全球挑战治理:是时候建立大模型了?

Tibor Toth, G. Theodoropoulos, S. Boland, Ibad Kureshi, Adam Ghandar
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引用次数: 2

摘要

流行病等全球紧急情况对国家、政治和业务决策者提出了巨大的治理挑战。建模和模拟已被确定为制定和执行流行病和大流行病爆发的防备和应对措施的关键力量倍增器。近年来,该领域的建模和仿真工具出现了爆炸式增长,而物联网和遥感等新兴技术使数据收集达到了前所未有的规模。然而,这些努力的碎片化和竖井化妨碍了它们的效力。本文认为,挑战的复杂性和规模需要一种综合的“大建模”方法,这种方法将所有不同的元素结合在一起,以实现整体视图和分析,并概述一个计算框架,可以作为这个方向的催化剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Challenge Governance: Time for Big Modelling?
Global emergencies such as epidemics present immense governance challenges to national, political and operational decision-makers. Modelling and Simulation has been identified as a crucial force multiplier in the development and implementation of preparedness and response measures for epidemics and pandemics outbreaks. Recent years have witnessed an explosion in modelling and simulation tools for this domain while emerging technologies such as IoT and remote sensing enable data collection as an unprecedented scale. However fragmentation and siloing of these efforts hamper their effectiveness. This paper argues that the complexity and scale of the challenge calls for an integrated “Big Modelling” approach which would bring all the different elements together to enable a holistic view and analysis and outlines a computation framework that can act as a catalyst in this direction.
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