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.
Inglese
2025
Giovanna Boccuzzo, Enrico Bovo, Marica Manisera, Luigi Salmaso
Innovation & Society: Statistics and Data Science for Evaluation and Quality – Book of Short Papers
311
318
978-88-5495-849-4
Italy
Padova
CLEUP – “Cooperativa Libraria Editrice Università di Padova”
esperti anonimi
internazionale
A stampa
Settore SECS-S/05 - Statistica Sociale
Settore SECS-S/03 - Statistica Economica
Settore MAT/06 - Probabilita' e Statistica Matematica
Settore STAT-03/B - Statistica sociale
Settore STAT-02/A - Statistica economica
Settore MATH-03/B - Probabilità e statistica matematica
2
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10808/69308
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