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The Wicked and the Complex: A New Paradigm for Societal Problem-Solving
Version 1
: Received: 17 July 2024 / Approved: 17 July 2024 / Online: 17 July 2024 (12:21:47 CEST)
How to cite: hipolito, I.; Khanduja, A. The Wicked and the Complex: A New Paradigm for Societal Problem-Solving. Preprints 2024, 2024071438. https://doi.org/10.20944/preprints202407.1438.v1 hipolito, I.; Khanduja, A. The Wicked and the Complex: A New Paradigm for Societal Problem-Solving. Preprints 2024, 2024071438. https://doi.org/10.20944/preprints202407.1438.v1
Abstract
Wicked problems, such as climate change, systemic poverty, and healthcare inequalities, rep- resent the most pressing and intractable challenges facing society today. We propose a novel approach that leverages complex systems theory as a comprehensive framework for understanding and tackling these challenges. By applying concepts such as state space analysis, attractors, and nonlinear dynamics, we offer a sophisticated toolkit for mapping the intricate web of interactions defining wicked problems and exploring potential interventions. Our approach moves beyond tradi- tional reductionist methods, embracing the inherent complexity and dynamism of these issues. We demonstrate how this framework can lead to more nuanced, adaptive, and effective strategies for addressing persistent societal problems. Despite the prevalence of wicked problems and the avail- ability of complex systems theory, practical applications of this approach remain uncommon. This paper aims to bridge this gap, illustrating the potential of complex systems theory to transform our engagement with intractable problems and pave the way for more robust, holistic solutions. By synthesizing insights from mathematics, physics, and social sciences, we present a transdisci- plinary approach that promises to revolutionize how we conceptualize and address society’s most challenging issues.
Keywords
Wicked problems; Complex systems theory; Societal challenges; Nonlinear dynamics;
Network analysis
Network analysis
Subject
Biology and Life Sciences, Behavioral Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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