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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 74 Resources Technology × Clear All

“Confronting Black Boxes: A Shadow Report of the New York City Automated Decision System Task Force”

AI Now Institute – New York University

In 2017, New York City became the first US jurisdiction to create a task force to come up with recommendations for government use of Automated decision systems (ADS). This report is a community powered shadow report that provides a comprehensive record of what happened during the Task Force’s review process and offers other municipalities and governments robust recommendations based on collective experience and current research insights on government use of ADS.

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Porch Pirate Panic and the Paranoid Racism of Snitch Apps

Citations Needed Podcast

Everywhere we turn, local media — TV, digital, radio — is constantly telling us about the scourge of crime lurking around every corner. This, of course, is not new. It’s been the basis of the local news business model since the 1970s. But what is new is the rise of surveillance and snitch apps like Amazon’s Ring doorbell systems and geo-local social media like Nextdoor. They are funded by real estate and other gentrifying interests working hand in glove with police to provide a grossly distorted, inflated and hyped-up vision of crime.

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The Daily: The End of Privacy as We Know It?

The Daily – New York Times

A secretive start-up promising the next generation of facial recognition software has compiled a database of images far bigger than anything ever constructed by the United States government: over three billion, it says. Is this technology a breakthrough for law enforcement — or the end of privacy as we know it? Federal and state law enforcement officers are using one company’s app to make arrests in 49 states. So what is Clearview AI, and what influence does it hold?Clearview’s app is being used by police to identify victims of child sexual abuse. Some question both the ethics and the accuracy of the results.

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Opening the Chicago Surveillance Fund

Lucy Parsons Labs

Through the last year and a half, MuckRock and Lucy Parsons Lab have used FOIA to investigate the use of surveillance equipment by the Chicago Police Department (CPD). Through multiple FOIA requests and lawsuits, the team has demonstrated the CPD’s purchase and use of controversial “Stingray” cellphone surveillance devices among other new surveillance technologies. The work has also shown that Chicago Police have been acting in “bad faith” in fulfilling the FOIA requests. This project page gives preliminary data on the issue and asks for assistance in compiling more information.

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Advisory Concerning the Chicago Police Department’s Predictive Risk Models

Chicago Office of Inspector General (OIG)

Chicago has shut down the use of predictive policing models known as the Strategic Subject List (SSL) and Crime and Victimization Risk Model (CVRM). The general areas of concern in the PTV risk model program include: the unreliability of risk scores and tiers; improperly trained sworn personnel; a lack of controls for internal and external access; interventions influenced by PTV risk models which may have attached negative consequences to arrests that did not result in convictions; and a lack of a long-term plan to sustain the PTV models.

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A Randomized Control Trial Evaluating the Effects of Police Body-Worn Cameras

David Yokum, Anita Ravishankar, Alexander Coppock (Brown University)

Police departments are adopting body-worn cameras in hopes of improving civilian–police interactions. In a large-scale field experiment (2,224 officers of the Metropolitan Police Department in Washington, DC), researchers randomly assigned officers to receive cameras or not. They tracked subsequent police behavior for a minimum of 7 months using administrative data. Results indicate that cameras did not meaningfully affect police behavior on a range of outcomes, including complaints and use of force. This report conclude that the effects of cameras are likely smaller than many have hoped.

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Congestion Privacy: The Surprising Privacy Toll of New York City’s Proposed Congestion Pricing System

Surveillance Technology Oversight Project, Inc. at the Urban Justice Center

This report explains New York City’s new congestion pricing program aimed at reducing private vehicle traffic and increasing funding for public transportation. However, the current plans say nothing about how congestion pricing information will be stored. Absent restrictions, this traffic program can give law enforcement what amounts to a perpetual tracking device for every car in New York. The same concerns also exist for federal law enforcement agencies, including ICE, who would be able to access any data the city and state retain. This report includes reference to privacy-protective models from other countries that can be deployed in New York, minimizing the amount of data collected and the risk to the public.

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Suspected & Surveilled: A Report on Countering Violent Extremism in Chicago

#StopCVE (Countering Violent Extremism)

This report provides a brief overview of what Countering Violent Extremism (CVE) is and what assumptions drive CVE programs. Given the illusive nature of CVE (and the ways that practitioners intentionally distance themselves from critiques of CVE), it also describes local CVE programs currently underway in Illinois and identifies the key players advancing this anti-terrorism project. Because CVE programs often are rebranded under different names and funding sources, this report also details ways to identify CVE. Lastly, this report shares the experiences of community partners across the country to illustrate the nature and impact of CVE, and how people have been exposing and resisting CVE.

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Why Countering Violent Extremism (CVE) Programs Are Bad Policy

Brennan Center for Justice

While federal law enforcement agencies involved in Countering Violent Extremism (CVE) paint the program as a community outreach initiative dedicated to stopping people from becoming violent extremists, the reality is that these programs, which are based on junk science, have proven to be ineffective, discriminatory, and divisive. This report shares what you need to know about the dangers of CVE programs and why the framework should be abandoned rather than rehabilitated.

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