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Title: Arquitectura de un sistema de ayuda a la prevención de casos de violencia de género en España
Author: Plo Moreno, Javier
Tutor: Subirats, Laia  
Others: Prados Carrasco, Ferran  
Abstract: Gender violence is one of the bloodiest problems that we currently have in society. According to the INE, (National Institute of Statistics) and other government sources, victims of gender violence in Spain increase each year, as well as the rate of women over 14 years of age who are victims of such violence. This project proposes the architecture of a system that helps to detect possible situations of gender violence by building detailed profiles of the aggressors and victims based on previous cases, and through Machine Learning techniques, define models that can be applied to the general population. This work aims to raise awareness about the problem of gender violence, increase knowledge about the processes that lead a non-violent person to be so in different areas, and through the defined models, detect possible cases in advance and relate possible aggressors and victims. This system could allow the state security forces and judges to determine geographical areas and the most optimal moments in which to carry out concrete actions at a preventive level, as well as other state agencies and institutions to carry out training and awareness actions on gender violence. It is a truly ambitious architecture, which can involve many interlocutors to obtain the necessary information: police reports, judicial files, economic and medical data, reports from social services, civil registry, social networks, and data from existing systems such as ATENPRO and VIOGEN.
Keywords: machine learning
gender studies
risk prevention
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 26-Jan-2023
Publication license:  
Appears in Collections:Trabajos finales de estudios de género
Bachelor thesis, research projects, etc.

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