Elsevier, The Lancet, Volume 399, 5 March 2022
Elsevier, Nurse Education Today, Volume 110, March 2022
Social justice education in nursing: An integrative review of teaching and learning approaches and students' and educators' experiences
Objectives: To synthesize literature about teaching social justice to nursing students and identify approaches for effective teaching of social justice issues in nursing education. Design: An integrative review. Data sources: Literature was searched in CINAHL, PubMed, Scopus, Science Direct, and OVID databases. In total, 32 articles were assessed for full-text eligibility, and 18 articles published from January 2011 until August 2021 were critically appraised and reviewed. Review methods: Articles were appraised using Mixed Methods Appraisal Tool.
Elsevier, Current Opinion in Behavioral Sciences, Volume 42, December 2021
Climate change cognition and education: given no silver bullet for denial, diverse information-hunks increase global warming acceptance
Climate change's particular ‘perfect storm’ problem-nature requires educators and communicators to acknowledge that a single ‘silver bullet’ intervention that eliminates ignorance and denial regarding global warming may never emerge. However, diverse kinds of information-hunks and educational initiatives do incrementally increase acceptance (and alarm) regarding climate change, thus decreasing ignorance/denial.
Elsevier, The Lancet Public Health, Volume 6, June 2021
Elsevier, The Lancet Digital Health, Volume 3, March 2021
The Lancet Digital Health, Volume 3, March 2021
This Comment supports SDGs 3 and 10 by highlighting the role of data scientists in challenging racism and discrimination. The Comment highlights how structural inequalities in society are easily encoded in datasets and in the application of data science, which can reinforce existing injustices.
Elsevier, Computer Law and Security Review, Volume 38, September 2020
A vulnerability analysis: Theorising the impact of artificial intelligence decision-making processes on individuals, society and human diversity from a social justice perspective
The article examines a number of ways in which the use of artificial intelligence technologies to predict the performance of individuals and to reach decisions concerning the entitlement of individuals to positive decisions impacts individuals and society. It analyses the effects using a social justice lens. Particular attention is paid to the experiences of individuals who have historically experienced disadvantage and discrimination.
Elsevier, The Lancet, Volume 393, 9 - 15 February 2019
Elsevier, World Development, Volume 66, February 01, 2015
Serious questions remain about the ability of NGOs to meet long-term transformative goals in their work for development and social justice. We investigate how, given their weak roots in civil society and the rising tide of technocracy that has swept through the world of foreign aid, most NGOs remain poorly placed to influence the real drivers of social change.