The Network/Complex Nature of Criminal Activity
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Our NetSci25 satellite is taking place on the 3rd June, from 8:30h to 12:30h in FSE C1.015, Paul-Henri Spaaklaan 1.
Programme for NetSci25 is available now!
We are organizing the Criminal Complexity Series workshops at both the Network Science Conference 2025 in Maastricht, the Netherlands and the Conference on Complex Systems 2025 in Sienna, Italy. Initially launched at CCS 2023 in Salvador, Brazil, this event aims to explore the insights that can be gained into crime, and its prevention, by studying it from a complex systems' perspective.
Crime is a multifaceted issue, and is the result of interactions across a number of levels: between groups of offenders, between offenders and victims, and with the environments, economies and societies in which crime takes place. The tools of complex systems therefore provide a way to understand how crime arises and the patterns it generates, as well as the impacts of preventative interventions. This workshop provides a platform to explore the insights that can be gained using these approaches.
Criminal Complexity provides a platform for academics, practitioners, and policymakers to converge and exchange insights. Participants will employ advanced methods from complexity science, while drawing on a number of other fields (e.g. criminology, sociology, physics, computer science & mathematics) to understand the intricate web of factors influencing criminal behaviour. Furthermore, a core aim of the workshop is to promote linkage between academic research and real-world practice, and to foster collaboration – the involvement of practitioners and policymakers is therefore strongly encouraged.
Join us and explore together the innovative intersection of network science and criminology. During the workshops, we will investigate how complex network analysis can unravel the interconnected structures underlying criminal activities. By mapping out intricate relationships among offenders, victims, and socio-economic environments, we aim to reveal hidden patterns and emergent behaviours that traditional methods might overlook. This approach not only enhances our theoretical understanding but also equips practitioners and policymakers with data-driven strategies to predict, prevent, and address crime more effectively in our increasingly networked world.
Programme for NetSci25 is available now!
We are organizing the Criminal Complexity Series workshops at both the Network Science Conference 2025 in Maastricht, the Netherlands and the Conference on Complex Systems 2025 in Sienna, Italy. Initially launched at CCS 2023 in Salvador, Brazil, this event aims to explore the insights that can be gained into crime, and its prevention, by studying it from a complex systems' perspective.
Crime is a multifaceted issue, and is the result of interactions across a number of levels: between groups of offenders, between offenders and victims, and with the environments, economies and societies in which crime takes place. The tools of complex systems therefore provide a way to understand how crime arises and the patterns it generates, as well as the impacts of preventative interventions. This workshop provides a platform to explore the insights that can be gained using these approaches.
Criminal Complexity provides a platform for academics, practitioners, and policymakers to converge and exchange insights. Participants will employ advanced methods from complexity science, while drawing on a number of other fields (e.g. criminology, sociology, physics, computer science & mathematics) to understand the intricate web of factors influencing criminal behaviour. Furthermore, a core aim of the workshop is to promote linkage between academic research and real-world practice, and to foster collaboration – the involvement of practitioners and policymakers is therefore strongly encouraged.
Join us and explore together the innovative intersection of network science and criminology. During the workshops, we will investigate how complex network analysis can unravel the interconnected structures underlying criminal activities. By mapping out intricate relationships among offenders, victims, and socio-economic environments, we aim to reveal hidden patterns and emergent behaviours that traditional methods might overlook. This approach not only enhances our theoretical understanding but also equips practitioners and policymakers with data-driven strategies to predict, prevent, and address crime more effectively in our increasingly networked world.
