Gender-based violence (GBV) remains a critical global issue, requiring proactive prevention strategies to mitigate its long-term impact. This study examines the evolving landscape of GBV prevention, highlighting a shift from reactive interventions to forward- looking strategies. Using the futures cone and three horizons framework, we developed a sustainable model for GBV mitigation. Through Natural Language Processing analysis of survivor narratives, we identified linguistic and semantic patterns that reveal resilience and opportunities for early intervention. Our data-driven approach provides policymakers and advocates with actionable insights to drive systemic change and reduce GBV prevalence.
Predicting and Preventing gender-based violence: A strategic framework for long-term change, 2025.
Predicting and Preventing gender-based violence: A strategic framework for long-term change
Zavarrone, Emma;Forciniti, Alessia
2025-01-01
Abstract
Gender-based violence (GBV) remains a critical global issue, requiring proactive prevention strategies to mitigate its long-term impact. This study examines the evolving landscape of GBV prevention, highlighting a shift from reactive interventions to forward- looking strategies. Using the futures cone and three horizons framework, we developed a sustainable model for GBV mitigation. Through Natural Language Processing analysis of survivor narratives, we identified linguistic and semantic patterns that reveal resilience and opportunities for early intervention. Our data-driven approach provides policymakers and advocates with actionable insights to drive systemic change and reduce GBV prevalence.| File | Dimensione | Formato | |
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Book_IES25_p335-342.pdf
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