Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems

The article outlines an approach to computer modelling called “human simulation,” whose development has been explicitly oriented towards addressing societal problems through transdisciplinary efforts involving stakeholders, change agents, policy professionals, subject matter experts, and computer sc...

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Main Author: F. LeRon Shults
Format: Article
Language:English
Published: Hindawi-Wiley 2023-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2023/1375004
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author F. LeRon Shults
author_facet F. LeRon Shults
author_sort F. LeRon Shults
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description The article outlines an approach to computer modelling called “human simulation,” whose development has been explicitly oriented towards addressing societal problems through transdisciplinary efforts involving stakeholders, change agents, policy professionals, subject matter experts, and computer scientists. It describes the steps involved in the creation and exploration of the “insight space” of policy-oriented artificial societies, which include both analysing societal problems and designing societal solutions. A case study is provided, based on an (ongoing) research project studying “emotional contagion” related to misinformation, stigma, and anxiety in the wake of the COVID-19 pandemic, along with lessons learned about some of the challenges and opportunities facing scientists and stakeholders trying to simulate solutions to complex societal problems.
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spelling doaj.art-4eed2693c94f4e8f96f926d9ec261b962023-04-08T00:00:09ZengHindawi-WileyComplexity1099-05262023-01-01202310.1155/2023/1375004Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal ProblemsF. LeRon Shults0Institute for Global Development and Social PlanningThe article outlines an approach to computer modelling called “human simulation,” whose development has been explicitly oriented towards addressing societal problems through transdisciplinary efforts involving stakeholders, change agents, policy professionals, subject matter experts, and computer scientists. It describes the steps involved in the creation and exploration of the “insight space” of policy-oriented artificial societies, which include both analysing societal problems and designing societal solutions. A case study is provided, based on an (ongoing) research project studying “emotional contagion” related to misinformation, stigma, and anxiety in the wake of the COVID-19 pandemic, along with lessons learned about some of the challenges and opportunities facing scientists and stakeholders trying to simulate solutions to complex societal problems.http://dx.doi.org/10.1155/2023/1375004
spellingShingle F. LeRon Shults
Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
Complexity
title Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
title_full Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
title_fullStr Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
title_full_unstemmed Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
title_short Simulation, Science, and Stakeholders: Challenges and Opportunities for Modelling Solutions to Societal Problems
title_sort simulation science and stakeholders challenges and opportunities for modelling solutions to societal problems
url http://dx.doi.org/10.1155/2023/1375004
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