Português
Ciência_Iscte
Publications
Publication Detailed Description
How is social work research addressing the Sustainable Development Goals? A machine learning approach to tackling the 2030 Agenda
Journal Title
International Social Work
Year (definitive publication)
2026
Language
English
Country
United Kingdom
More Information
Web of Science®
This publication is not indexed in Web of Science®
Scopus
This publication is not indexed in Scopus
Google Scholar
This publication is not indexed in Google Scholar
This publication is not indexed in Overton
Abstract
Social work is increasingly engaging with the United Nations Sustainable Development Goals. The aim of this study is to analyse Sustainable Development Goals in social work research and identify their alignment with the 17 Sustainable Development Goals, using a machine learning text-classification approach on 4409 articles (2016–2024). Results show that social work research most frequently addresses reduced inequalities (Sustainable Development Goal 10), decent work and economic growth (Sustainable Development Goal 8), quality education (Sustainable Development Goal 4) and justice and strong institutions (Sustainable Development Goal 16), often in interconnected ways. In contrast, environmental goals are underrepresented. We discuss implications for broadening social work towards the full 2030 Agenda.
Acknowledgements
--
Keywords
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Other Social Sciences - Social Sciences
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência_Iscte. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
