模拟,科学和利益相关者:建模解决社会问题的挑战和机遇

F. Shults
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引用次数: 0

摘要

这篇文章概述了一种被称为“人类模拟”的计算机建模方法,它的发展已经明确地指向通过涉及利益相关者、变革代理人、政策专业人员、主题专家和计算机科学家的跨学科努力来解决社会问题。它描述了创建和探索政策导向的人工社会的“洞察空间”所涉及的步骤,其中包括分析社会问题和设计社会解决方案。本文提供了一个案例研究,基于一个正在进行的研究项目,该项目研究了COVID-19大流行后与错误信息、耻辱和焦虑相关的“情绪传染”,以及科学家和利益相关者在试图模拟复杂社会问题的解决方案时所面临的一些挑战和机遇的经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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CiteScore
2.80
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