Elsevier, Women's Studies International Forum, Volume 90, 1 January 2022
Featuring original data, this article examines an elaborate network of gendered patterns in the faculty labor pool for the twenty-two English doctoral programs in Canada.
In 2011 ICAO published a report about projected pilot and training capacity shortage (ICAO, 2011).
Background: Nutrient deficiencies limit human development and could be caused by the high cost of locally available foods needed to meet nutrient requirements.
Background: Intimate partner violence (IPV) is the leading cause of women's homelessness. However, what works best to respond to the needs of women experiencing IPV and homelessness remains unclear.
Latin America has been particularly hard hit by the COVID-19 syndemic, including the associated economic fallout that has threatened the livelihoods of most families.
Background: Menstrual health is essential for gender equality and achieving the sustainable development goals.
A Review on the mental health of transgender and gender non-conforming people in China, in the context of SDGs 3 and 5, focusing on the specific actions needed to improve mental health in this population by reducing discrimination and fostering social awareness and acceptance.
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.

Journal of Responsible Technology,
Volume 9,
ISSN 2666-6596

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.