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To support and help strengthen the work of advocates and organizers, the Hub is committed to providing and uplifting up-to-date research, reports, data, model policies, toolkits and other resources. We do this by searching for, categorizing, and making available existing resources from partner organizations and others working on issues related to policing. When needed, the Hub also produces its own research in collaboration with partners. This resource database is categorized, easy to search, and regularly updated by our research team.

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Resources that appear on the Community Resource Hub website are not necessarily supported or endorsed by the Hub. The resources that appear represent various different policies, toolkits, and data that have been presented to challenge issues relevant to safety, policing, and accountability.

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Showing 124 Resources Technology × Clear All

Fact Sheet: New Records Provide Details on ICE’s Mass Use of LexisNexis Accurint to Surveil Immigrants

Just Futures Law

Newly obtained Freedom of Information records from Immigration and Customs Enforcement (ICE) provide a previously unreported window into ICE’s expansive use of LexisNexis’ Accurint data service. LexisNexis appears to be trying to keep the full extent of its dealings with ICE secret, and in its contract, prohibits government customers from naming LexisNexis or referencing use of LexisNexis in press releases. These newly released documents suggest that LexisNexis is attempting to hide its own complicity in the deportation machine.

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American Dragnet: Data-Driven Deportation in the 21st Century

Georgetown Law Center on Privacy & Technology

When you think about government surveillance in the United States, you likely think of the National Security Agency or the FBI. You might even think of a powerful police agency, such as the New York Police Department. But unless you or someone you love has been targeted for deportation, you probably don’t immediately think of Immigration and Customs Enforcement (ICE). This report covers a two-year investigation that reveals that ICE now operates as a domestic surveillance agency. Since its founding in 2003, ICE has not only been building its own capacity to use surveillance to carry out deportations but has also played a key role in the federal government’s larger push to amass as much information as possible about all of our lives. By reaching into the digital records of state and local governments and buying databases with billions of data points from private companies, ICE has created a surveillance infrastructure that enables it to pull detailed dossiers on nearly anyone, seemingly at any time. In its efforts to arrest and deport, ICE has – without any judicial, legislative or public oversight – reached into datasets containing personal information about the vast majority of people living in the U.S., whose records can end up in the hands of immigration enforcement simply because they apply for driver’s licenses; drive on the roads; or sign up with their local utilities to get access to heat, water and electricity.

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Reformist Reforms vs. Abolitionist Steps to End Imprisonment

Critical Resistance

A chart that breaks down the difference between reformist reforms which continue or expand the reach of policing, and abolitionist steps that work to chip away and reduce its overall impact.

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The Stalker State

Stop LAPD Spying Coalition

The Stalker State is the information gathering, storing, and sharing environment we are all immersed in. This is an ever-changing, ever-evolving web of agencies and organizations that embody a toxic culture of data collection with the intent to police us and cause harm. It doesn’t only watch us to invade privacy, it watches to criminalize us. We invite you to explore the imagery and contemplate how all these entities connect in a way that leads to harm.

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Stop LAPD Spying Coalition: Dismantling the Ecosystem of Surveillance

The London School of Economics & Political Science

The STOP LAPD Spying Coalition has been on the forefront in the fight against data-driven policing and surveillance. Their ground-breaking work combines community research to expose surveillance and policing tech, visual and creative tools to demystify new technologies and hands-on organising. All with the explicitly abolitionist aim of building power on the ground to dismantle the carceral technologies of what they have coined the Stalker State. We invited Stop LAPD Spying Coalition members Shakeer Rahman and Hamid Khan to talk about their work and their experiences on research and mapping of surveillance technologies.

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How We Determined Crime Prediction Software Disproportionately Targeted Low-Income, Black, and Latino Neighborhoods

The Markup

The expansion of digital record keeping by police departments across the U.S. in the 1990s ushered in the era of data-driven policing. Huge metropolises like New York City crunched reams of crime and arrest data to find and target “hot spots” for extra policing. Researchers at the time found that this reduced crime without necessarily displacing it to other parts of the city—although some of the tactics used, such as stop-and-frisk, were ultimately criticized by a federal judge, among others, as civil rights abuses.

The next development in data-informed policing was ripped from the pages of science fiction: software that promised to take a jumble of local crime data and spit out accurate forecasts of where criminals are likely to strike next, promising to stop crime in its tracks. One of the first, and reportedly most widely used, is PredPol, its name an amalgamation of the words “predictive policing.” The software, derived from an algorithm used to predict earthquake aftershocks, was developed by professors at UCLA and released in 2011. By sending officers to patrol these algorithmically predicted hot spots, these programs promise they will deter illegal behavior.

But law enforcement critics had their own prediction: that the algorithms would send cops to patrol the same neighborhoods they say police always have, those populated by people of color. Because the software relies on past crime data, they said, it would reproduce police departments’ ingrained patterns and perpetuate racial injustice, covering it with a veneer of objective, data-driven science.

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ShotSpotter is a Probable Cause Generator

Chicago Justice Podcast

On today’s show we discuss the gunshot detection system ShotSpotter with Alejandro Ruizesesparza from the Cancel ShotSpotter Coalition and Jonathan Manes, an attorney in the MacArthur Justice Center’s Illinois Office. Our discussion focuses on why activists and communities are rising up to confront the Chicago Police Department on their use of ShotSpotter.

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Automating Banishment: The Surveillance and Policing of Looted Land

Stop LAPD Spying Coalition

This report was researched and written by dozens of community members collaborating through the Stop LAPD Spying Coalitionʼs Land and Policing Workgroup. Over the past decade, the Stop LAPD Spying Coalition has been building community power to abolish LAPD surveillance. This report grew out of that organizing and examines the relationship of data-driven policing to real estate development, displacement, and gentrification.

While more people are beginning to understand the role of data in policing, less attention is paid to data-driven policingʼs relationship to land. This report studies that relationship with a focus on the process that has always bound policing and capitalism together: colonization. The report also examines the evolution of datadriven policing, including through LAPDʼs new Data-Informed CommunityFocused Policing, which combines data-mining and surveillance with the reformist notions of “community policing” and “police accountability.” This report is intended to frame an organizing agenda against this new program and beyond.

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A New AI Lexicon: Surveillance

AI Now Institute – New York University

This essay is part of the ongoing “AI Lexicon” project, a call for contributions to generate alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about artificial intelligence (AI).

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