Systemic Risks from Different Perspectives
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In: Risk Analysis, Vol. 42, No. 9, 01.09.2022, p. 1902-1920.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Systemic Risks from Different Perspectives
AU - Renn, Ortwin
AU - Laubichler, Manfred
AU - Lucas, Klaus
AU - Kröger, Wolfgang
AU - Schanze, Jochen
AU - Scholz, Roland W.
AU - Schweizer, Pia‐johanna
N1 - The authors would like to acknowledge the support by the Berlin‐Brandenburg Academy of Sciences and Humanities, Germany. The publication is the outcome of the Academy's interdisciplinary initiative “Systemic Risks as Prototypes of Dynamic Structure Generation” chaired by Klaus Lucas and Ortwin Renn. The initiative conducted several workshops from 2017 to 2019. We are thankful to the workshop participants and the anonymous reviewers of who have provided valuable feedback on earlier versions of the publication. In addition, the authors are grateful for the support of the Institute for Advanced Sustainability Studies in Potsdam, Germany. Risk Analysis Publisher Copyright: © 2020 The Authors. Risk Analysis published by Wiley Periodicals LLC on behalf of Society for Risk Analysis.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - 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.
AB - 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.
KW - Sustainability Governance
KW - Transdisciplinary studies
KW - interdisciplinarity integration
KW - properties of systemic risks
KW - risk governance
KW - systemic risk
UR - http://www.scopus.com/inward/record.url?scp=85097604529&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/71a7f19b-0444-3666-a4e2-def5ba807094/
U2 - 10.1111/risa.13657
DO - 10.1111/risa.13657
M3 - Journal articles
C2 - 33331037
VL - 42
SP - 1902
EP - 1920
JO - Risk Analysis
JF - Risk Analysis
SN - 0272-4332
IS - 9
ER -