Abstract
Publisher: School of Statistics, Renmin University of China, Journal: Journal of Data Science, Title: Editorial - Data Science in Action in Response to the Outbreak of COVID-19, Authors: Dean Follmann, Peter X. K. Song, Hansheng Wang
Highlights
This special issue of the Journal of Data Science on “Data Science in Action in Response to the Outbreak of COVID-19” was designed to provide a timely platform for data scientists fighting the COVID-19 pandemic to communicate their research works
This was a perfect opportunity to demonstrate the critical impact of statistics and data science in a global emergency
Our hope was to attract contributions from any branch of data science, including mathematics, computer science, statistics, epidemiology, economics, engineering, and environmental sciences, as long as they were relevant to the pandemic of COVID-19
Summary
This special issue of the Journal of Data Science on “Data Science in Action in Response to the Outbreak of COVID-19” was designed to provide a timely platform for data scientists fighting the COVID-19 pandemic to communicate their research works. This was the first special issue of this kind from statistical journals on this topic. This was a perfect opportunity to demonstrate the critical impact of statistics and data science in a global emergency.
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