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Horizon Scanning for Law Enforcement Agencies: Identifying Factors Driving the Future of Organized Crime

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Using Open Data to Detect Organized Crime Threats

Abstract

The complexity and volume of modern day criminality is stretching the capacity and capability of law enforcement agencies (LEAs) across the world to near breaking point. The increasingly networked and sophisticated approach of organized crime groups (OCGs) is a major contributory factor. Driven by globalization and the technological advancements of the Internet and smart mobile communications, OCGs are no longer defined by nationality or ethnicity and act undeterred by geographic boundaries. To combat this new phenomenon, LEAs are developing their responses to regain a competitive advantage over their adversaries. This chapter serves to propose and articulate a methodology to be used by LEAs to identify factors which are driving future crime through horizon scanning for open sources of information (OSINF), leading to the development of actionable open sources of intelligence (OSINT), which is fast becoming an integral part of the prevention, investigation and detection of contemporary organized crime.

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Notes

  1. 1.

    Europol Organised Crime Threat Assessment Report (2015).

  2. 2.

    https://www.epoolice.eu/.

  3. 3.

    See, for instance, as discussed throughout Ratcliffe (2016).

  4. 4.

    Federal Bureau of Investigation, Intelligence Branch, Intelligence Collection Disciplines https://www.fbi.gov/about-us/intelligence/disciplines.

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Correspondence to Andrew Staniforth .

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Ingle, T., Staniforth, A. (2017). Horizon Scanning for Law Enforcement Agencies: Identifying Factors Driving the Future of Organized Crime. In: Larsen, H., Blanco, J., Pastor Pastor, R., Yager, R. (eds) Using Open Data to Detect Organized Crime Threats. Springer, Cham. https://doi.org/10.1007/978-3-319-52703-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-52703-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52702-4

  • Online ISBN: 978-3-319-52703-1

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