps of air quality.
To learn more about this research, join the Research 411 Talk Show: Sensing in Service of Society using this link at 3 PM on Wednesday, March 30th, 2022.