2016년 6월 13일 월요일

Future Law Enforcement


Future Law Enforcement
by Jia Wang, Minseok Song
During the last few weeks, we have talked about the application of data science in the law enforcement area and its positive impact. Now, let us move on to talk about the future of law enforcement.

Future of Law Enforcement

In the future, criminal rate would reduce and law enforcement departments would have more efficiency and higher productivity. Let us discuss about how these can be achieved.

Public Safety with Internet of Things/Everything
The world we live in will soon embrace IoT and IoE, according to an IoT report by Cisco (Cisco, 2014). Public safety in the future will be managed by these two strong platforms - this combined platform can be also called as a newly coined term, PSIOT (Tom Wills, 2016). Instead of working within de-centralized systems or devices, law enforcement departments will be able to work on the connected platforms. Everything will be connected from tiny wearable sensors to centralized data centers. The following picture shows the potential changes brought by PSIOT:


Four main changes brought by IoE

PSIOT will enable police officers and agencies to get and share real-time information. Mobile devices such as phones and tablets harnessing telecommunication technology will become more powerful and more responsive to incidents. For example, police officers can send incident data to policing centers and judges by using tablets inside their police car. Data can be accessed at any time and any places. Ken Boal, the vice president of Cisco, stated in the report, Public Safety, Justice, and the Internet of Everything (Cisco, 2014), that “Officers won’t be a situation blind. Internet of Everything brings together people, process, data, and things to make networked connections more relevant and valuable than ever before.”

Law enforcement departments would understand data better with the help of PSIOT. Instead of reading statistic data, rich video data will be available for the officers. Moreover, data would be more secure under the PSIOT umbrella. Only registered objects can access to data, which can enforce the defense against criminal hacking (Cisco, 2014). However, will this technology be free from any risk?

Potential Problems

Network Risk
As we discussed above, law enforcement is becoming more and more dependent on the Internet and networks. This can be a double-edged sword. Networks bring the information tunnels for the police to get a good control on incident situations. However, the police would lose control once the network or platform, which will become their daily working dependency, crashes. Also, criminals’ hacking on the Internet would cause serious confidential crisis.

Social Media
The police use social media to get data for criminal analysis, to get control on officers’ actions and to post issues for public safety. However, people post their daily life and personal information, which can lead to a crime. People can post anything, even the prohibited, with little fear because they are sitting behind the Internet. Police officers may also threaten not only themselves but also their family. The article, Social Media and Law Enforcement Potential Risks, has pointed that the home satellite images of officers’ may be obtained by Internet players when officers issue the posting citations (Gwendolyn Waters, 2012).

Benefits

Criminal & Cost
Thanks to the technologies such as data science, cloud computing and telecommunication, the criminal rate is expected to decline and working cost would go down thanks to the growing productivity.

Reduced Officer Death
The number of death of police officers will reduce. As Harris said in the article, Number of Police Officer Killings Drops, Reversing 2014 Spike, FBI Data Shows, there is more and more training in the law enforcement departments to potentially reduce bad situations and confrontations (Jon Schuppe, 2016). The figure below shows the declining trend of officers’ deaths.


Police officers’ deaths record

Conclusion

The data science technology will provide values to the law enforcement sector. But, external factors might hinder the advancement. For example, a report about the impact of economic downturn on the police explained that an economic downturn can stop adoption of new technologies due to reduced investment (COPS, 2016).

We cannot clearly define the future of law enforcement due to the external factors like economy. But, throughout a series of our blogs, we have learnt that data science will always provide a break-through solution for the police to step forward amid difficulties. We should welcome data science in law enforcement.

References

Gwendolyn Waters.(2012). Social Media and Law Enforcement: Potential Risks. Retrieved 6 9, 2016, from The FBI: https://leb.fbi.gov/2012/november/social-media-and-law-enforcement-potential-risks

Cisco.(2014). Public Safety, Justice, and the Internet of Everything. Retrieved 6 8, 2016, from: http://www.nascio.org/events/sponsors/vrc/Public%20Safety%20Justice%20and%20the%20Internet%20of%20Everything.pdf

Jay Fortenbery, M.J.A..(2016, 2 10). Law Enforcement Organizations: Possibilities and Challenges for the Future. Retrieved 6 8, 2016, from The FBI: https://leb.fbi.gov/2016/february/law-enforcement-organizations-possibilities-and-challenges-for-the-future

Tom Wills.(2016, 3 2). Anticipating criminal behavior: Data science and the future of predictive policing.Retrieved 6 8,2016, from IBM Big Data&Analytics Hub: http://www.ibmbigdatahub.com/blog/anticipating-criminal-behavior-data-science-and-future-predictive-policing


Jon Schuppe.(2016, 5 16). Number of Police Officer Killings Drops, Reversing 2014 Spike, FBI Data Shows. Retrieved 6 9, 2016, from NBC NEWS: http://www.nbcnews.com/news/us-news/number-police-officer-killings-drops-reversing-2014-spike-fbi-data-n574746


COPS. (2016). The Impact of the Economic Downturn on American Police Agencies.Retrieved 6 9,2016, from COPS: http://www.cops.usdoj.gov/Default.asp?Item=2602







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