arXiv · 2312.04416
Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways
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.
Explore related subjects
Keep this discovery
Michelle W. L. Wan, Jeffrey N. Clark, Edward A. Small, Elena Fillola Mayoral, Raúl Santos-Rodríguez. 2023-12-07. Monitoring Sustainable Global Development Along Shared Socioeconomic Pathways. https://arxiv.org/abs/2312.04416
Cite the original work for its findings. Save a collection to share your selection of sources.