👉 Rape computing refers to the use of computational techniques and data analysis to study, prevent, and respond to sexual violence. This field leverages big data, machine learning, and network analysis to identify patterns, predict high-risk areas, and understand the dynamics of sexual assault. By analyzing large datasets from various sources—such as social media, emergency calls, and public records—researchers can uncover trends and vulnerabilities that inform policy-making, improve law enforcement strategies, and support victims. Rape computing aims to enhance public safety and foster a more informed approach to addressing sexual violence through data-driven insights.
