Data, Science, and Global Disasters

IF 3.9 1区 数学 Q1 STATISTICS & PROBABILITY Statistical Science Pub Date : 2022-05-01 DOI:10.1214/22-sts858
John M. Chambers
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引用次数: 1

Abstract

The spread and impact of COVID-19 have disrupted human activities and energized a response of scientific activity on a remarkable, nearly unprecedented scale. This has somewhat distracted attention from a broad range of less immediate but fundamentally more serious global threats resulting from human actions. These can be collectively labelled the anthropocene disasters. Science cannot itself prevent or mitigate them. To do so requires a global policy resolve not currently existing. When and if that resolve emerges, science will be essential for guiding action. This science will be radically data-intensive, global and inclusive. Teams will be required that include the best and most motivated individuals from all relevant scientific disciplines, plus members knowledgable about implementing likely policy recommendations. Such participants must be attracted to join and then properly supported and rewarded–not likely with current academic structures. Some insights can be gained from the recent experience with COVID-19 and the much less recent example of research at Bell Labs.
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数据、科学和全球灾难
COVID-19的传播和影响扰乱了人类活动,并以惊人的、几乎前所未有的规模激发了科学活动的响应。这在某种程度上分散了人们对人类活动造成的一系列不那么紧迫但根本上更为严重的全球威胁的注意力。这些可以统称为人类世的灾难。科学本身无法预防或减轻它们。要做到这一点,需要一种目前尚不存在的全球政策决心。当这种决心出现时,科学将成为指导行动的关键。这门科学将完全是数据密集型、全球性和包容性的。团队需要包括来自所有相关科学学科的最优秀和最积极的个人,以及对实施可能的政策建议了解的成员。必须吸引这样的参与者加入,然后给予适当的支持和奖励——目前的学术结构不太可能做到这一点。从最近的COVID-19经验和贝尔实验室最近的研究实例中可以获得一些见解。
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来源期刊
Statistical Science
Statistical Science 数学-统计学与概率论
CiteScore
6.50
自引率
1.80%
发文量
40
审稿时长
>12 weeks
期刊介绍: The central purpose of Statistical Science is to convey the richness, breadth and unity of the field by presenting the full range of contemporary statistical thought at a moderate technical level, accessible to the wide community of practitioners, researchers and students of statistics and probability.
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