This Research Paper supports SDGs 5 and 10 by applying a decision-tree approach to identify subgroups of women at increased risk of IPV across 48 LMICs and to subsequently help design targeted interventions, and by suggesting the need for population-wide approaches in parallel for a large proportion of women with no identifiable risk factors.
Purpose: The purpose of this study was to explore male nurses’ experiences of workplace gender discrimination and sexual harassment in South Korea.
Concern exists over gender (and other) bias embedded in widely-used AI systems and models. Authors built an open-source tool to help detect bias in classification models: helps to show whether or not AI model is unbiased. Aim to contribute towards action to mitigate the socially harmful effect of machine bias.
Low-income households (LIHs) have experienced increased poverty and inaccess to healthcare services during the COVID-19 pandemic, limiting their ability to adhere to health-protective behaviors.
Bangladesh is one of the world's strongest emerging economies.
In low-income and middle-income countries, such as those in sub-Saharan Africa and Latin America, the COVID-19 pandemic has had substantial implications for women's wellbeing.
Introduction: Women continue to be underrepresented in oncology clinical trials, leading to poor, underpowered subgroup analyses that cannot be generalized to cancer patients in practice.
Mobility is a critical element of one's quality of life regardless of one's age.
It has now been more than thirty years since Joan Wallach Scott (1986) argued that gender is a legitimate and necessary category of historical analysis that applies to all fields, including genetic
