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

ABSTRACT: 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 goa

SUBMITTER: Smith TB 

PROVIDER: S-EPMC8599416 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature