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Framework Guides Data Scientific Investigations of Organized Crime


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A white paper presenting a data science framework for investigations of organized crime has been prepared by researchers at the University of Bristol, working with the Dutch National Police.

"Towards Data Scientific Investigations: A Comprehensive Data Science Framework and Case Study for Investigating Organized Crime and Serving the Public Interest," was presented at the Third Interpol-United Nations Interregional Crime and Justice Research Institute Global Meeting on AI for Law Enforcement.

The framework, called CSAE (Collect, Store, Analyze, and Engage), consists of a business process, methodology, policy agenda, and public interest philosophy for data scientific operations.

The framework "promotes harmonization between law enforcement agencies as well as critical thinking by academics," says Erik van de Sandt, Honorary Research Fellow in the Department of Computer Science at the University of Bristol. "Both the effectiveness and legitimacy of criminal investigations are cornerstones of liberal democracies."

From University of Bristol
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