Targeting Domestic Abuse by Mining Police Records
Author | : Matthew Paul Bland |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : |
ISBN | : |
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Author | : Matthew Paul Bland |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : |
ISBN | : |
Author | : Matthew P. Bland |
Publisher | : Springer Nature |
Total Pages | : 190 |
Release | : 2020-09-29 |
Genre | : Social Science |
ISBN | : 3030548430 |
This book explores the potential of domestic abuse data to assess the level of harm caused to victims and the amount of resources required to respond to it. Policing domestic abuse has become a major activity for the police service in England and Wales. Part of the police strategy is to gather hundreds of thousands of detailed records about victims and suspects – the single largest set of domestic abuse records available, but one that to date has largely unexplored by researchers. In this volume, Matthew Bland and Barak Ariel analyse three substantial datasets taken from police forces across the country and ask: · Can police data be used to derive meaningful insight? · How should we use these data to measure harm? · Just how much domestic abuse involves a repeat victim? · Does abuse get more serious over time? · Can serious domestic abuse be predicted before it occurs? This volume illustrates the scale of the challenge the police and other agencies face with reducing domestic abuse. A small proportion of individuals generate a majority of harm; this book argues that police records offer opportunities to identify these individuals before the harm occurs. Demonstrating that statistical techniques can be used to profile domestic abuse to target harm reduction strategies more precisely and even identify a sizable proportion of serious cases before they occur, this volume will be of interest to law enforcement officials, policing researchers, and policy makers interested in reducing the phenomenon of domestic abuse.
Author | : Hamid Jahankhani |
Publisher | : Springer Nature |
Total Pages | : 282 |
Release | : 2020-07-17 |
Genre | : Social Science |
ISBN | : 3030506134 |
Chapter “Predictive Policing in 2025: A Scenario” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author | : Madhumita Pandey |
Publisher | : Springer Nature |
Total Pages | : 233 |
Release | : |
Genre | : |
ISBN | : 3031428676 |
Author | : George Karystianis |
Publisher | : |
Total Pages | : 34 |
Release | : 2021 |
Genre | : Family and domestic violence |
ISBN | : 9781922478122 |
This body of work focuses on the design and implementation of an automated text-mining method that extracted information from a large-scale set of family and domestic violence (FDV) police records (n=492,393) and on whether this information can be used for further research. We report an evaluation of the method and the results from its application to the large dataset. These include trends over time for mentions of mental health problems obtained from police records for individuals involved in FDV events; specificity and sensitivity when comparing the extracted mental disorder mentions with NSW Health data; and the development of a predictive analytics approach to breaches of apprehended violence orders based on the extracted information. Findings indicate not only that text mining the free-text FDV police records can yield substantially useful and previously unknown information but also that text mining can fuel predictive analytics that can indicate high-risk offenders in the FDV area, impacting early prevention and intervention policies in FDV cases.
Author | : |
Publisher | : |
Total Pages | : 448 |
Release | : 2000 |
Genre | : Family violence |
ISBN | : |
Author | : Katy Barrow-Grint |
Publisher | : Taylor & Francis |
Total Pages | : 148 |
Release | : 2022-11-01 |
Genre | : Social Science |
ISBN | : 1000698637 |
This book is dedicated to improving the practice of the policing of domestic abuse. Its objective is to help inform those working in policing about the dynamics of how domestic abuse occurs, how best to respond to and investigate it, and in the longer term how to prevent it. Divided into thematic areas, the book uses recent research findings to update some of the theoretical analysis and to highlight areas of good practice: ‘what works and why’. An effective investigation and the prosecution of offenders are considered, as well as an evaluation of the success of current treatment options. Policing domestic abuse can only be dealt with through an effective partnership response. The responsibilities of each agency and the statutory processes in place when policy is not adhered to are outlined. Core content includes: A critique of definitions and theoretical approaches to domestic abuse, including coverage of the myths surrounding domestic abuse and their impact on policing. An exploration on the challenges of collecting data on domestic abuse, looking at police data and the role of health and victim support services. A critical review of different forms of abuse, different perpetrators and victims, and risk assessment tools used by the police. A critical examination of the law relating to domestic abuse; how police resources are deployed to respond to and manage it; and best practice in investigation, gathering evidence, and prosecution Key perspectives on preventing domestic abuse, protecting victims, and reducing harm. Written with the student and budding practitioner in mind, this book is filled with case studies, current research, reports, and media examples, as well as a variety of reflective questions and a glossary of key terms, to help shed light on the challenges of policing domestic violence and the links between academic research and best practice.
Author | : Pradeep Kumar Singh |
Publisher | : Springer Nature |
Total Pages | : 1144 |
Release | : 2019-09-23 |
Genre | : Computers |
ISBN | : 3030305775 |
This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.
Author | : Evan Stark |
Publisher | : Oxford University Press |
Total Pages | : 465 |
Release | : 2009 |
Genre | : Family & Relationships |
ISBN | : 0195384040 |
Drawing on cases, Stark identifies the problems with our current approach to domestic violence, outlines the components of coercive control, and then uses this alternate framework to analyse the cases of battered women charged with criminal offenses directed at their abusers.
Author | : Eva Schlesinger Buzawa |
Publisher | : SAGE |
Total Pages | : 340 |
Release | : 2003 |
Genre | : Family & Relationships |
ISBN | : 9780761924487 |
This edition continues to address the basic questions surrounding domestic violence. Virtually all chapters have been rewritten, and material has been added on changes in prosecution criteria and on different methods to protect the victim.