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.

A Policy-Oriented Agent-Based Model of Recruitment into Organized Crime / Campedelli, Gian Maria; Calderoni, Francesco; Comunale, Tommaso; Paolucci, Mario; Vilone, Daniele; Cecconi, Federico; Andrighetto, Giulia. - ELETTRONICO. - (2021). ((Intervento presentato al convegno 15th Social Simulation Conference tenutosi a Mainz am Rhein nel 23/09/2019-27/09/2017.

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

Campedelli, Gian Maria;Calderoni, Francesco;
2021-01-01

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.
Advances in Social Simulation Proceedings of the 15th Social Simulation Conference
Cham
Springer
978-3-030-61503-1
Campedelli, Gian Maria; Calderoni, Francesco; Comunale, Tommaso; Paolucci, Mario; Vilone, Daniele; Cecconi, Federico; Andrighetto, Giulia
A Policy-Oriented Agent-Based Model of Recruitment into Organized Crime / Campedelli, Gian Maria; Calderoni, Francesco; Comunale, Tommaso; Paolucci, Mario; Vilone, Daniele; Cecconi, Federico; Andrighetto, Giulia. - ELETTRONICO. - (2021). ((Intervento presentato al convegno 15th Social Simulation Conference tenutosi a Mainz am Rhein nel 23/09/2019-27/09/2017.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/345434
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