Rapid Response Data Science for COVID-19 | Zendy

Alisa Bandlow | Zendy; Travis Bauer | Zendy; Patricia J. Crossno | Zendy; Rudy Garcia | Zendy; Lisa M Astuto-Gribble | Zendy; Patricia Hernandez | Zendy; Shawn Martin | Zendy; Jonathan McClain | Zendy; Laura Patrizi | Zendy

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Rapid Response Data Science for COVID-19

Author(s) -

Alisa Bandlow,

Travis Bauer,

Patricia J. Crossno,

Rudy Garcia,

Lisa M Astuto-Gribble,

Patricia Hernandez,

Shawn Martin,

Jonathan McClain,

Laura Patrizi

Publication year - 2020

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - Uncategorized

Resource type - Reports

DOI - 10.2172/1763559

Subject(s) - subject matter , computer science , covid-19 , variety (cybernetics) , data science , subject (documents) , action (physics) , software , analytics , subject matter expert , call to action , big data , visualization , artificial intelligence , data mining , world wide web , psychology , expert system , pedagogy , business , pathology , quantum mechanics , marketing , curriculum , programming language , medicine , physics , disease , infectious disease (medical specialty) , virology , outbreak , biology

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