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A call for complexity: integrated models to solve complex policy problems

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  • Liz Johnson

Abstract

This research calls for attention to complexity theory and the integration of complexity methodologies in policy research. A complexity approach in research practice requires a systems worldview and recognition of non-linearity, networks, self-organization, emergence, and feedback in policy. Simply, if a phenomenon is complex and can be explored from varied contexts and scales, the conceptual frame, and the methodical approach should be able to address the complexity. Complexity science has the capacity to account for complexity in varied contexts, on varied scales, and with an interrelated and interdependent environment. Further, if policy systems are at times simple, complicated, complex, and chaotic, then complexity mythologies combined with traditional qualitative and quantitative methods can bring to light the workings of the elusive black box. Complexity allows for triangulation of both linear and non-linear methodologies integrating qualitative, quantitative, network analysis, and agent-based models, as well as other methodologies. Complexity science is not the panacea to solve all policy problems with perfection. But if you do not acknowledge the complexity you will be missing out on the opportunity to shape patterns of sustainability, to effectively manage complex policy problems to someday solve them. Copyright Springer-Verlag Berlin Heidelberg 2015

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  • Liz Johnson, 2015. "A call for complexity: integrated models to solve complex policy problems," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 259-271, November.
    • Handle: RePEc:spr:minsoc:v:14:y:2015:i:2:p:259-271
    DOI: 10.1007/s11299-015-0178-8
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    References listed on IDEAS

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    1. Graham Room, 2011. "Complexity, Institutions and Public Policy," Books, Edward Elgar Publishing, number 14394.
    2. Kenneth E. Boulding, 1956. "General Systems Theory--The Skeleton of Science," Management Science, INFORMS, vol. 2(3), pages 197-208, April.
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