Systemic Risks from Different Perspectives.

Ortwin Renn, Manfred Laubichler, Klaus Lucas, Wolfgang Kröger, Jochen Schanze, Roland W Scholz, Pia-Johanna Schweizer
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引用次数: 49

Abstract

Systemic risks are characterized by high complexity, multiple uncertainties, major ambiguities, and transgressive effects on other systems outside of the system of origin. Due to these characteristics, systemic risks are overextending established risk management and create new, unsolved challenges for policymaking in risk assessment and risk governance. Their negative effects are often pervasive, impacting fields beyond the obvious primary areas of harm. This article addresses these challenges of systemic risks from different disciplinary and sectorial perspectives. It highlights the special contributions of these perspectives and approaches and provides a synthesis for an interdisciplinary understanding of systemic risks and effective governance. The main argument is that understanding systemic risks and providing good governance advice relies on an approach that integrates novel modeling tools from complexity sciences with empirical data from observations, experiments, or simulations and evidence-based insights about social and cultural response patterns revealed by quantitative (e.g., surveys) or qualitative (e.g., participatory appraisals) investigations. Systemic risks cannot be easily characterized by single numerical estimations but can be assessed by using multiple indicators and including several dynamic gradients that can be aggregated into diverse but coherent scenarios. Lastly, governance of systemic risks requires interdisciplinary and cross-sectoral cooperation, a close monitoring system, and the engagement of scientists, regulators, and stakeholders to be effective as well as socially acceptable.

不同视角下的系统性风险。
系统性风险的特点是高度复杂性、多重不确定性、主要模糊性以及对起源系统之外的其他系统的越界影响。由于这些特点,系统性风险正在过度扩展现有的风险管理,并在风险评估和风险治理方面为政策制定带来新的、尚未解决的挑战。它们的负面影响往往是普遍的,影响的领域超出了明显的主要危害领域。本文从不同学科和部门的角度来解决这些系统性风险的挑战。它突出了这些观点和方法的特殊贡献,并提供了对系统性风险和有效治理的跨学科理解的综合。主要论点是,理解系统性风险和提供良好治理建议依赖于一种方法,该方法将复杂性科学的新型建模工具与来自观察、实验或模拟的经验数据以及定量(例如调查)或定性(例如参与式评估)调查揭示的社会和文化反应模式的循证见解相结合。系统性风险不能简单地通过单一的数值估计来表征,但可以通过使用多个指标并包括几个动态梯度来评估,这些动态梯度可以汇总成不同但连贯的情景。最后,系统性风险的治理需要跨学科和跨部门的合作、密切的监测系统以及科学家、监管机构和利益相关者的参与,才能有效并为社会所接受。
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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