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Integrating forensic information in a crime intelligence database.

Quentin Rossy1, Sylvain Ioset, Damien Dessimoz

  • 1Université de Lausanne, Institut de Police Scientifique, Batochime, 1015 Lausanne-Dorigny, Switzerland. quentin.rossy@unil.ch

Forensic Science International
|November 7, 2012
PubMed
Summary

Swiss intelligence units created a shared database to analyze high-volume crimes, integrating forensic data like DNA and shoeprints to detect crime series. Forensic intelligence integration presents challenges but improves crime analysis and supports future research.

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Area of Science:

  • Criminology
  • Forensic Science
  • Data Analysis

Background:

  • Six Swiss cantons established a joint database in 2008 for high-volume crime analysis.
  • Daily police reports are processed to identify crime patterns and understand criminal environments.

Purpose of the Study:

  • To describe the integration of forensic intelligence into a crime intelligence database.
  • To analyze the effectiveness and challenges of this integrated system.

Main Methods:

  • Utilizing a shared database for analyzing police-reported events.
  • Integrating forensic data, including DNA profiles, shoeprints, and images, to detect crime series.
  • Statistical analysis of retrospective data from 2009-2011.

Main Results:

  • The system successfully detects and confirms crime repetitions through integrated forensic data.
  • Analysis of a 2009-2011 dataset provides insights into detected crime series.
  • Time required for forensic intelligence acquisition is a critical factor.

Conclusions:

  • The integration process faced challenges in data acquisition and forensic database models.
  • Operational solutions and procedures were developed and are discussed.
  • This integrated approach forms a foundation for developing advanced forensic intelligence models.