Criminal Futures
Predictive Policing and Everyday Police Work
Datos Bibliográficos
| ID | 19925042 |
|---|---|
| Autores | Sophia Egbert (0000-0002-3729-0393, Universität Hamburg), Simon Egbert, Matthias Leese (0000-0002-7153-7783, Universität Hamburg) |
| Año | 2020 |
| Páginas | 256 |
| Fecha de publicación | 2020-12-14 |
| Open Access | Sí |
| Tipo | BOOK |
| Revista | Criminal Futures (SOURCE_BOOK) |
| Editorial | Routledge (PUBLISHER • GB) |
| DOI | 10.4324/9780429328732 |
| OpenAlex | W4213090493 |
| Open Library | OL30178385M |
| ISBN | 9780429328732 |
| Idioma | EN |
| Citas recibidas | 18 |
| Referencias citadas | 135 |
This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Switzerland, this book provides a theoretically sophisticated and empirically detailed account of how the police produce and act upon criminal futures as part of their everyday work practices. The authors argue that predictive policing must not be analyzed as an isolated technological artifact, but as part of a larger sociotechnical system that is embedded in organizational structures and occupational cultures. The book highlights how, for crime prediction software to come to matter and play a role in more efficient and targeted police work, several translation processes are needed to align human and nonhuman actors across different divisions of police work. Police work is a key function for the production and maintenance of public order, but it can also discriminate, exclude, and violate civil liberties and human rights. When criminal futures come into being in the form of algorithmically produced risk estimates, this can have wide-ranging consequences. Building on empirical findings, the book presents a number of practical recommendations for the prudent use of algorithmic analysis tools in police work that will speak to the protection of civil liberties and human rights as much as they will speak to the professional needs of police organizations. An accessible and compelling read, this book will appeal to students and scholars of criminology, sociology, and cultural studies as well as to police practitioners and civil liberties advocates, in addition to all those who are interested in how to implement reasonable forms of data-driven policing
Criminology · Economics · Financial economics · Futures contract · Criminal Law and Policy · Digitalization, Law, and Regulation · Psychology · Public Administration and Political Analysis · Crime & criminology · Crime forecasting · Crime prevention · Data processing · Law Enforcement · National security · Police · Police & security services · Political Freedom & Security · Political science · Prediction of Criminal behavior · Social Science · Technological innovations
Simon Egbert & Matthias Leese
Predictive Policing als Treiber rechtlicher Innovation
Understanding the Multi-level Interactions Between Physical Environment and Neighborhood Characteristics in Assessing Vulnerability to Crime in Micro-places
Algorithmic policing
The triangle of security governance
Science, technology, security
Care, collaboration, and service in academic data work
A world of Palantir – ontological politics in the Danish police’s POL-Intel
Organisation und digitale Technologien . Predictive Policing im organisationalen Kontext
Vorhersagen und Entscheiden
Scientification through privatization
Public perception of algorithmic policing in a non-democratic context
Outlier mining in criminal networks
It's On All the Time in Our House
Thinking the delirious pandemic governance by numbers with Samit Basu'sChosen Spiritsand Prayaag Akbar'sLeila
Epistemologies of predictive policing
Multiplex key roles to disrupt criminal networks
Algorithmic policing
Basics of qualitative research
Science in action
Mind Children
Managing technology in society
Working the street
Shaping technology/building society
Routine Activity and Rational Choice
Reproducing Order
The Culture of Control
Analyzing Qualitative Data with MAXQDA
Predictive Policing
Improving Policing
Predictions put into practice
Policing in Black and White
Does automation bias decision-making?
Self-Exciting Point Process Modeling of Crime
Public Accountability
Big Data's Disparate Impact
Risk Terrain Modeling
Trust and legitimacy
Risk Clusters, Hotspots, and Spatial Intelligence
What Are the Police Doing on Twitter? Social Media, the Police and the Public
The state and technical innovation
Police recruits and perceptions of trust in diverse groups
Shoot to kill – police accountability, firearms, and fatal force
Mapping City Crime and the New Aesthetic of Danger
Race, Neighbourhood Context and Perceptions of Injustice by the Police in Cincinnati
Critical Studies of Innovation
Big data
The model gap
What is wrong about Robocops as consultants? A technology-centric critique of predictive policing
On the presumed neutrality of technology
The More Manipulations, the Better
What Can Police Do to Reduce Crime, Disorder, and Fear
Do Artifacts Have Politics
Place-Based Crime Prevention
The Technology of Policing
Risk-Based Policing
Predict and Surveil
Situational Crime Prevention
Organizational Structure in American Police Agencies
Worry and Risk Perception
General deterrent effects of police patrol in crime “hot spots”
Space–Time Patterns of Risk
Infectious Burglaries. A Test of the Near Repeat Hypothesis
Social Network Analysis in Predictive Policing
Social media and policing
Weapons of math destruction
Private Security and Public Policing
Rounding Up the Usual Suspects? Developments in Contemporary Law Enforcement Intelligence
Problem-Oriented Policing in Practice
Defining the Sensor Society
Platform Policing and the Real-Time Cop
Predictive Policing and the Platformization of Police Work
Policing as Digital Platform
Criminal Investigation Through the Eye of the Detective
Crime, Maps and Meaning
When Citizens Are “Actually Doing Police Work”
Predictive Policing for Reform? Indeterminacy and Intervention in Big Data Policing
Won’t we scare them? The impact of communicating uncontrollable risks on the public’s perception
Risk Communication – Consumers Between Information and Irritation1
Prepression
Algorithmic risk governance
Influence of community characteristics on serious police use of force events in an Australian policing jurisdiction
Predictive policing
Improving policing by integrating craft and science
Conflicts and congruencies between predictive policing and the patrol officer’s craft
The new profiling
Situational awareness’
Autonomy, Regulation and the Police Beat
The Limits of Agenda-Setting
Maps as social constructions
The right to a human in the loop
The Social Construction of Facts and Artefacts
Beyond Epistemology
Technological Dramas and the Police
Preventing Repeat Victimization
Information Technologies and the Police
The fixation of (visual) evidence
The university
Environmental criminology
Social Media and Value Conflicts
Containing the Atom
A Tack in the Shoe
Crime and Punishment
Police Culture and Coercion
Disproportionate and Discriminatory
The DNA Expansion Programme and Criminal Investigation
Ripping up the Map
The Time Course of Repeat Burglary Victimization
Prospective Hot-Spotting
Making Sense of Big Data for Security
Predictive Policing and the Politics of Patterns
Securing with algorithms
Agenda-Setting and Priming in Prime Time Television
Suspect Identities
Pandora's hope
The Technological Society
Race, Social Capital, and Trust in the Police
Accountability and global governance
| Obras citantes distintas | 18 |
|---|---|
| Citas por año | 3 |
| Intervalo de citas | 2020 - 2025 (6) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 18 |