Advanced Computational Victimology: Development of Sustainable Framework for Digital Environment Impact Assessment and Predictive Data Analytics

Abstract

This Paper aims to analyze the evolving nature of victimology within the context of expanding digital landscapes. It will critically examine the limitations of existing victimological frameworks in effectively addressing the complexities of digital victimization. The chapter introduces advanced computational methods (including machine learning, data mining, and predictive analytics) to enhance the field of victimology. Additionally, it seeks to develop a sustainable and adaptable framework for assessing the impact of digital environments on victimization. Lastly, the chapter explores the potential predictive analytics in forecasting emerging trends and patterns related to digital victimization.