Article: Towards a transdisciplinary framework for systemic risk detection Journal: International Journal of Agile Systems and Management (IJASM) 2023 Vol.16 No.4 pp.458 - 483 Abstract: 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. Inderscience Publishers - linking academia, business and industry through research

Title: Towards a transdisciplinary framework for systemic risk detection

Authors: Mark Wever; Niall O'Leary; Munir Shah; Nel Wognum; George Onofrei

Addresses: Digital Innovation Centre of Excellence, AgResearch, Private Bag 4749, Christchurch 8140, New Zealand ' Hincks Centre for Entrepreneurship Excellence, School of Business, Munster Technological University, Bishopstown, Cork, T12 P928, Ireland ' Digital Innovation Centre of Excellence, AgResearch, Private Bag 4749, Christchurch 8140, New Zealand ' Guest at TU Delft (Technical University of Delft), Air Transport and Operations Group, The Netherlands ' Atlantic Technological University, ATU Donegal Letterkenny, Port Road, Letterkenny, Co. Donegal, F92 FC93, Ireland

Abstract: 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.

Keywords: transdisciplinary design; systemic risk; risk detection; early warning systems; complex systems.

DOI: 10.1504/IJASM.2023.134068

International Journal of Agile Systems and Management, 2023 Vol.16 No.4, pp.458 - 483

Received: 06 Nov 2021
Accepted: 27 Jul 2022
Published online: 10 Oct 2023 *

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Title: Towards a transdisciplinary framework for systemic risk detection

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