Computational criminology

From Wikipedia, the free encyclopedia

Computational criminology is an interdisciplinary field which uses computing science methods to formally define criminology concepts, improve our understanding of complex phenomena, and generate solutions for related problems. Computing science methods being used include:

• Algorithms
• Data Mining
• Data Structures
• Formal Methods
• Software Development Process

Computational criminology is interdisciplinary in the sense that both criminologists and computing scientists work together to ensure that computational models properly match their theoretical and real-world counterparts.

Areas of criminology for which computational approaches are being used include:

• Environmental Criminology
• Identity Theft
• Justice

[edit] References

• P. L. Brantingham, U. Glässer, P. Jackson, B. Kinney, and M. Vajihollahi. A Computational Model for Simulating Spatial and Temporal Aspects of Crime in Urban Environments. In Liu, L. and J. Eck, eds., Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. Information Science Reference, 2008, ISBN 978-1-59904-591-7.

[edit] External links

• Institute for Canadian Urban Research Studies (ICURS)
• The Mastermind Project