TY - JOUR
T1 - Towards a transdisciplinary framework for systemic risk detection
AU - Wever, Mark
AU - O’Leary, Niall
AU - Shah, Munir
AU - Wognum, Nel
AU - Onofrei, George
N1 - Publisher Copyright:
Copyright © 2023 Inderscience Enterprises Ltd.
PY - 2023
Y1 - 2023
N2 - Detecting and managing systemic risk is a major growing challenge for the 21st century. Due to the increasing complexity and interconnectedness of social-technological-biophysical systems, stakeholders will fail to promptly identify key early warning signals of systemic risk if relying on individual disciplines, or a combination of disciplines that are not well coordinated. Our paper argues that transdisciplinary approaches are required to make comprehensive and integrative assessments of complex systems. To support stakeholders in undertaking such assessments, we propose a framework that will assist them in: 1) better understanding their system and the risks to which it is exposed; 2) selecting complementary disciplines, theories and methods that are relevant to the system in question; and 3) integrating knowledge from these different disciplines to detect a wide range of early warning signals of risk. The framework can be used as a foundation to build transdisciplinary approaches to systemic risk detection.
AB - Detecting and managing systemic risk is a major growing challenge for the 21st century. Due to the increasing complexity and interconnectedness of social-technological-biophysical systems, stakeholders will fail to promptly identify key early warning signals of systemic risk if relying on individual disciplines, or a combination of disciplines that are not well coordinated. Our paper argues that transdisciplinary approaches are required to make comprehensive and integrative assessments of complex systems. To support stakeholders in undertaking such assessments, we propose a framework that will assist them in: 1) better understanding their system and the risks to which it is exposed; 2) selecting complementary disciplines, theories and methods that are relevant to the system in question; and 3) integrating knowledge from these different disciplines to detect a wide range of early warning signals of risk. The framework can be used as a foundation to build transdisciplinary approaches to systemic risk detection.
KW - complex systems
KW - early warning systems
KW - risk detection
KW - systemic risk
KW - transdisciplinary design
UR - http://www.scopus.com/inward/record.url?scp=85174230329&partnerID=8YFLogxK
U2 - 10.1504/IJASM.2023.134068
DO - 10.1504/IJASM.2023.134068
M3 - Article
AN - SCOPUS:85174230329
SN - 1741-9174
VL - 16
SP - 458
EP - 483
JO - International Journal of Agile Systems and Management
JF - International Journal of Agile Systems and Management
IS - 4
ER -