Systems Approach for Modeling Interactions Among the Sustainable Development Goals Part 1: Cross-Impact Network Analysis

David Zelinka and Bernard Amadei
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David Zelinka: Mortenson Center in Engineering for Developing Communities, University of Colorado Boulder, Boulder, USA
Bernard Amadei: Mortenson Center in Engineering for Developing Communities, University of Colorado Boulder, Boulder, USA

International Journal of System Dynamics Applications (IJSDA), 2019, vol. 8, issue 1, 23-40

Abstract: This article advocates for a systems approach to analyzing the SDGs, categorized as an anthropocentric network. Cross-impact analysis, a semi-qualitative, soft-systems approach is used to explore the connections among the SDGs. This approach can better capture the science underlying the SDGs' interactions in a generic manner compared to existing methods. The suggested approach enables users to: (1) get a better qualitative and quantitative understanding of how the SDGs interact; (2) detect emerging patterns resulting from those interactions; (3) use context-specific information about direct impacts to identify indirect effects; and (4) identify leverage points hidden within the SDGs. The article also discusses how network analysis complements cross-impact analysis as a mathematical approach to understanding patterns of interactions among the SDGs. The term cross-impact network analysis is proposed to describe the synergy between these two analytical methods. This article is the first of two papers systematically analyzing the interactions between the SDGs.

Date: 2019
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