Computing and Modeling After COVID-19: More Responsible, Less Technical

Ehsan Nabavi
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引用次数: 1

Abstract

The COVID-19 pandemic brought into focus the crucial role of computational modeling and simulation in informing and/or advising governments and societies, demonstrating the profound influence that modelers can have, particularly in times of crisis. This global experience has (re)shaped political and public demands on science and technology and the ways in which we incorporate scientific findings in our everyday lives. Through a brief review of models developed for COVID-19, this paper discusses the urgent need to move towards ‘responsible modeling’ in which social, ethical, and cultural issues claim the same importance as technical aspects. This includes a new social contract between modeler and society on one hand, and science and policy on the other hand. The characteristics of modeling work under this new paradigm, however, are still not well understood and are a topic of debate. This paper aims to fill this gap by proposing a new research agenda that can facilitate the discussion about ‘responsible modeling’ and the overarching principles that underpin the concept’s aims and objectives.
新冠肺炎后的计算和建模:更负责任,更少技术
新冠肺炎大流行使人们关注计算建模和模拟在向政府和社会提供信息和/或建议方面的关键作用,表明建模者可能产生的深远影响,特别是在危机时期。这种全球经验(重新)塑造了政治和公众对科学技术的需求,以及我们将科学发现融入日常生活的方式。通过对为新冠肺炎开发的模型的简要回顾,本文讨论了转向“负责任的建模”的迫切需要,在这种建模中,社会、伦理和文化问题与技术方面具有同等的重要性。这包括建模者与社会、科学与政策之间的一种新的社会契约。然而,在这种新范式下建模工作的特点仍然没有得到很好的理解,并且是一个有争议的话题。本文旨在通过提出一个新的研究议程来填补这一空白,该议程可以促进关于“负责任建模”和支撑该概念目的和目标的总体原则的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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