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Preventing Crime: A Reader's Guide

by Graeme R. Newman with the assistance of Claude.

Can you stop crime before it starts, without fully knowing what causes it? A reader's guide to the 1936 symposium that gathered twenty-four programs trying to find out.

Preventing Crime: A Symposium, edited by Sheldon and Eleanor Glueck, brought together the directors of coordinated community councils, school bureaus, police prevention units, residential homes, child guidance clinics, a parent school, and boys' clubs, and asked each the same questions: what evidence shows the need for your program, how does it work, and how do you know whether it succeeds? The editors were candid from the start. Their title, they admitted in the preface, was optimistic, and a more accurate one would have been "Promising Efforts to Prevent Delinquency and Criminality." Only time and real evaluation, they wrote, could say whether these programs actually prevented anything.

The book is a portrait of what serious people believed about crime prevention in the depths of the Depression, and a case study in the gap between good intentions and good evidence. This Reader's Guide makes it accessible without replacing it. It explains what each program did, sets out the twelve principles the Gluecks drew from the contributions, and shows exactly what counted as proof of success in 1936, and how little of it would count today.

INSIDE THIS GUIDE

  • A reading plan and a chapter-by-chapter map of the original, with all twenty-five contributors

  • The Gluecks' opening argument: can crime be prevented without knowing its causes?

  • Twelve principles distilled from the programs, from starting early to using trained personnel

  • Community councils, school programs, police prevention bureaus, residential homes, clinics, and boys' clubs, program by program

  • A close look at "the audit problem": what each contributor offered as evidence, and what it actually showed

  • A worked example that tests one program's before-and-after numbers against six hard questions

  • What has changed since 1936, including the Cambridge-Somerville Youth Study's sobering results and decades of research on what works, what doesn't, and what's promising

  • Five common misreadings, a primer of evaluation terms, a glossary, an annotated reading list, an FAQ, 26 discussion questions and classroom activities

WHO IT'S FOR: Students of criminology, social work, education, public policy and program evaluation; practitioners designing youth programs; teachers and reading groups; and general readers curious about where crime prevention came from and why proving it works is so hard.

PLEASE NOTE: This is an independent guide, not an abridgment or edition of the original symposium. It does not reproduce the original's text and is not endorsed by the editors', or contributors', heirs. It is meant to be read alongside the original, which is in the public domain in the United States.

Written by Graeme R. Newman with the assistance of Claude, an AI model made by Anthropic. The AI-generated content is disclosed in accordance with Read-Me.Org policy.

Download the original book here.

Read-Me.Org Inc. New York-Philadelphia-Australia. 2026. p.54p.

AI in Policing: international lessons and domestic solutions

By Justice

1. Artificial intelligence (“AI”) is rapidly reshaping public services, and policing is no exception. The pace of innovation, the scale of private sector investment, and the UK Government’s explicit ambition to “mainline AI into the veins of the nation” mean that AI deployment in policing is not a distant prospect but an accelerating reality. This brings significant opportunities: enhanced investigative capability, faster processing of digital evidence, improved risk assessment, and the potential to intervene earlier to prevent harm. Yet it also carries profound risks for human rights, the rule of law, and public trust. The police occupy a uniquely powerful position in our democratic society; integrating AI into that environment without the right safeguards risks entrenching discrimination, undermining lawful decision making, and eroding communities’ confidence in policing2. This report asks a central question: what must be in place for AI in policing to be trustworthy, value for money, effective in achieving policing goals, and compliant with human rights and the fair administration of justice? To answer this, JUSTICE carried out international research, examined domestic developments, and convened stakeholders across policing, government, civil society, regulators, academia, and industry. Across this work, five lessons emerged, each of which signals not only what must be done, but the urgency of acting now while the UK remains at a crossroads.

London: Justice, 2025. 62p.