• Title/Summary/Keyword: Sexual Violence Offenders Under the Age of 13

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A Study on Model for Social Return for the Prevention of Recidivism of Sexual Violence Criminals Based on Big Data (빅데이터 기반 성폭력범죄자 재범방지를 위한 사회지원모델에 관한 연구)

  • Oh, Sei Youen
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.535-542
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    • 2021
  • Purpose: The purpose of this study is to prevent recidivism by recognizing the seriousness of recidivism against sexual offenders under the age of 13 and providing customized social adaptation services based on risk. Method: The study evaluate the efficiency of existing models and proposed model systems, and compare and review what features and operational differences exist from existing models. Result: The proposed model will collect data from related agencies on sexual violence offenders with a high risk of recidivism and classify them into three risk groups through risk algorithms to provide social adaptation services for each risk group. In addition, by monitoring primary social support matching data, storing and re-analyzing the results data to rematch social support services, the model differs from the existing model in preventing recidivism of sexual violence offenders from a long-term perspective. Conclusion: The proposed model of this study is meaningful in that it proposed the basic data of a response system to prevent recidivism from a long-term perspective of sexual offenders with the highest risk of recidivism by collecting and analyzing data on sexual offenders.