Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways

• URL: http://arxiv.org/abs/2312.04416v1
• Date: Thu, 7 Dec 2023 16:38:20 GMT
• Title: Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
• Authors: Michelle W.L. Wan, Jeffrey N. Clark, Edward A. Small, Elena Fillola Mayoral, Ra\'ul Santos-Rodr\'iguez
• Abstract summary: We propose approaches to monitor and quantify sustainable development along the Shared Socioeconomic Pathways (SSPs) mathematically derived scoring algorithms, and machine learning methods. An initial study demonstrates promising results, laying the groundwork for the application of different methods to the monitoring of sustainable global development.
• Score: 0.47725505365135473
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Sustainable global development is one of the most prevalent challenges facing the world today, hinging on the equilibrium between socioeconomic growth and environmental sustainability. We propose approaches to monitor and quantify sustainable development along the Shared Socioeconomic Pathways (SSPs), including mathematically derived scoring algorithms, and machine learning methods. These integrate socioeconomic and environmental datasets, to produce an interpretable metric for SSP alignment. An initial study demonstrates promising results, laying the groundwork for the application of different methods to the monitoring of sustainable global development.

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