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Publications
  • May 8, 2020
  • Article
  • Harvard Business Review (website)

Which Covid-19 Data Can You Trust?

By: Satchit Balsari, Caroline Buckee and Tarun Khanna
  • Format:Electronic
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Abstract

The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad or too narrow, that comes from unvetted technologies, and models produced without relevant experts. Conversely, look for transparency, thoughtfulness, experts, and open platforms, all of which are signs that the producers of the data have faith in their claims, are aware of their blind spots, and are open to having their work checked by other researchers.

Keywords

COVID-19 Pandemic; Health Pandemics; Analytics and Data Science

Citation

Balsari, Satchit, Caroline Buckee, and Tarun Khanna. "Which Covid-19 Data Can You Trust?" Harvard Business Review (website) (May 8, 2020).
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About The Author

Tarun Khanna

Strategy
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  • Your Company Needs a Space Strategy. Now. By: Matthew Weinzierl, Prithwiraj (Raj) Choudhury, Tarun Khanna, Alan MacCormack and Brendan Rosseau
  • Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals By: Misha Teplitskiy, Hao Peng, Andrea Blasco and Karim R. Lakhani
  • AES Corp: A Global Power Transformation By: Tarun Khanna, Allison Ciechanover and Matt Higgins
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