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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.

If you would like to suggest a resource to be included in our database, please submit it here.

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 118 Resources Technology × Clear All

Garbage In, Garbage Out: Face Recognition on Flawed Data

Georgetown Law Center on Privacy & Technology

A report that details the various ways police may use facial recognition methods to pursue suspects. There are no rules when it comes to what images police can submit to face recognition algorithms to generate investigative leads. As a consequence, agencies across the country can—and do—submit all manner of “probe photos,” photos of unknown individuals submitted for search against a police or driver license database. These images may be low-quality surveillance camera stills, social media photos with filters, and scanned photo album pictures. Records from police departments show they may also include computer-generated facial features, or composite or artist sketches.

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America Under Watch: Face Surveillance in the United States

Georgetown Law Center on Privacy & Technology

This report details the different, and potentially dangerous, ways that facial surveillance and recognition technology are currently being used and how they could be used in the future. Thanks to face recognition technology, authorities are able to conduct biometric surveillance—pick you out from a crowd, identify you, trace your movements across a city with the network of cameras capturing your face—all completely in secret. No longer is video surveillance limited to recording what happens; it may now identify who is where, doing what, at any point in time.

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Grassroots Human Rights Policy Guide for Racial Equity: Illinois 2010

United Congress of Community & Religious Organizations

A toolkit with example policy and legislation that addresses racial equity issues, with a specific example of DNA racial profiling used to make arrests. This guide analyzes the implications of the DNA Arrests Bill SB 935 (p. 4) and provides examples of policies better suited for addressing racial equity.

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Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice

Rashida Richardson, Kate Crawford (AI Now Institute), & Jason Schultz (NYU Law)

This report looks at the increasing use of predictive policing systems that are built on data produced during documented periods of flawed, racially biased, and sometimes unlawful practices and policies. Using three case study examples, it examines the negative impact of these systems based on “dirty data.”

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Policing in America: Understanding Public Attitudes Toward the Police

Cato Institute

A report that looks at differences in attitudes toward police by race and ethnicity in the United States. It also looks at potential influences on these attitudes, such as perceived bias, anxiety about crime, perceived competence of police, cases of police misconduct, and more. The report concludes with potential policies for policing reform.

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Providence Community Safety Act: 12 Key Points (RI)

PrYSM (Providence Youth Student Movement)

The key policy points of a city ordinance passed in 2017 on how police should function and how to hold them accountable.

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The Policing Project (NYU) Guide to Filming the Police

NYU School of Law Policing Project

A guide that consists of a series of DO’s and DON’Ts for both police officers and those filming them. It goes beyond outlining legal rights, and instead provides practical recommendations for members of the public on how to approach filming the police and for officers on how to respond to photographers.

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Shifting from Tasers to AI, Axon wants to use terabytes of data to automate police records and redactions

NYU School of Law Policing Project

Policing Project of NYU Director Barry Friedman speaks with MuckRock regarding the move by safety tech company Axon to shift its production focus from its Taser stun guns to providing increased artificial intelligence services for police departments around the country.

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Mobilized by Injustice: Criminal Justice Contact, Political Participation and Race

Hannah L. Walker, PhD

A thesis dissertation that uses survey and interview data to examine the effects of criminal justice involvement on political mobilization and demobilization, distrust in the criminal justice system, and immigration.

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