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Systems Approach for Modeling Interactions Among the Sustainable Development Goals Part 1: Cross-Impact Network Analysis
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Author(s): David Zelinka (Mortenson Center in Engineering for Developing Communities, University of Colorado Boulder, Boulder, USA)and Bernard Amadei (Mortenson Center in Engineering for Developing Communities, University of Colorado Boulder, Boulder, USA)
Copyright: 2019
Volume: 8
Issue: 1
Pages: 18
Source title:
International Journal of System Dynamics Applications (IJSDA)
Editor(s)-in-Chief: Ahmad Taher Azar (College of Computer & Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia & Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt)
DOI: 10.4018/IJSDA.2019010102
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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.
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