解析黑天鹅及其他历史风险事件:进步与机会的主题对于风险管理科学的启示
The field of risk science continues to learn from the long history of events to develop principles and practices that enable individuals, organizations, and societies to understand and manage future risk. Reflecting on these histories reminds us that risk and uncertainty are prevalent, yet it remains important to consider what is on the horizon: the possibility of future events, the consequences of those events, our vulnerability to those events, and how to recover from those events.
Decoding Black Swans and Other Historic Risk Events offers a guide to understanding risk events and how to act before they occur. This book explores past risk events and analyzes how risk science principles apply to those events and studies whether current risk science concepts and approaches could potentially have avoided, reduced the impact, or supported recovery following the risk event. New insights are obtained by applying recent research progress in understanding and managing risk, considering aspects including quality of evidence, information, and misinformation in risk studies. The analysis results are used to identify how risk science approaches contribute to the overall management of risk and societal safety, and where improvements can be obtained, allowing the reader to possess a toolkit for identifying and planning for unsafe events.
This title will be a critical read for professionals in the fields of occupational health and safety, risk management, civil engineering, mechanical engineering, energy, marine engineering, environmental engineering, business and management, and healthcare.
风险科学领域持续从历史事件的长河中学习,以发展能够帮助个人、组织和社会理解并管理未来风险的原则和实践。回顾这些历史让我们意识到风险与不确定性普遍存在,但仍然重要的是要考虑即将到来的事物:未来的事件可能性、这些事件可能带来的后果、我们对这些事件的脆弱性以及如何从这些事件中恢复。 《解读黑天鹅及其他历史风险事件》提供了一个了解风险事件并提前采取行动的指南。本书探讨了过去的风险事件,并分析了风险科学原则在这些事件中的应用,以及当前的风险科学概念和方法是否有可能避免、减轻或支持未来风险事件后的恢复工作。通过应用理解与管理风险的新研究成果来获取新见解,考虑风险研究中证据质量、信息及虚假信息的方面。分析结果被用来识别风险科学的方法如何为整体风险管理和社会安全作出贡献,并且在哪里可以进行改进,从而让读者拥有一套识别和规划不安全事件的工具。 该书对于职业健康与安全管理、风险管理、土木工程、机械工程、能源、海洋工程、环境工程、商业管理和医疗保健领域的专业人士来说至关重要。
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