4.7 Article

Natural language processing and network analysis provide novel insights on policy and scientific discourse around Sustainable Development Goals

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-01801-6

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  1. University of Florida One Health Center of Excellence
  2. University of Florida Clinical and Translational Science Institute
  3. NIH National Center for Advancing Translational Sciences [UL1TR001427]

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The United Nations' Sustainable Development Goals are diverse and interdependent, consisting of 169 targets and 231 indicators covering various areas such as health, environment, and human rights. An alternative approach is presented in the study to quantify the complex network of SDG interdependencies using computational methods, revealing a strong discursive divide between environmental goals and other SDGs, as well as unexpected interdependencies between goals in different areas. While some alignment is found between UN discourse and integration patterns in SDG-related science, significant differences also exist between priorities in UN discourse and global scientific discourse.
The United Nations' (UN) Sustainable Development Goals (SDGs) are heterogeneous and interdependent, comprising 169 targets and 231 indicators of sustainable development in such diverse areas as health, the environment, and human rights. Existing efforts to map relationships among SDGs are either theoretical investigations of sustainability concepts, or empirical analyses of development indicators and policy simulations. We present an alternative approach, which describes and quantifies the complex network of SDG interdependencies by applying computational methods to policy and scientific documents. Methods of Natural Language Processing are used to measure overlaps in international policy discourse around SDGs, as represented by the corpus of all existing UN progress reports about each goal (N = 85 reports). We then examine if SDG interdependencies emerging from UN discourse are reflected in patterns of integration and collaboration in SDG-related science, by analyzing data on all scientific articles addressing relevant SDGs in the past two decades (N = 779,901 articles). Results identify a strong discursive divide between environmental goals and all other SDGs, and unexpected interdependencies between SDGs in different areas. While UN discourse partially aligns with integration patterns in SDG-related science, important differences are also observed between priorities emerging in UN and global scientific discourse. We discuss implications and insights for scientific research and policy on sustainable development after COVID-19.

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