COPSS-NISS COVID-19 Data Science Webinar Series

About this Webinar Series

The COPSS-NISS COVID-19 Data Science webinar series is co-organized by the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as NISS.  This twice a month webinar (1st and 3rd Thursday at noon EST) features the latest research that is positioned on the cusp of new understanding and analysis of COVID-19 pandemic data and promotes data-driven research and decision making to combat COVID-19.

Schedule

December 3, 2020 - The Statistics of COVID-19 Vaccine Trials
December 17, 2020 - An Ecosystem for Tracking and Forecasting the Pandemic

more coming soon!

Webinar Series Sponsors

The American Statistical Association (ASA)
The Committee of Presidents of Statistical Societies (COPSS)
Eastern North American Region of the International Biometric Society (ENAR)
Institute of Mathematical Statistics (IMS)
The National Institute of Statistical Sciences (NISS)
The Statistical Society of Canada (SCC)
Western North American Region of the International Biometric Society (WNAR)

Call for Contributions

The organizing committee is in the process of identifying topics and/or speakers to present as part of this webinar series. Please feel free to contact a member of the organizing committee with your ideas or suggestions.
 

Organizing Committee

Xihong Lin (Chair) (IMS), Harvard University 
Karen Bandeen-Roche (NISS), Johns Hopkins University 
Chris Barker (ASA), Statistical Planning and Analysis Services, Inc
Gary Chan (WNAR), University of Washington 
Rob Deardon (SSC), University of Calgary 
Natalie Dean (COPSS), University of Florida
Debashree Ray (COPSS), Johns Hopkins University
Jie Peng (WNAR), University of California at Davis 
Nathaniel Stevens (SSC), University of Waterloo 
Elizabeth Stuart (ENAR), Johns Hopkins University 
Ryan Tibshirani (IMS), Carnegie Mellon University  
Lily Wang (ASA), Iowa State University 
Lingzhou Xue (NISS), Pennsylvania State University
Lili Zhao (ENAR), University of Michigan 
Glenn Johnson (Web Communications), NISS