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Is Science Able to Perform Under Pressure? Insights from COVID-19

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  • Ho Fai Chan
  • Nikita Ferguson
  • David A. Savage
  • David Stadelmann
  • Benno Torgler

Abstract

Although science has been an incredibly pow erful and revolutionary force, it is not clear whether science is suited to perf ormance under pressure; generally, science achieves best in its usual comfort zone of patience, caution, and slowness. But if science is organized knowledge and acts as a guiding force for making informed decisions, it is important to understand how science and scientists perform as a reliable and valuable institution in a global crisis such as COVID-19. This paper provides insights and reflections looking at aspects such as speed, transparency, trust, data sharing, scientists in the political arena, and the psychology of scientists; all of which are areas inviting more detailed investigation by future studies conducting systematic empirical studies.

Suggested Citation

  • Ho Fai Chan & Nikita Ferguson & David A. Savage & David Stadelmann & Benno Torgler, 2020. "Is Science Able to Perform Under Pressure? Insights from COVID-19," CREMA Working Paper Series 2020-07, Center for Research in Economics, Management and the Arts (CREMA).
  • Handle: RePEc:cra:wpaper:2020-07
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    References listed on IDEAS

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    1. Charles F. Manski, 2013. "Response to the Review of ‘Public Policy in an Uncertain World’," Economic Journal, Royal Economic Society, vol. 0, pages 412-415, August.
    2. Hendrik P. van Dalen, 2019. "Values of Economists Matter in the Art and Science of Economics," Kyklos, Wiley Blackwell, vol. 72(3), pages 472-499, August.
    3. Lawrence C. Hamilton & Joel Hartter & Kei Saito, 2015. "Trust in Scientists on Climate Change and Vaccines," SAGE Open, , vol. 5(3), pages 21582440156, August.
    4. Patt, Anthony & Zeckhauser, Richard, 2000. "Action Bias and Environmental Decisions," Journal of Risk and Uncertainty, Springer, vol. 21(1), pages 45-72, July.
    5. Bruno Frey, 2009. "Economists in the PITS?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 56(4), pages 335-346, December.
    6. Manski, Charles F., 2013. "Public Policy in an Uncertain World: Analysis and Decisions," Economics Books, Harvard University Press, number 9780674066892, Spring.
    7. David Stadelmann & Benno Torgler, 2012. "Bounded Rationality and Voting Decisions Exploring a 160-Year Period," Working Papers 2012.70, Fondazione Eni Enrico Mattei.
    8. Paul Frijters & Benno Torgler, 2019. "Improving the peer review process: a proposed market system," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1285-1288, May.
    9. Bruno S. Frey, 2003. "Publishing as prostitution? — Choosing between one’s own ideas and academic success," Springer Books, in: Roger D. Congleton & Kai A. Konrad & Arye L. Hillman (ed.), 40 Years of Research on Rent Seeking 2, pages 749-767, Springer.
    10. Colander,David C. & Coats,Alfred William (ed.), 1993. "The Spread of Economic Ideas," Cambridge Books, Cambridge University Press, number 9780521446501, September.
    11. Ho Fai Chan & Bruno S. Frey & Jana Gallus & Markus Schaffner & Benno Torgler & Stephen Whyte, 2016. "External Influence as an Indicator of Scholarly Importance," CESifo Economic Studies, CESifo Group, vol. 62(1), pages 170-195.
    12. Dominic H. P. Balog-Way & Katherine A. McComas, 2020. "COVID-19: Reflections on trust, tradeoffs, and preparedness," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 838-848, August.
    13. James G. March, 1978. "Bounded Rationality, Ambiguity, and the Engineering of Choice," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 587-608, Autumn.
    14. Reiner Eichenberger & Rainer Hegselmann & David Savage & David Stadelmann & Benno Torgler, 2020. "Certified Corona-Immunity as a Resource and Strategy to Cope with Pandemic Costs," CREMA Working Paper Series 2020-03, Center for Research in Economics, Management and the Arts (CREMA).
    15. Virginia Gewin, 2016. "Data sharing: An open mind on open data," Nature, Nature, vol. 529(7584), pages 117-119, January.
    16. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    17. Carol Tenopir & Elizabeth D Dalton & Suzie Allard & Mike Frame & Ivanka Pjesivac & Ben Birch & Danielle Pollock & Kristina Dorsett, 2015. "Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-24, August.
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    1. Frank Daumann & Florian Follert & Werner Gleißner & Endre Kamarás & Chantal Naumann, 2021. "Political Decision Making in the COVID-19 Pandemic: The Case of Germany from the Perspective of Risk Management," IJERPH, MDPI, vol. 19(1), pages 1-23, December.
    2. James Alm & Kay Blaufus & Martin Fochmann & Erich Kirchler & Peter N. C. Mohr & Nina E. Olson & Benno Torgler, 2020. "Tax Policy Measures to Combat the SARS-CoV-2 Pandemic and Considerations to Improve Tax Compliance: A Behavioral Perspective," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 76(4), pages 396-428.

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