R1 In-Person: Air Quality Monitoring

The Air We Breathe: Understanding Air Quality Monitoring and Mitigation
One In-Person Session
Thur., Sept. 19, 2024, 6:30-8 pm MT
FREE

Air quality has never been more important, so much so that it has prompted profound concern among scientists, health professionals and environmental organizations all around the world. In this lecture, Dr. Jing Li, a professor of geospatial science at the University of Denver, delves into key aspects of air quality, why it demands our attention, how it can be more effectively monitored and measured, and how science can ultimately improve respiratory health among vulnerable populations. Li begins by exploring air quality monitoring and what the latest data is telling scientists. She then explores the evolution of monitoring techniques, from traditional methods to cutting-edge sensor technologies, including the emergence of mobile sensor devices. She also probes how the integration of air quality data from sensors is creating high-resolution, personalized and real-time air quality information. Next, Li covers case studies that show practical applications of low-cost sensor data collection, personalized air quality exposure assessments and the potential of AI-powered modeling. Attendees are encouraged to engage in in-class activities and discussions, and address potential difficulties in applying data-driven solutions to air quality management. Come away with a better understanding of the complexities of air quality and the innovative strategies to safeguard human health and the environment.

Dr. Jing Li is an associate professor of geospatial science at the University of Denver. Her research focuses on developing novel artificial intelligence methods to address fundamental challenges in big-data driven applications within the geospatial community. Her research has been supported by federal geospatial agencies and leading information technology companies like Microsoft and Amazon.