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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:

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:

Computational forensics (CF) is a quantitative approach to the methodology of the forensic sciences. It involves computer-based modeling, computer simulation, analysis, and recognition in studying and solving problems posed in various forensic disciplines. CF integrates expertise from computational science and forensic sciences.

A broad range of objects, substances and processes are investigated, which are mainly based on pattern evidence, such as toolmarks, fingerprints, shoeprints, documents etc., but also physiological and behavioral patterns, DNA, digital evidence and crime scenes.

Computational methods find a place in the forensic sciences in several ways, as for example:

Algorithms implemented are from the fields of signal and image processing, computer vision,computer graphics, data visualization, statistical pattern recognition, data mining, machine learning, and robotics.


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