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A Policy-Oriented Agent-Based Model of Recruitment into Organized Crime

Campedelli, G. M. (author)
Transcrime - Universita Cattolica del SacroCuore, Milan, 20123, ItalyTranscrime - Universita Cattolica del SacroCuore, Milan, Italy
Calderoni, F. (author)
Transcrime - Universita Cattolica del SacroCuore, Milan, 20123, ItalyTranscrime - Universita Cattolica del SacroCuore, Milan, Italy
Paolucci, M. (author)
National Research Council - Institute of Cognitive Sciences and Technologies - Laboratory of Agent-based Social Simulation, Rome, Italy
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Comunale, T. (author)
Transcrime - Universita Cattolica del SacroCuore, Milan, 20123, ItalyTranscrime - Universita Cattolica del SacroCuore, Milan, Italy
Vilone, D. (author)
National Research Council - Institute of Cognitive Sciences and Technologies - Laboratory of Agent-based Social Simulation, Rome, Italy
Cecconi, F. (author)
National Research Council - Institute of Cognitive Sciences and Technologies - Laboratory of Agent-based Social Simulation, Rome, Italy
Andrighetto, Giulia (author)
Mälardalens universitet,Utbildningsvetenskap och Matematik,National Research Council - Institute of Cognitive Sciences and Technologies - Laboratory of Agent-based Social Simulation, Rome, Italy
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 (creator_code:org_t)
2021-04-27
2021
English.
In: Springer Proceedings in Complexity. - Cham : Springer Science and Business Media B.V.. - 9783030615024 ; , s. 397-408
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Criminalorganizationsexploittheirpresenceonterritories and local communities to recruit new workforce in order to carry out their criminal activities and business. The ability to attract individuals is crucial for maintaining power and control over the territories in which these groups are settled. This study proposes the formalization, development and analysis of an agent-based model (ABM) that simulates a neighborhood of Palermo (Sicily) with the aim to understand the pathways that lead individuals to recruitment into organized crime groups (OCGs). Using empirical data on social, economic and criminal conditions of the area under analysis, we use a multi-layer network approach to simulate this scenario. As the final goal, we test different policies to counter recruitment into OCGs. These scenarios are based on two different dimensions of prevention and intervention: (i) primary and secondary socialization and (ii) law enforcement targeting strategies.

Subject headings

SAMHÄLLSVETENSKAP  -- Annan samhällsvetenskap (hsv//swe)
SOCIAL SCIENCES  -- Other Social Sciences (hsv//eng)

Keyword

Criminal involvement
Criminal organizations
Disruption strategies
Law enforcement
Public Policy

Publication and Content Type

ref (subject category)
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