We are very pleased to announce the COPSS-NISS COVID-19 Data Science webinar series, which is co-organized by seven statistical societies and organizations, including the Committee of the Presidents of Statistical Societies (COPSS) and its five charter member societies (ASA, ENAR, IMS, SSC, and WNAR), as well as National Institute of Statistical Science (NIS)S. This bi-weekly webinar series, which is held on Thursdays 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.
A wide range of topics will be covered, including contact tracing, scientific communication, COVID-19 data, epidemic model and forecasting, intervention and policy making, misinformation, testing, treatments, vaccine trials and distribution, and viral and host genomics. The talks will be delivered by a diverse group of interdisciplinary speakers. Audience will be engaged in interactive conversations and discussions. Please visit the webinar series website for more information.
The first webinar will kick off on December 3, Thursday at noon (EST) on Statistics of COVID-19 vaccine trials: David Benkeser, Emory University (speaker, “At warp speed: Statistics and COVID-19 vaccine development”); Elizabeth Halloran, Fred Hutchinson Cancer Research Center (discussant); and Natalie Dean, University of Florida (moderator).
The second webinar will be held on December 17, Thursday at noon (EST) on the Delphi COVID-19 symptom and hospitalization data, an Ecosystem for Tracking and Forecasting the Pandemic : Roni Rosenfeld and Ryan Tibshirani, Carnegie Mellon University (Speakers); and Rob Tibshirani, Stanford University (Moderator).