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Privacy-Preserving Data Integration for Recidivism Assessment

Year: 2025
Type: article
Abstract: The emergence of Digital Justice in conjunction with advanced Data Analysis techniques presents the opportunity to advance the criminal justice system toward an innovative Data-Driven approach.An important issue of public safety is the analysis of legal recidivism.Assessing recidivism is a complex measurement problem that necessitates reconstructing a subject's criminal history from criminal records, which usually reside in different autonomous databases.In addition, the collection and processing of sensitive legal-related data about individuals imposes consideration of privacy legislation and confidentiality implications.This paper presents the design and development of a Proof of Concept (PoC) for a Privacy-Preserving Data Integration (PPDI) framework to establish a Data Warehouse across criminal and court sources within the Italian Justice Domain and a Data Mart to assess the recidivism phenomena.
Language: English
Open Access status: diamond
OpenAlex ID: W4411514728
FWCI:
Cites: 10
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Related to: 10