COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)

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Bibliographic Details
Main Author: Xiao-Li Meng
Format: Article
Language:English
Published: The MIT Press 2020-05-01
Series:Harvard Data Science Review
Online Access:http://dx.doi.org/10.1162/99608f92.1b77b932
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author Xiao-Li Meng
author_facet Xiao-Li Meng
author_sort Xiao-Li Meng
collection DOAJ
format Article
id doaj-art-3afe9d5e785c4a6abcd7e8bf85d43d71
institution Kabale University
issn 2644-2353
language English
publishDate 2020-05-01
publisher The MIT Press
record_format Article
series Harvard Data Science Review
spelling doaj-art-3afe9d5e785c4a6abcd7e8bf85d43d712024-12-09T20:13:47ZengThe MIT PressHarvard Data Science Review2644-23532020-05-0110.1162/99608f92.1b77b932COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)Xiao-Li Menghttp://dx.doi.org/10.1162/99608f92.1b77b932
spellingShingle Xiao-Li Meng
COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
Harvard Data Science Review
title COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
title_full COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
title_fullStr COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
title_full_unstemmed COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
title_short COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)
title_sort covid 19 a massive stress test with many unexpected opportunities for data science
url http://dx.doi.org/10.1162/99608f92.1b77b932
work_keys_str_mv AT xiaolimeng covid19amassivestresstestwithmanyunexpectedopportunitiesfordatascience