The First British Crime Survey: An Ethnography of Criminology within Government explores the early history of the British Crime Survey, now the Crime Survey for England & Wales, a research enterprise widely perceived to be an international gold standard for the measurement of crime.
The First British Crime Survey: An Ethnography of Criminology within Government explores the early history of the British Crime Survey, now the Crime Survey for England & Wales, a research enterprise widely perceived to be an international gold standard for the measurement of crime.
Based on first-hand interviews with survivors, people who have committed offences, and others on the frontlines, Indictment puts the Canadian criminal justice system on trial and proposes a bold new vision of transformative justice.
Forensic Victimology: Examining Violent Crimes in Investigative and Legal Contexts, Third Edition introduces criminologists and criminal investigators to the idea of systematically gathering and examining victim information for the purposes of addressing investigative and forensic issues.
This innovative text adapts the strategic management process to the police organizational environment, illustrating how to tailor responses to the unique problems and issues that professionals are likely to face in the field of law enforcement.
Winner of the Jhalak Prize & Plutarch Award | A New York Times, New Yorker, Washington Post, Newsweek, TIME Book of the Year 2023'Fabulously entertaining' Daily Telegraph \ 'Perfect for fans of Frank Abignale Jr.
This book makes an important contribution to police scholarship by focusing on the critical need for law enforcement personnel to receive education on chemical/biological/radiological/nuclear (CBRN) hazards.
This revealing and compelling title analyzes the illegal trade in endangered species from a criminological viewpoint and presents specific crime reduction techniques that could help save thousands of species from extinction.
An unprecedented look at the evolution of American police, from filling their intended role as peacekeepers and guardians of citizen rights to calling themselves-and acting primarily as-"e;law enforcement officers.
This timely book provides the inside story of the development of mobile public alert and warning technology in the United States and addresses similar systems being used in Australia, Canada, Japan, and the Netherlands.
Forensic Victimology: Examining Violent Crimes in Investigative and Legal Contexts, Third Edition introduces criminologists and criminal investigators to the idea of systematically gathering and examining victim information for the purposes of addressing investigative and forensic issues.
Open Radio Access Network (O-RAN) Systems Architecture and Design, 2nd edition, gives a jump start to engineers developing O-RAN hardware and software systems, providing a top-down approach to O-RAN systems design from an author with a silicon, software, and system background.
Massive MIMO in Practice: From 5G/5G-Advanced to 6G (2nd edition of the previously titled Advanced Antenna Systems for 5G Network Deployments: Bridging the Gap between Theory and Practice) provides a theoretical introduction to Massive MIMO as well as presenting how it can meet network performance requirements for commercial deployment.
Development of new techniques and methods for analysis of controlled substances brings a different way of considering drug analysis, which is articulated for the first time in this new text.
This book presents the latest research and developments in forensic archaeology, as discussed at the European Meetings on Forensic Archaeology (EMFA) from 2018 to 2023.
Once confined to four-year colleges and graduate schools, forensic science classes can now be found in local high schools as well as in two-year community colleges.
Miscarriages of justice are a regular occurrence in the criminal justice system, which is characterized by government agencies that are understaffed, underfunded, and undertrained across the board.
Machine Learning for Low-Latency Communications presents the principles and practice of various deep learning methodologies for mitigating three critical latency components: access latency, transmission latency, and processing latency.
