Femicide Risk Assessment and Mitigation through Evidence

Femicide, the gender-based killing of women, remains a persistent global issue despite decades of research and policy interventions. In Denmark, an estimated 15 women and girls are killed by men each year, a rate that has remained unchanged for 25 years. While risk assessment tools like the Danger Assessment (DA) and DASH RIC have been developed to evaluate high-risk cases, many perpetrators are known to authorities beforehand, highlighting systemic gaps in risk identification and intervention. This PhD project combines survivor narratives, institutional data, and machine learning to develop a comprehensive, predictive model for femicide prevention