Webinar Series: Data Science in Action in Response to the Outbreak of COVID19

COVID-19: Analytic studies and opportunities for outside of epidemiology

Speaker

Dr. David Corliss,  Founder and Director, Peace-Work

Abstract

Like all pandemics, COVID-19 has many dimensions. Beyond the medical crisis, research is being conducted in a wide variety of disciplines.This has created many opportunities for statisticians and data scientists to contribute in areas outside of medicine and public health. This presentation gives an overview of some of the different areas where statisticians and data scientists are getting involved in the COVID-19 response, including economic impacts, sociological effects, supporting local schools and government, fact-checking, and the way we live and work.

Bio

With a background in statistical astrophysics, David Corliss leads an analytic team in industry with more than 20 years experience, especially time series methods in marketing and econometrics. He is active in the American Statistical Association, serving as Vice Chair of the steering committee of the Conference on Statistical Practice and writing Stats4Good, a monthly column on Data For Good for Amstat News. Dr. Corliss is the Founder and Director of Peace-Work, a volunteer cooperative of statisticians and data scientists providing analytic support for charitable groups and applying statistical methods to issue-driven advocacy in Data For Good projects.

Organizing Committee

Kun Chen, University of Connecticut 
Jing Cheng, University of California San Francisco 
Di Cook, Monash University 
Jun Yan (Co-Chair), University of Connecticut 
Hao Helen Zhang (Co-Chair), University of Arizona