Building a system model on the interlinkages of climate action with the Sustainable Development Goals (SDGs): Using Natural Language Processing for systematic text mining of key linkages from climate change literature

Event: TIFAC-IIASA International Conference on Systems Analysis for Enabling Integrated Policy Making
Date: 10 August 2022, New Delhi, India
Conference Paper
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The UN 2030 Agenda charts out 17 interlinked Sustainable Development Goals that require a systems approach to their implementation. However, such a systems approach is new and challenging due to the broad coverage of social, economic and environmental dimensions and complex relations among 169 targets. There is a big knowledge gap about how the SDGs are interlinked and whether targets are mutually reinforcing or conflicting. This knowledge gap inhibits the adoption of an integrated approach aiming at strengthening the synergies and mitigating the trade-offs. This is particular true for Goal 13 on climate action which cuts across all SDGs entangling both positive and negative interactions. This paper presents a novel methodology for building a system model on the interlinkages between Goal 13 and other SDGs. Using Natural Language Processing techniques, an automating process was developed for systematically mining the key linkages at SDG target level from large scale text data based on the assessment reports of IPCC. A qualitative SDG interlinkage model was built for climate action and visualised in a network graph. The system model can be used as a practical tool to support integrated policy making to combat climate change.