Discovering new pathways toward integration between health and sustainable development goals with natural language processing and network science.

ABSTRACT:

Background

Research on health and sustainable development is growing at a pace such that conventional literature review methods appear increasingly unable to synthesize all relevant evidence. This paper employs a novel combination of natural language processing (NLP) and network science techniques to address this problem and to answer two questions: (1) how is health thematically interconnected with the Sustainable Development Goals (SDGs) in global science? (2) What specific themes have emerged in research at the intersection between SDG 3 ("Good health and well-being") and other sustainability goals?

Methods

After a descriptive analysis of the integration between SDGs in twenty years of global science (2001-2020) as indexed by dimensions.ai, we analyze abstracts of article

SUBMITTER: Smith TB 

PROVIDER: S-EPMC10311734 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature