Natural Language Processing and Network Analysis Provide Novel Insights on Policy and Scientific Discourse Around Sustainable Development Goals

Overview

Journal Sci Rep

Specialty Science

Date 2021 Nov 18

PMID 34789820

Citations 6

Authors

Thomas Bryan Smith

Raffaele Vacca

Luca Mantegazza

Ilaria Capua

Affiliations

Soon will be listed here.

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 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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References

Smith T, Vacca R, Krenz T, McCarty C . Great minds think alike, or do they often differ? Research topic overlap and the formation of scientific teams. J Informetr. 2020; 15(1). PMC: 7742966. DOI: 10.1016/j.joi.2020.101104. View

Talukdar D, Seenivasan S, Cameron A, Sacks G . The association between national income and adult obesity prevalence: Empirical insights into temporal patterns and moderators of the association using 40 years of data across 147 countries. PLoS One. 2020; 15(5):e0232236. PMC: 7219711. DOI: 10.1371/journal.pone.0232236. View

Barofsky J, Anekwe T, Chase C . Malaria eradication and economic outcomes in sub-Saharan Africa: Evidence from Uganda. J Health Econ. 2015; 44:118-36. DOI: 10.1016/j.jhealeco.2015.08.002. View

Shrivastava P, Stafford Smith M, OBrien K, Zsolnai L . Transforming Sustainability Science to Generate Positive Social and Environmental Change Globally. One Earth. 2021; 2(4):329-340. PMC: 7181980. DOI: 10.1016/j.oneear.2020.04.010. View

Lange S, Vollmer S . The effect of economic development on population health: a review of the empirical evidence. Br Med Bull. 2017; 121(1):47-60. DOI: 10.1093/bmb/ldw052. View

Bennich T, Weitz N, Carlsen H . Deciphering the scientific literature on SDG interactions: A review and reading guide. Sci Total Environ. 2020; 728:138405. DOI: 10.1016/j.scitotenv.2020.138405. View

Nilsson M, Griggs D, Visbeck M . Policy: Map the interactions between Sustainable Development Goals. Nature. 2016; 534(7607):320-2. DOI: 10.1038/534320a. View

Capua I, Giovannini E . Coding system to track research progress towards SDGs. Nature. 2019; 572(7768):178. DOI: 10.1038/d41586-019-02367-0. View

Chung N, Miasojedow B, Startek M, Gambin A . Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data. BMC Bioinformatics. 2019; 20(Suppl 15):644. PMC: 6929325. DOI: 10.1186/s12859-019-3118-5. View

10.

Bloom D, Canning D, Kotschy R, Prettner K, Schunemann J . Health and Economic Growth: Reconciling the Micro and Macro Evidence. World Dev. 2024; 178. PMC: 10921999. DOI: 10.1016/j.worlddev.2024.106575. View

11.

Guimera R, Uzzi B, Spiro J, Nunes Amaral L . Team assembly mechanisms determine collaboration network structure and team performance. Science. 2005; 308(5722):697-702. PMC: 2128751. DOI: 10.1126/science.1106340. View

12.

Fouad F, Sparrow A, Tarakji A, Alameddine M, El-Jardali F, Coutts A . Health workers and the weaponisation of health care in Syria: a preliminary inquiry for The Lancet-American University of Beirut Commission on Syria. Lancet. 2017; 390(10111):2516-2526. DOI: 10.1016/S0140-6736(17)30741-9. View

13.

. Time to revise the Sustainable Development Goals. Nature. 2020; 583(7816):331-332. DOI: 10.1038/d41586-020-02002-3. View

14.

Collste D, Pedercini M, Cornell S . Policy coherence to achieve the SDGs: using integrated simulation models to assess effective policies. Sustain Sci. 2018; 12(6):921-931. PMC: 6086251. DOI: 10.1007/s11625-017-0457-x. View

15.

Jones B, Wuchty S, Uzzi B . Multi-university research teams: shifting impact, geography, and stratification in science. Science. 2008; 322(5905):1259-62. DOI: 10.1126/science.1158357. View

16.

Pedercini M, Arquitt S, Collste D, Herren H . Harvesting synergy from sustainable development goal interactions. Proc Natl Acad Sci U S A. 2019; 116(46):23021-23028. PMC: 6859371. DOI: 10.1073/pnas.1817276116. View

17.

Newman M . Mixing patterns in networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2003; 67(2 Pt 2):026126. DOI: 10.1103/PhysRevE.67.026126. View

18.

Pannu J, Barry M . The state inoculates: vaccines as soft power. Lancet Glob Health. 2021; 9(6):e744-e745. PMC: 7946411. DOI: 10.1016/S2214-109X(21)00091-7. View

19.

Alcamo J, Thompson J, Alexander A, Antoniades A, Delabre I, Dolley J . Analysing interactions among the sustainable development goals: findings and emerging issues from local and global studies. Sustain Sci. 2020; 15(6):1561-1572. PMC: 7592180. DOI: 10.1007/s11625-020-00875-x. View

20.

Xu Z, Chau S, Chen X, Zhang J, Li Y, Dietz T . Assessing progress towards sustainable development over space and time. Nature. 2020; 577(7788):74-78. DOI: 10.1038/s41586-019-1846-3. View