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Big Data and the Transformation of Psychological Prevention Models for Juvenile Delinquency
Abstract
This article examines the pivotal role of big data in transforming psychological prevention models for juvenile delinquency. With the rapid advancement of information technology, big data offers a new lens through which to understand the criminal psychology of minors. Through the systematic collection and analysis of relevant data, it becomes possible to more accurately identify the psychological traits and potential risk factors associated with juvenile delinquency. The application of big data has facilitated a shift from traditional, experience-based approaches to more scientific, data-driven precision prevention. This transformation not only enhances the effectiveness and specificity of intervention efforts but also provides stronger support for the healthy development of adolescents. In summary, big data presents both new opportunities and challenges for psychological prevention and holds significant promise for improving overall prevention outcomes.
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