RELX SDG Customer Awards aim to recognise RELX customers who share our commitment to driving action in support of the United Nations Sustainable Development Goals. Read more about the 2022 winners.
A Commission, in support of SDG 3 and 5, presenting the evidence to identify and reduce the risk of intimate partner violence and its related harms, and establishing a roadmap for future work across mental health services, research, and policy.
This Review supports SDGs 5 and 13, analysing the evidence on the effect of extreme weather events on gender based violence. Concluding that the increases in gender based violence during or after such events is linked to various factors, including economic instability, mental stress, and disrupted infrastructure.
An Article in support of SDGs 3 and 5, showing a high prevalence of intimate partner violence against infertile women globally, and highlighting the need for screening, counselling, and structural interventions to mitigate this issue at multiple levels.
This Article supports SDG 3 and 5 by exploring the indirect effects of COVID-19 on gender disparities globally, showing intensified levels of pre-existing widespread inequalities for a range of health, social, and economic indicators during the COVID-19 pandemic.
This Article supports SDGs 3 and 5, focusing on the association between common urogenital infections and cervical neoplasia in a cohort of women.
This Article supports SDGs 3, 5, and 10 focusing on the religious and cultural aspects that influence Arab American women's perspectives on health-care in the USA.
This Editorial supports SDGs 3 and 5, exploring career-related challenges of childbearing and highlighting opportunities for radiologists in various career stages, so that they can make informed childbearing decisions.
Elsevier,
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications, 2022, pp 57-75
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the challenges and opportunities associated with Big Data in healthcare, from a sex and gender perspective.
Elsevier,
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications, 2022, pp 77-93
This content aligns with Goal 5: Gender Equality and Goal 9: Industry, Innovation, and Infrastructure by providing an overview of the risks of sex and gender biases in Artificial Intelligence evolution, and the ways in which we can prevent them.
