Dr. Melissa Corbally

Summary

Gender-based violence (GBV) is a global issue. It may affect all genders, but women and girls are more often affected by GBV. Additionally, GBV is understood as maintaining a system of oppression (Jewkes et al., 2015) and a gender hierarchy. Social and gender norms, prejudices and gender stereotypes are acknowledged to play an important role in maintaining GBV by enhancing, or minimising GBV. In many cases, prevention of GBV focuses on empowerment, training and creating and raising awareness in the population. Prevention addresses norms, prejudices, customs and traditions that may be harmful or increase power disparities between genders. Domestic violence (DV) is one facet of GBV. It ranges from any abuse and violence experienced in the private sphere, more specifically at home, and includes several forms of violence, such as psychological/emotional (incl. economical), physical, and sexual violence. Although complex, the relations between women's empowerment and gender equality are nevertheless seen as protective factors regarding DV (Wemrell et al., 2020).

Funding Agency

EU Commission

Programme

Citizens, Equality, Rights and Values Programme (CERV)

Person Months

25

Summary

This project will seek to bring together international experts in the area of violence against men with a view to creating an international community of practice and consortium to apply for research funding

Funding Agency

Social Sciences and Humanities Research Council (Canada)

Summary

This partnership grant was submitted to enhance international collaborations in the area of violence and abuse against fathers

Funding Agency

Social Sciences and Humanities Research Council

Summary

This project seeks to explore the content, nature and characteristics of call data received by the Men's Aid national helpline service. Objectives: (1) To explore typical call characteristics (e.g. nature of calls (crisis or information), type of domestic violence and abuse (DVA) documented and call outcomes) (2) To carry out exploratory data analysis to understand possible relationships and associations that might be present between variables of interest (e.g. marital status and nature of calls) (3) To examine trends in helpline utilisation over time (e.g. how call characteristics have evolved pre and post Covid-19 period) using repeated cross sectional analysis.