Skip to main content

Augmenting Crime Predictions with Engagement: Synergy of Predictive Policing and Community Policing Paradigms

  • Chapter
  • First Online:
Synergy of Community Policing and Technology

Part of the book series: SpringerBriefs in Criminology ((BRIEFSPOLICI))

  • 413 Accesses

Abstract

Community Policing (CP), which refers to communities’ participation in police actions, is an evolving topic having a potential impact on reducing crime and creating safer communities. The next generation of community policing (NGCP) is helping to transform CP into a more robust and active participatory process than what has been previously witnessed. There is a connection between the multilayered complexity of CP that is being fuelled in this engagement through the current global digital revolution, exponentially growing big data, and advancement in technology. In the global scene, NGCP is received differently given the cultural, societal, legal, privacy and security aspects in specific continents, countries, regions, cities and even neighbourhoods. This chapter aims at introducing challenges of NGCP at a global stage and offer options for moving forward. To do this, the chapter sets the scene of NGCP in Europe and North America (with focus on Canada). The role of digitalization, big data in predictive policing and digital community policing are also discussed. In particular, the chapter tries to leverage predictive policing from a community engagement perspective that effectively addresses and promotes the seamless collaboration between police and communities. The “Block Watch” programme in Vancouver Police Department (VPD) and European Neighbourhood Watch Association (EUNWA) in Europe are introduced in the chapter as vital role models in the NGCP. The role of technologies and the interdependency on making the right technological choices with the goal of advancing NGCP and then incorporating human interactivity are explored, specifically, by examining, on the one hand, how the Vancouver Police Department (VPD) has operationalized predictive policing to integrate into the community engagement perspective and, on the other hand, by studying the successful case of Burgernet across all of The Netherlands. European research and innovation project INSPEC2T is also presented as solution for NGCP with contributions from around the globe.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Change history

  • 19 March 2019

    Due to incorrect confirmation from the chapter authors’ for affiliation this chapter was initially published with errors. The correct information is provided here.

References

  • Beck, C., & McCue, C. (2009). Predictive policing: What can we learn from Wal-Mart and Amazon about fighting crime in a recession? The Police Chief, 76, 11 Retrieved from http://policechiefmagazine.org/magazine/index.cfm?fuseaction=display_arch&article_id=1942&issue_id=12209.

    Google Scholar 

  • Bond-Graham, D., & Winston, A. (2013, October 30). All Tomorrow’s crimes: The future of policing looks a lot like good branding. SF Weekly. Retrieved from http://www.sfweekly.com/sanfrancisco/all-tomorrows-crimes-the-future-of-policing-looks-a-lot-like-goodbranding

  • Brush, A. J., Jung, J., Mahajan, R., & Martinez, F. (2013, February). Digital neighborhood watch: Investigating the sharing of camera data amongst neighbors. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work (pp. 693–700). ACM.

    Google Scholar 

  • Burgernet – CGI case study. (n.d.). Retrieved from https://www.cginederland.nl/praktijkvoorbeelden/cgi-bouwt-aan-een-nieuw-kernsysteem-burgernet-2.0

  • Cohen, I., Plecas, D., McCormick, A., & Peters, A. (2014). Eliminating crime: The seven essential principles of police-based crime reduction. Abbotsford, BC: Centre for Crime Prevention and Criminal Justice Research.

    Google Scholar 

  • Edwards, S., & Hayeslip, D. (1997). Community policing: Where are we? In Paper delivered at the annual meeting of the Academy of Criminal Justice Sciences. Louisville, Kentucky.

    Google Scholar 

  • EUNWA—European Neighbourhood Watch Association. (n.d.). Retrieved from https://eunwa.org/

  • Huet, E. (2015, March). Server and protect: Predictive policing firm PredPol promises to man crime before it happens. Forbes Magazine. Retrieved from http://www.forbes.com/sites/ellenhuet/2015/02/11/predpol-predictive-policing/

  • Hunt, P., Saunder, J., & Hollywood, J. (2014). Evaluation of the Shreveport predictive policing experiment. Santa Monica, CA: Rand.

    Google Scholar 

  • INSPEC2T – Inspiring Citizens Participation in Advanced Community Policing Actions, European Commission Secure Societies Horizon 2020 funded project. (n.d.). Retrieved from http://inspec2t-project.eu/en/

  • Leighton, B. N. (1991). Visions of community policing: Rhetoric and reality in Canada. Canadian Criminology, 33, 485.

    Google Scholar 

  • Manning, P. K. (1983). Community policing. American Journal of Police, 3, 205.

    Google Scholar 

  • Mastrofski, S. (2006). Police organization and management issue for the next decade. In Centre for Justice Leadership and Management, George Mason University. Washington, DC: National Institute of Justice Police Research Planning.

    Google Scholar 

  • Murphy, C., & Muir, G. (1985). Community-based policing: A review of the critical issues. Ottawa: Solicitor General of Canada.

    Google Scholar 

  • Oliver, W. M. (2000). The third generation of community policing: Moving through innovation, diffusion, and institutionalization. Police quarterly, 3(4), 367–388.

    Article  Google Scholar 

  • Perry, W. L., McInnis, B., Price, C., Smith, C., & Hollywood, J. (2013). Predictive policing: The role of crime forecasting in law enforcement operations. Santa Monica, CA: Rand.

    Book  Google Scholar 

  • Peterson, M. (2005). Intelligence-led policing: The new intelligence architecture. Washington, DC: Bureau of Justice Assistance.

    Google Scholar 

  • Police Executive Research Forum. (2014). Future trends in policing. Washington, DC: Office of Community Oriented Policing Services Retrieved from http://www.policeforum.org/assets/docs/Free_Online_Documents/Leadership/future%20trends%20in%20policing%202014.pdf.

    Google Scholar 

  • Prox, R. G. (2007). The unbending blue line: Transformational change in police organizations with a case study of a west coast city police department patrol deployment. Burnaby: Simon Fraser University.

    Google Scholar 

  • Prox, R. G., & Griffiths, C. T. (2015). Introduction to the special issue: Intelligence led policing. Police Practice & Research, 16(2), 99–107.

    Article  Google Scholar 

  • Ratcliffe, J. H. (2008). Intelligence-led policing. Cullumpton, Devon: Willan Publishing.

    Google Scholar 

  • Reaves, B. A., & Goldberg, A. L. (1999). Law enforcement management and administrative statistics, 1997: Data for individual state and local agencies with 100 or more officers. Washington, DC: US Department of Justice, Bureau of Justice Statistics.

    Google Scholar 

  • Rosenbaum, D. (2007, March). Police Innovation Post 1980: Assessing Effectiveness and Equity Concerns in the Information Technology Era. IPC Review, 1,11–44.

    Google Scholar 

  • Seagrave, J. (1996). Defining community policing. American Journal of Police, 15(2), 1–22.

    Article  Google Scholar 

  • Uchida, C. (2016). Predictive policing in Los Angeles: Planning & development. Justice & Security Strategies.

    Google Scholar 

  • Vancouver Police Department. (2017). Community policing: block watch. Retrieved from http://vancouver.ca/police/community-policing/block-watch/index.html

  • Weisburd, D., & Braga, A. (2006). Prospects and problems in an era of police innovation: Contrasting perspectives. Cambridge: Cambridge University Press.

    Google Scholar 

  • Wilson, J. Q., & Kelling, G. L. (1982). Broken windows. Atlantic Monthly, 249(3), 29–38.

    Google Scholar 

  • Wisler, D., & Onwudiwe, I. D. (2008). Community policing in comparison. Police Quarterly, 11(4), 427–446.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Gohar Sargsyan or Ryan Prox .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s), under exclusive licence to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Sargsyan, G., Prox, R. (2019). Augmenting Crime Predictions with Engagement: Synergy of Predictive Policing and Community Policing Paradigms. In: Leventakis, G., Haberfeld, M. (eds) Synergy of Community Policing and Technology. SpringerBriefs in Criminology(). Springer, Cham. https://doi.org/10.1007/978-3-030-00299-2_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00299-2_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00298-5

  • Online ISBN: 978-3-030-00299-2

  • eBook Packages: Law and CriminologyLaw and Criminology (R0)

Publish with us

Policies and ethics