ShotSpotter in Kansas City
The use of gunshot detection technology in gentrifying neighborhoods
The use of gunshot detection technology in gentrifying neighborhoods
Jeffrey Shen
August 22, 2021
Acoustic gunshot detection is a surveillance technology that uses a network of microphones to locate gunshot-like sounds and alert law enforcement. This technology is often marketed as a way for police to reduce gun violence, provide faster medical assistance, and prosecute alleged perpetrators. However, numerous activists and journalists have shown that gunshot detection increases police contact and violence, particularly in Black and brown neighborhoods,[1][2][3][4] is inaccurate,[5][6][7][8][9][10][11] and ultimately fails to address the root social causes of gun violence.[12] Recent investigations have also shown that gunshot detection data has been falsified and used by police to convict people—with minimal evidence.[13][14]
The largest provider of gunshot detection technology is ShotSpotter, a publicly traded company with an annual revenue of over $45 million as of 2020.[15] ShotSpotter currently partners with over 100 cities in the continental U.S. such as New York City and Chicago, as well as cities in the U.S. Virgin Islands, Puerto Rico and South Africa.[16] The company continues to add partnerships with other municipalities and has begun expanding into fields such as predictive policing and big data,[17] making it critical to understand the spread and use of ShotSpotter systems.
In this article, I explore another hypothesis for how ShotSpotter is used: to facilitate the gentrification of neighborhoods suffering from gun violence by making them “safe” for investment through increased policing. In particular, I examine how ShotSpotter is used in Kansas City, MO, a city of nearly half a million people, and find evidence that ShotSpotter has been deployed strategically as part of an ongoing project to redevelop areas east of Troost Ave—a majority Black area historically subject to racist segregation and discriminatory housing policies.
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ShotSpotter coverage area has been approximated based off ShotSpotter activation data as the official coverage area is not public.
"Violent crime" is not an exact or unbiased approximation for gun violence; however, gun violence data in Kansas City is partially sourced from ShotSpotter data, meaning it is inherently skewed.
Data from 2019 ACS 1-Year estimate.
Data from 2013 and 2019 ACS 1-Year estimate.
Data from Eviction Lab. There is evidence that the Eviction Lab undercounts data, meaning actual displacement could be higher.
Data from 2013 and 2019 ACS 1-Year estimate.
Data from 2013 and 2019 ACS 1-Year estimate.
As can be seen, areas to the east of Troost Ave are rapidly being gentrified by so-called “urban renewal” projects: rents are rising, eviction rates are high, and the Black population is being displaced. Therefore, it is significant that ShotSpotter's coverage area includes many neighborhoods slated for redevelopment, as the technology inherently results in increased policing. Research has shown that police presence intensifies in gentrifying areas,[18] which suggests that one purpose of ShotSpotter is to help police render a formerly disinvested and segregated area "safe" for reinvestment and white residents to move in. (In practice, ShotSpotter and policing have not been effective at reducing gun violence: after nearly a decade of partnering with ShotSpotter and a police budget which has grown by 25% since 2012,[19][20] Kansas City still has record high gun homicide rates.[21])
What this ultimately means, however, is that ShotSpotter exacerbates multiple forms of violence: the hyper-policing of neighborhoods already suffering from gun violence and the displacement of Black residents from their homes. It should not be forgotten that Breonna Taylor, Eric Garner, and many other Black women and men have been killed by police against the backdrop of "urban renewal" projects;[22] ShotSpotter increases the potential for these tragedies to repeat themselves yet again in gentrifying neighborhoods in Kansas City and across the over one hundred other cities that use gunshot detection technology.
This work has been supported by the Human Rights & Technology Fellowship at MIT's Center for International Studies. The code and data used are open source.