Using Open Data to Detect Organized Crime Threats

Factors Driving Future Crime

by Henrik Legind Larsen

Number of pages: 297

Publisher: Springer

BBB Library: Booklets

ISBN: 978-3319527024

About the Author

Henrik Legind Larsen, professor, Aalborg University, Denmark, and CEO of Legind Technologies, Denmark, was scientific-technical manager of the ePOOLICE project and organiser of the workshop on Factors Driving Future Crime that gave rise to this book. His main research is in intelligent information systems, flexible information access, and fuzzy logic based technologies.


Editorial Review

In counter-terrorism and other forms of crime prevention, foresight about potential threats is vitally important and this information is increasingly available via electronic data sources such as social media communications. However, the amount and quality of these sources is varied, and researchers and law enforcement need guidance about when and how to extract useful information from them.

Book Reviews

"This work provides an innovative look at the use of open data for extracting information to detect and prevent crime, and also explores the link between terrorism and organized crime."

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Wisdom to Share

The concept of organised crime is complex and comprises numerous dimensions, all of which are relevant to its existence and development.

From an individual point of view, we need to make more progress on the explanations applicable to the criminal typology of adults.

This complicates the possible comparisons that could be made in the long run (if there is an essential current criminal behaviour, tomorrow it could be the opposite).

People gladly contribute to their own de-privatization, but at the same time, they fear government surveillance.

Criminal phenomena are more a question of evolution and adaptation than novelty.

Data involved in predictive policing studies come from heterogeneous sources and allow many different analytical techniques, like data mining, crime mapping, geospatial forecasting or social network analysis.

Traditional predictive policing approaches generally extrapolate spatiotemporal patterns observed in crime records.

There are two ways to approach the study of the future: the first, from the present, through a descriptive analysis andthe second, from itself, in a backcasting process.

Criminal groups' revenues received from their collaboration with terrorists bring a particular encouragement to the evolution of illicit economies.

The concern on terrorism and crime junctures probabilities is largely justified, especially when everything suggests that these threats will follow us for a long time.