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A collaborative approach for incorporating forensic case data into crime investigation using criminal intelligence analysis and visualisation
Affiliation:1. Criminalistic Service of the Guardia Civil, C/Guzmán el Bueno 110, 28003 Madrid, Spain;2. Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering, Multipurpose Building of Chemistry, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.600, 28871 Alcalá de Henares, Madrid, Spain;3. University Institute of Research in Police Sciences, Multipurpose Building of Chemistry, University of Alcalá, Ctra. Madrid-Barcelona, Km. 33.600, 28871 Alcalá de Henares, Madrid, Spain;1. Sheffield Community Services, Jordanthorpe Health Centre, 1 Dyche Close, Sheffield, England, S8 8DJ, United Kingdom;2. Glasgow Caledonian University, Cowcaddens Road, Glasgow, Scotland, G4 0BA, United Kingdom;1. School of Mathematical and Natural Sciences, New College of Interdisciplinary Arts and Sciences, Arizona State University-West Campus, 4701 W. Thunderbird Rd., Glendale, AZ 85306, United States;2. School of Criminal Justice and Criminalistics, California State University, Los Angeles, 5151 State University Drive, Los Angeles, CA 90032, United States
Abstract:There is an increasing awareness that the articulation of forensic science and criminal investigation is critical to the resolution of crimes. However, models and methods to support an effective collaboration between the partners are still poorly expressed or even lacking.Three propositions are borrowed from crime intelligence methods in order to bridge this gap: (a) the general intelligence process, (b) the analyses of investigative problems along principal perspectives: entities and their relationships, time and space, quantitative aspects and (c) visualisation methods as a mode of expression of a problem in these dimensions.Indeed, in a collaborative framework, different kinds of visualisations integrating forensic case data can play a central role for supporting decisions. Among them, link-charts are scrutinised for their abilities to structure and ease the analysis of a case by describing how relevant entities are connected. However, designing an informative chart that does not bias the reasoning process is not straightforward. Using visualisation as a catalyser for a collaborative approach integrating forensic data thus calls for better specifications.
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