CEVAW Analysis
Books, Articles and PhDs
The lack of data is a major barrier to comprehending conflict-related sexual violence. Can data science methods analyze news reports promptly and accurately? This compares manual, machine-learning and Generative AI analysis of thousands of media reports.
This study explores how reform to state-level institutional norms and practices proceeds in an environment with heavy dependence on the military state sector to cooperate in preventing CRSV.
Reports & Resources
This report presents the findings from a two-day research dialogue workshop conducted in November 2025 in Port Moresby, Papua New Guinea. This dialogue workshop was suggested after the CEVAW Justice Denied conference was convened in June 2025, where the focus was on impunity for conflict-related sexual violence across the Indo-Pacific. It was suggested that Papua New Guinea is an important, yet neglected case of conflict-related sexual violence (CRSV) in United Nations reports and assessments of high risk CRSV locations despite documented sexual and gender-based violence in association with tribal conflicts, elections, and land disputes.
Datasets
The codebook explains the terms and methodological criteria used to train Generative AI tools to identify and analyse conflict-related SGBV media reports.