Learning from near misses from Covid 19
Accepted version
Peer-reviewed
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Change log
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Abstract
Conley and Johnson (2021) make a significant contribution to how the social sciences need to advance research on Covid 19. The authors suggest that studies on Covid 19 could learn from other similar one-time events to better understand causality and hence generalizability
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Journal Title
Proceedings of the National Academy of Sciences of USA
Conference Name
Journal ISSN
0027-8424
1091-6490
1091-6490
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Publisher
National Academy of Sciences
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Except where otherwised noted, this item's license is described as All rights reserved
Sponsorship
Engineering and Physical Sciences Research Council (EP/R024367/1)
EPSRC (via University of Nottingham) (EP/T024429/1)
ESRC (via University of Manchester) (R125208)
UK Research and Innovation (EP/V062123/1)
ESRC (ES/V002740/1)
EPSRC (via University of Nottingham) (EP/T024429/1)
ESRC (via University of Manchester) (R125208)
UK Research and Innovation (EP/V062123/1)
ESRC (ES/V002740/1)
(1) Engineering and Physical Sciences Research Council (EP/R024367/1 and EP/T024429/1).
(2) Economic and Social Research Council – The Productivity Institute (ES/V002740/1).
(3) The Keynes Fund, Cambridge.