Out of sight but still in mind: Developing an expectation for surprises by formalizing unknowledge in a contemporary risk-assessment framework.

IF 3 3区 医学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Risk Analysis Pub Date : 2024-10-08 DOI:10.1111/risa.17661
James Derbyshire, Terje Aven
{"title":"Out of sight but still in mind: Developing an expectation for surprises by formalizing unknowledge in a contemporary risk-assessment framework.","authors":"James Derbyshire, Terje Aven","doi":"10.1111/risa.17661","DOIUrl":null,"url":null,"abstract":"<p><p>Extreme events like the credit crunch, the September 11th attacks, the coronavirus pandemic, and Hamas' attack on Israel each have in common that they should not have come as a surprise, yet still did. One reason surprises happen is that a risk assessment reflects the knowledge of the assessors, yet risk also includes uncertainties that extend beyond this knowledge. A risk assessment is thus susceptible to surprises as it focuses attention on what is known. Developing an expectation for surprises is key to their avoidance and requires that risk assessors specifically consider their \"unknowledge\"-that is, what they do not presently know about an event, outcome, or activity and its potential consequences and triggers. One way to emphasize the need for risk assessors to consider unknowledge is to explicitly include it as a separate component in risk-assessment frameworks. This article formalizes the inclusion of unknowledge in a contemporary risk-assessment framework.</p>","PeriodicalId":21472,"journal":{"name":"Risk Analysis","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Analysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/risa.17661","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Extreme events like the credit crunch, the September 11th attacks, the coronavirus pandemic, and Hamas' attack on Israel each have in common that they should not have come as a surprise, yet still did. One reason surprises happen is that a risk assessment reflects the knowledge of the assessors, yet risk also includes uncertainties that extend beyond this knowledge. A risk assessment is thus susceptible to surprises as it focuses attention on what is known. Developing an expectation for surprises is key to their avoidance and requires that risk assessors specifically consider their "unknowledge"-that is, what they do not presently know about an event, outcome, or activity and its potential consequences and triggers. One way to emphasize the need for risk assessors to consider unknowledge is to explicitly include it as a separate component in risk-assessment frameworks. This article formalizes the inclusion of unknowledge in a contemporary risk-assessment framework.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
眼不见,心不烦:通过在当代风险评估框架中将不可知正规化,发展对意外的预期。
信贷紧缩、"9-11 "袭击、冠状病毒大流行和哈马斯袭击以色列等极端事件都有一个共同点,那就是它们本不应该出人意料,但还是出人意料了。意外发生的一个原因是,风险评估反映的是评估者的知识,但风险还包括超出这种知识范围的不确定性。因此,风险评估很容易出现意外,因为它把注意力集中在已知的事情上。建立对意外的预期是避免意外的关键,这就要求风险评估人员特别考虑他们的 "不可知性"--即他们目前对某一事件、结果或活动及其潜在后果和触发因素的不可知性。强调风险评估者需要考虑 "不可知因素 "的一种方法是,明确将其作为一个单独的组成部分纳入风险评估框架。本文正式将不可知因素纳入当代风险评估框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Risk Analysis
Risk Analysis 数学-数学跨学科应用
CiteScore
7.50
自引率
10.50%
发文量
183
审稿时长
4.2 months
期刊介绍: Published on behalf of the Society for Risk Analysis, Risk Analysis is ranked among the top 10 journals in the ISI Journal Citation Reports under the social sciences, mathematical methods category, and provides a focal point for new developments in the field of risk analysis. This international peer-reviewed journal is committed to publishing critical empirical research and commentaries dealing with risk issues. The topics covered include: • Human health and safety risks • Microbial risks • Engineering • Mathematical modeling • Risk characterization • Risk communication • Risk management and decision-making • Risk perception, acceptability, and ethics • Laws and regulatory policy • Ecological risks.
期刊最新文献
JointLIME: An interpretation method for machine learning survival models with endogenous time-varying covariates in credit scoring. Portrayal of risk information and its impact on audiences' risk perception during the Covid-19 pandemic: A multi-method approach. A quantitative analysis of biosafety and biosecurity using attack trees in low-to-moderate risk scenarios: Evidence from iGEM. Two paths of news frames affecting support for particulate matter policies in South Korea: The moderating roles of media exposure and psychological distance. A generalized multinomial probabilistic model for SARS-COV-2 infection prediction and public health intervention assessment in an indoor environment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1