It is estimated that transnational organised crime annually generates around 900 billion euros worldwide, at the cost of numerous human lives, economic development, social stability and democratic peace. Compared to legitimate networks, criminal networks deliberately operate under covert conditions and outside the boundaries of the law. Detecting and disrupting criminal networks is therefore one of the biggest challenges for law enforcement agencies across the world. Paul Duijn contributes to this endeavour by introducing a data-driven approach to the empirical study of organised crime.
P.A.C. Duijn, Detecting and Disrupting Criminal Networks: A Data Driven Approach.
Prof. A.G. Hoekstra
Prof. Z.J.M.H. Geradts