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