
New “situational awareness” systems can help cities and companies exploit the data surrounding them.
On December 4, 2015, NYPD officers in New York’s 73rd precinct received alerts on their mobile phones from a new high technology “shot-spotter” system: Eight shots had been fired near 409 Saratoga Avenue in the Bedford-Stuyvesant neighborhood of Brooklyn.
What happened next, according to an account from the local news channel NY1, showed how far technology had come as a policing tool.
When they searched the building’s roof, they found bullet casings. Using their phones again, cops discovered a woman in the building had an outstanding arrest warrant. They got a search warrant over their phones for her apartment, where they found two guns, and made three arrests.
The NYPD officers were able to make these arrests so quickly and easily through the help of a situational awareness (SA) system called DAS, for Domain Awareness System.
Being aware of your situation is not a new idea, of course. In the 1970s and 1980s, there was a theory of leadership called situational leadership that argued for the use of different leadership approaches under different circumstances. Similarly, situational ethics, a philosophy dating back to the 19th century, even prescribes different moral standards for different circumstances.
It’s hard to disagree that people and organizations should vary their behaviors depending on the situation. But in order to do that effectively, they need to know what situation they are in. And that requires some sort of systematic attempt to gather and display information about the environment. Companies have been doing that for decades with their internal environments, but few have built systems to manage information about their external situations—opportunities, threats, competitors, and so forth.
Now, however, there is a budding movement to measure and monitor external situational awareness. Given the proliferation of sensors and signals in the world, it makes absolute sense to bring data on the external environment to one place for monitoring and analysis. Who wouldn’t want to know what is happening in the relevant domains of the outside world?
Well, thus far it appears that public sector organizations are the most interested. While they are not the only ones that need to understand their external situations, they seem to be the only ones developing situational awareness systems.
A group of Canadian government agencies, the city of Chicago, and the New York Police Department (NYPD) are three examples of SA from which private sector organizations can learn. One key lesson gleaned from their experiences is that the more targeted a system is, the better.
MASAS, the Multi-Agency Situational Awareness System, is run by the Canadian Public Safety Operations Organization (CanOps) and is intended to monitor and display information that is relevant to public safety. Thus it includes information about fires, earthquakes, bad weather, traffic problems, road outages, large crowds, shelter locations and status, border crossings, and so on.
The breadth of MASAS is noble, but it seems to limit its value. For example, as the CanOps website notes, because agencies are reticent to share sensitive information with other agencies, all the information shared was non-sensitive (i.e. not terribly useful).
A city is more focused than a country, and the third biggest U.S. city, Chicago, was one of the first to adopt an SA system back in 2012. Called WindyGrid, it is, in the words of Sean Thornton of Harvard University’s Ash Center for Democratic Governance and Innovation, a geographic information system that “presents a unified view of city operations—past and present—across a map of Chicago, giving key personnel access to all of the city’s spatial data, historically and in real time.”
The WindyGrid system contains information on 911 and 311 service calls, transit and mobile asset locations, building status, tweets by geographical origin, and so forth. It’s focused only on spatial data, so it’s a bit narrower than the Canadian system. But given the city’s struggles with violent crime, one might argue that an SA system tightly focused on that should be a higher priority. WindyGrid was developed not by the mayor or some other powerful city leader, but by the city’s Chief Information Officer. It’s a system driven more by information efficiency than strategic priorities.
In New York, terrorism and crime prevention are the clear strategic priority of the NYPD’s DAS system. It was initially developed by the Counterterrorism Bureau, and now is used extensively in daily policing. It collects and analyzes data from sensors—including 9,000 closed circuit TV cameras, 500 license plate readers with over 2 billion plate reads, 600 fixed and mobile radiation and chemical sensors, and a network of ShotSpotter audio gunshot detectors covering 24 square miles—as well as 54 million 911 calls from citizens. The system also can draw from NYPD crime records, including 100 million summonses.
The DAS project started in 2008 and has been refined ever since. In 2010 analytics were added to the system. In 2011 an automated pattern recognition capability was added, and 2014 saw the introduction of “predictive policing” functions (the other SA systems mentioned provide purely descriptive analytics). And in 2015 cops were able to get real-time 911 information.
The primary interface with the system is the smartphone; all 35,000 NY police officers have them now. Over 10,000 cops use DAS every day. The system is a technical marvel, and it came about because of strong leadership and priorities.
NYPD Commissioner Bill Bratton has been perhaps the most aggressive advocate of data-based policing in the world. He introduced the CompStat performance management system to the NYPD in his first term there in 1994, and also employed it in his Los Angeles commissioner stint. Jessica Tisch, the NYPD’s Deputy Commissioner of Information Technology, helped to introduce the DAS idea when she was head of policy and planning at the Counterterrorism Bureau. And Evan Levine, an astrophysics Ph.D. who is head of analytics for Counterterrorism, supplied the data science expertise for the predictive analytics algorithms in DAS. The NYPD worked with Microsoft MSFT -0.07% to implement DAS.
The focused nature of the NYPD system is a big reason for its success. Of course it’s risky to attribute outcomes to a single cause, but crime in New York City is down (below the U.S. national average) and homicide clearance rates are up. I’m sure that DAS is a factor, but probably more important is the overall culture of evidence-based policing that characterizes the NYPD.
Should your organization implement some form of situational awareness system? Absolutely. It’s increasingly possible to know what’s going on outside the walls of your organization, and that might ultimately affect its success. But given the breadth and complexity of that outside world, you should probably focus your SA system on something like customers, competitors, or regulators. Eventually you may be able to understand your entire situation, but make progress on a specific aspect first.
This article was originally published on www.fortune.com and can be viewed in full


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)