Using Open Data to Detect Organized Crime Threats
Factors Driving Future Crime
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.
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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.
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.
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