Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic

Evolutionary game theory and public goods games offer an important framework to understand cooperation during pandemics. From this perspective, the COVID-19 situation can be conceptualized as a dilemma where people who neglect safety precautions act as free riders, because they get to enjoy the bene...

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Main Authors: Yong, Jose C., Choy, Bryan K. C.
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152044
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1520442023-05-19T07:31:15Z Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic Yong, Jose C. Choy, Bryan K. C. Nanyang Business School Social sciences::Psychology Evolutionary Game Theory Decision-Making Evolutionary game theory and public goods games offer an important framework to understand cooperation during pandemics. From this perspective, the COVID-19 situation can be conceptualized as a dilemma where people who neglect safety precautions act as free riders, because they get to enjoy the benefits of decreased health risk from others’ compliance with policies despite not contributing to or even undermining public safety themselves. At the same time, humans appear to carry a suite of evolved psychological mechanisms aimed at curbing free riding in order to ensure the continued provision of public goods, which can be leveraged to develop more effective measures to promote compliance with regulations. We also highlight factors beyond free riding that reduce compliance rates, such as the emergence of conspiratorial thinking, which seriously undermine the effectiveness of measures to suppress free riding. Together, the current paper outlines the social dynamics that occur in public goods dilemmas involving the spread of infectious disease, highlights the utility and limits of evolutionary game-theoretic approaches for COVID-19 management, and suggests novel directions based on emerging challenges to cooperation. Published version 2021-11-18T01:29:54Z 2021-11-18T01:29:54Z 2021 Journal Article Yong, J. C. & Choy, B. K. C. (2021). Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic. Frontiers in Psychology, 12, 646892-. https://dx.doi.org/10.3389/fpsyg.2021.646892 1664-1078 https://hdl.handle.net/10356/152044 10.3389/fpsyg.2021.646892 33796057 2-s2.0-85103411411 12 646892 en Frontiers in Psychology © 2021 Yong and Choy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Psychology
Evolutionary Game Theory
Decision-Making
spellingShingle Social sciences::Psychology
Evolutionary Game Theory
Decision-Making
Yong, Jose C.
Choy, Bryan K. C.
Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
description Evolutionary game theory and public goods games offer an important framework to understand cooperation during pandemics. From this perspective, the COVID-19 situation can be conceptualized as a dilemma where people who neglect safety precautions act as free riders, because they get to enjoy the benefits of decreased health risk from others’ compliance with policies despite not contributing to or even undermining public safety themselves. At the same time, humans appear to carry a suite of evolved psychological mechanisms aimed at curbing free riding in order to ensure the continued provision of public goods, which can be leveraged to develop more effective measures to promote compliance with regulations. We also highlight factors beyond free riding that reduce compliance rates, such as the emergence of conspiratorial thinking, which seriously undermine the effectiveness of measures to suppress free riding. Together, the current paper outlines the social dynamics that occur in public goods dilemmas involving the spread of infectious disease, highlights the utility and limits of evolutionary game-theoretic approaches for COVID-19 management, and suggests novel directions based on emerging challenges to cooperation.
author2 Nanyang Business School
author_facet Nanyang Business School
Yong, Jose C.
Choy, Bryan K. C.
format Article
author Yong, Jose C.
Choy, Bryan K. C.
author_sort Yong, Jose C.
title Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
title_short Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
title_full Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
title_fullStr Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
title_full_unstemmed Noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the COVID-19 pandemic
title_sort noncompliance with safety guidelines as a free-riding strategy : an evolutionary game-theoretic approach to cooperation during the covid-19 pandemic
publishDate 2021
url https://hdl.handle.net/10356/152044
_version_ 1772828116263108608