Georgia Tech Spring Course Offering: Public Health Analytics

Georgia Tech Spring Course Offering: Public Health Analytics

CP 8853: Special Topics in GIS (3 credits)

Friday 2-4 PM

The course presents students with a comprehensive socioecological framework of metrics and methods used in healthy places research and practice. The course focuses on measuring the three key functional domains of healthy communitiesโ€” 1) the physical environment, 2) social environment and 3) access to healthcare. A variety of analytical techniques including spatial methods and applied statistics will be used. The methods taught in the course are widely applicable to various industrial and research contexts outside of Public Health as well. Students will learn how to execute the entire life-cycle of a data analytics project including problem formulation, data preparation, exploratory analysis, modeling and visualization.


About the Instructor:
Dr. Arthi Rao, Research Scientist at the Center for Quality Growth & Regional Development, has an interdisciplinary educational and professional background in Urban Planning, Epidemiology and Geographic Information Systems (GIS) and is a certified GIS professional (GISP). Dr. Raoโ€™s portfolio includes a focus on social/spatial analytics, equity and access as applied to healthy communities research and practice. She uses methods including spatial clustering, data mining/classification techniques and multilevel modeling in her research. She has integrated these methods to create decision-support tools for academic and industrial applications. Most recently she has served as a PI on multiple GA Smart Communities Challenge grants and is currently the Co-PI for the National African American Child and Family Research Center in partnership with the Morehouse School of Medicine, providing students with opportunities to engage with analytics on the forefront of social equity and healthy communities research.


Contact information:
Email: arthir [at] gatech [dot] edu
Office: 760 Spring Street Suite 213
Phone: (404) 385 5123


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