A&S CREATES Presents: Data Science for Air Quality Policy: Setting National Standards and Health Impacts of Power Plants

Evaluating air quality policies draws from data science methodology spanning multiple disciplines, including statistics, atmospheric modeling, and epidemiology.  This talk outlines two ways in which these types of methods are changing the technology for evaluating air quality policies in the U.S. First, an outline of how science is integrated towards setting of National Ambient Air Quality Standards will highlight how statistical methods for causal inference have emerged at the forefront of policy debates.  Then the talk turns focus to evaluating the health impacts of pollution from coal power plants, outlining how statistical methods research evolved into the development of a novel computational air quality model that ultimately produced new evidence of the health burden associated with coal-fired electricity generation.  This array of research topics is offered as one demonstration of how an interdisciplinary research program anchored to data science can advance public health science and impact.  

Learn more about A&S CREATES here. This event is co-sponsored by TRIADS.

Light refreshments will be provided before the seminar from 3:30pm-4pm. The seminar will take place from 4pm-5pm, with a Q&A from 5:00pm-5:30pm.