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Research

Networks of crime and terrorism

To what extent are current judicial and other instruments sufficient to effectively combat crime and terrorism in its diverse forms? At the IAS we aim to develop models that can help to assess the effect of current intervention strategies and - together with law enforcement agencies - explore potential new approaches.

Photo: Francisco Galarza, Unsplash

There is little consensus on how to fight crime and terrorism most effectively. Yet the dynamics in criminal and terrorist networks show many characteristics of complex adaptive systems. Drawing on expertise from a range of disciplines, from criminology and law to sociology, computational science and artificial intelligence, we can begin to understand the patterns behind criminal and terrorist activity by disentangling the complexity of the ‘system’.

Using models to predict and mitigate criminal and terrorist activity

The goal of this research theme is to develop predictive agent-based and network models that will allow better recognition of early warning signals to better anticipate criminal and terrorist activities. With our models we aim to assess the effect of current intervention strategies and explore potential alternative forms of intervention.

Scientific Lead

prof. dr. T.M. (Tom) van Engers

Faculty of Law

Information Law

UvA Researchers

mr. dr. drs. J.E.B. (Jill) Coster van Voorhout PhD

Faculty of Law

Criminal Law

prof. dr. ing. Z.J.M.H. (Zeno) Geradts

Faculty of Science

Informatics Institute

prof. dr. M. (Marieke) de Goede

Faculty of Social and Behavioural Sciences

Programme group: Transnational Configurations, Conflict and Governance

prof. dr. mr. M.E. (Miranda) de Meijer

Faculty of Law

Criminal Law

dr. R. (Rick) Quax

Faculty of Science

Informatics Institute

Mr K. (Koen) van der Zwet MSc

Faculty of Science

Informatics Institute

Affiliated external researchers

Dr. Ana Isabel Barros

Principal researcher, TNO
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Dr. Paul Duijn

Strategic Intelligence Analyst, Fiscal Intelligence and Investigations Service (FIOD)
Fellow page