Criminal organizations exploit their presence on territories 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.

Campedelli, G. M., Calderoni, F., Paolucci, M., Comunale, T., Vilone, D., Cecconi, F., Andrighetto, G., A Policy-Oriented Agent-Based Model of Recruitment into Organized Crime, Paper, in Advances in Social Simulation Proceedings of the 15th Social Simulation Conference: 23–27 September 2019, (Mainz am Rhein, 23-27 September 2019), Springer, Cham 2021:<<SPRINGER PROCEEDINGS IN COMPLEXITY>>, 397-408. 10.1007/978-3-030-61503-1_38 [http://hdl.handle.net/10807/180886]

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

Campedelli, Gian Maria;Calderoni, Francesco;Comunale, Tommaso;
2021

Abstract

Criminal organizations exploit their presence on territories 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.
Inglese
Advances in Social Simulation Proceedings of the 15th Social Simulation Conference: 23–27 September 2019
15th Social Simulation Conference
Mainz am Rhein
Paper
23-set-2019
27-set-2019
978-3-030-61502-4
Springer
Campedelli, G. M., Calderoni, F., Paolucci, M., Comunale, T., Vilone, D., Cecconi, F., Andrighetto, G., A Policy-Oriented Agent-Based Model of Recruitment into Organized Crime, Paper, in Advances in Social Simulation Proceedings of the 15th Social Simulation Conference: 23–27 September 2019, (Mainz am Rhein, 23-27 September 2019), Springer, Cham 2021:<<SPRINGER PROCEEDINGS IN COMPLEXITY>>, 397-408. 10.1007/978-3-030-61503-1_38 [http://hdl.handle.net/10807/180886]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/180886
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