Machine Learning For Criminology And Crime Research

Download Machine Learning For Criminology And Crime Research full books in PDF, epub, and Kindle. Read online Machine Learning For Criminology And Crime Research ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Machine Learning for Criminology and Crime Research

Author : Gian Maria Campedelli
Publisher : Routledge
ISBN 13 : 1000596583
Total Pages : 208 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Criminology and Crime Research by : Gian Maria Campedelli

Download or read book Machine Learning for Criminology and Crime Research written by Gian Maria Campedelli and published by Routledge. This book was released on 2022-06-09 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning, artificial intelligence (AI), and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship. As machine learning and AI approaches become increasingly pervasive, it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response, this book seeks to stimulate this discussion. The opening part is framed through a historical lens, with the first chapter dedicated to the origins of the relationship between AI and research on crime, refuting the "novelty narrative" that often surrounds this debate. The second presents a compact overview of the history of AI, further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology, through a network science approach. This book also looks to the future, proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference, showcasing their promise for answering a range of critical questions. With its transdisciplinary approach, Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology, criminal justice, sociology, and economics, as well as AI, data sciences and statistics, and computer science.

Calling Bullshit

Author : Carl T. Bergstrom
Publisher : Random House Trade Paperbacks
ISBN 13 : 0525509208
Total Pages : 338 pages
Book Rating : 4.5/5 (255 download)

DOWNLOAD NOW!

Book Synopsis Calling Bullshit by : Carl T. Bergstrom

Download or read book Calling Bullshit written by Carl T. Bergstrom and published by Random House Trade Paperbacks. This book was released on 2021-04-20 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

Machine Learning for Criminology and Crime Research

Author : Gian Maria Campedelli
Publisher : Taylor & Francis
ISBN 13 : 1000596559
Total Pages : 195 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning for Criminology and Crime Research by : Gian Maria Campedelli

Download or read book Machine Learning for Criminology and Crime Research written by Gian Maria Campedelli and published by Taylor & Francis. This book was released on 2022-06-09 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Criminology and Crime Research: At the Crossroads reviews the roots of the intersection between machine learning, artificial intelligence (AI), and research on crime; examines the current state of the art in this area of scholarly inquiry; and discusses future perspectives that may emerge from this relationship. As machine learning and AI approaches become increasingly pervasive, it is critical for criminology and crime research to reflect on the ways in which these paradigms could reshape the study of crime. In response, this book seeks to stimulate this discussion. The opening part is framed through a historical lens, with the first chapter dedicated to the origins of the relationship between AI and research on crime, refuting the "novelty narrative" that often surrounds this debate. The second presents a compact overview of the history of AI, further providing a nontechnical primer on machine learning. The following chapter reviews some of the most important trends in computational criminology and quantitatively characterizing publication patterns at the intersection of AI and criminology, through a network science approach. This book also looks to the future, proposing two goals and four pathways to increase the positive societal impact of algorithmic systems in research on crime. The sixth chapter provides a survey of the methods emerging from the integration of machine learning and causal inference, showcasing their promise for answering a range of critical questions. With its transdisciplinary approach, Machine Learning for Criminology and Crime Research is important reading for scholars and students in criminology, criminal justice, sociology, and economics, as well as AI, data sciences and statistics, and computer science.

Big Data Analysis Using Machine Learning for Social Scientists and Criminologists

Author : Juyoung Song
Publisher : Cambridge Scholars Publishing
ISBN 13 : 1527536793
Total Pages : 311 pages
Book Rating : 4.5/5 (275 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analysis Using Machine Learning for Social Scientists and Criminologists by : Juyoung Song

Download or read book Big Data Analysis Using Machine Learning for Social Scientists and Criminologists written by Juyoung Song and published by Cambridge Scholars Publishing. This book was released on 2019-07-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a detailed description of the entire study process concerning gathering and analysing big data and making observations to develop a crime-prediction model that utilizes its findings. It offers an in-depth discussion of several processes, including text mining, which extracts useful information from online documents; opinion mining, which analyses the emotions contained in documents; machine learning for crime prediction; and visualization analysis. To accurately predict crimes using machine learning, it is necessary to procure high-quality training data. Machine learning combined with high-quality data can be used to develop excellent crime-prediction artificial intelligences. As such, the book will serve to be a practical guide to anyone wishing to predict rapidly-changing social phenomena and draw creative conclusions using big-data analysis.

Machine Learning Risk Assessments in Criminal Justice Settings

Author : Richard Berk
Publisher : Springer
ISBN 13 : 3030022722
Total Pages : 178 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Risk Assessments in Criminal Justice Settings by : Richard Berk

Download or read book Machine Learning Risk Assessments in Criminal Justice Settings written by Richard Berk and published by Springer. This book was released on 2018-12-13 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book puts in one place and in accessible form Richard Berk’s most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk. Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than “predictive policing” for locations in time and space, which is a very different enterprise that uses different data different data analysis tools. The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations.

Criminal Justice Forecasts of Risk

Author : Richard Berk
Publisher : Springer Science & Business Media
ISBN 13 : 1461430852
Total Pages : 121 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis Criminal Justice Forecasts of Risk by : Richard Berk

Download or read book Criminal Justice Forecasts of Risk written by Richard Berk and published by Springer Science & Business Media. This book was released on 2012-04-06 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness" to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, "risk assessments" of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies.

Predictive Policing and Artificial Intelligence

Author : John McDaniel
Publisher : Routledge
ISBN 13 : 0429560389
Total Pages : 452 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!

Book Synopsis Predictive Policing and Artificial Intelligence by : John McDaniel

Download or read book Predictive Policing and Artificial Intelligence written by John McDaniel and published by Routledge. This book was released on 2021-02-25 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.

Artificial Intelligence and the Law

Author : Dennis J. Baker
Publisher : Routledge
ISBN 13 : 1000210642
Total Pages : 250 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and the Law by : Dennis J. Baker

Download or read book Artificial Intelligence and the Law written by Dennis J. Baker and published by Routledge. This book was released on 2020-10-29 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents new research in artificial intelligence (AI) and Law with special reference to criminal justice. It brings together leading international experts including computer scientists, lawyers, judges and cyber-psychologists. The book examines some of the core problems that technology raises for criminal law ranging from privacy and data protection, to cyber-warfare, through to the theft of virtual property. Focusing on the West and China, the work considers the issue of AI and the Law in a comparative context presenting the research from a cross-jurisdictional and cross-disciplinary approach. As China becomes a global leader in AI and technology, the book provides an essential in-depth understanding of domestic laws in both Western jurisdictions and China on criminal liability for cybercrime. As such, it will be a valuable resource for academics and researchers working in the areas of AI, technology and criminal justice.

Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Author : Jesus Mena
Publisher : CRC Press
ISBN 13 : 1466508523
Total Pages : 351 pages
Book Rating : 4.4/5 (665 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Forensics for Law Enforcement, Security, and Intelligence by : Jesus Mena

Download or read book Machine Learning Forensics for Law Enforcement, Security, and Intelligence written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive

Methods of Criminology and Criminal Justice Research

Author : Mathieu Deflem
Publisher : Emerald Group Publishing
ISBN 13 : 178769867X
Total Pages : 266 pages
Book Rating : 4.7/5 (876 download)

DOWNLOAD NOW!

Book Synopsis Methods of Criminology and Criminal Justice Research by : Mathieu Deflem

Download or read book Methods of Criminology and Criminal Justice Research written by Mathieu Deflem and published by Emerald Group Publishing. This book was released on 2019-08-26 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: As scholarly work on crime, deviance, criminal justice, and social control advances and sophisticated methods of investigation develop, chapter authors demonstrate the methodological maturity and diversity of current empirical research in criminology and criminal justice.

Inventive Computation and Information Technologies

Author : S. Smys
Publisher : Springer Nature
ISBN 13 : 9813343052
Total Pages : 983 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Inventive Computation and Information Technologies by : S. Smys

Download or read book Inventive Computation and Information Technologies written by S. Smys and published by Springer Nature. This book was released on 2021-03-27 with total page 983 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of best selected papers presented at the International Conference on Inventive Computation and Information Technologies (ICICIT 2020), organized during 24–25 September 2020. The book includes papers in the research area of information sciences and communication engineering. The book presents novel and innovative research results in theory, methodology and applications of communication engineering and information technologies.

Crime and Intelligence Analysis

Author : Glenn Grana
Publisher : CRC Press
ISBN 13 : 1315351242
Total Pages : 345 pages
Book Rating : 4.3/5 (153 download)

DOWNLOAD NOW!

Book Synopsis Crime and Intelligence Analysis by : Glenn Grana

Download or read book Crime and Intelligence Analysis written by Glenn Grana and published by CRC Press. This book was released on 2016-11-17 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Crime and Intelligence Analysis: An Integrated Real-Time Approach covers everything crime analysts and tactical analysts need to know to be successful. Providing an overview of the criminal justice system as well as the more fundamental areas of crime analysis, the book will enable students and law enforcement personnel to better understand criminal behavior, learn the basics of conducting temporal analysis of crime patterns, use spatial analysis to better understand crime, apply research methods to crime analysis, and more successfully evaluate data and information to help predict criminal offending and solve criminal cases. Criminal justice and police academy students will learn how to be skilled and credible crime analysts who play a critical role in the daily operations of law enforcement.

Artificial Intelligence, Computational Modelling and Criminal Proceedings

Author : Serena Quattrocolo
Publisher : Springer Nature
ISBN 13 : 3030524701
Total Pages : 230 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence, Computational Modelling and Criminal Proceedings by : Serena Quattrocolo

Download or read book Artificial Intelligence, Computational Modelling and Criminal Proceedings written by Serena Quattrocolo and published by Springer Nature. This book was released on 2020-08-27 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses issues relating to the application of AI and computational modelling in criminal proceedings from a European perspective. Part one provides a definition of the topics. Rather than focusing on policing or prevention of crime – largely tackled by recent literature – it explores ways in which AI can affect the investigation and adjudication of crime. There are two main areas of application: the first is evidence gathering, which is addressed in Part two. This section examines how traditional evidentiary law is affected by both new ways of investigation – based on automated processes (often using machine learning) – and new kinds of evidence, automatically generated by AI instruments. Drawing on the comprehensive case law of the European Court of Human Rights, it also presents reflections on the reliability and, ultimately, the admissibility of such evidence. Part three investigates the second application area: judicial decision-making, providing an unbiased review of the meaning, benefits, and possible long-term effects of ‘predictive justice’ in the criminal field. It highlights the prediction of both violent behaviour, or recidivism, and future court decisions, based on precedents. Touching on the foundations of common law and civil law traditions, the book offers insights into the usefulness of ‘prediction’ in criminal proceedings.

Artificial Intelligence, Social Harms and Human Rights

Author : Aleš Završnik
Publisher : Springer Nature
ISBN 13 : 3031191498
Total Pages : 281 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence, Social Harms and Human Rights by : Aleš Završnik

Download or read book Artificial Intelligence, Social Harms and Human Rights written by Aleš Završnik and published by Springer Nature. This book was released on 2023-01-12 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book critically explores how and to what extent artificial intelligence (AI) can infringe human rights and/or lead to socially harmful consequences and how to avoid these. The European Union has outlined how it will use big data, machine learning, and AI to tackle a number of inherently social problems, including poverty, climate change, social inequality and criminality. The contributors of this book argue that the developments in AI must take place in an appropriate legal and ethical framework and they make recommendations to ensure that harm and human rights violations are avoided. The book is split into two parts: the first addresses human rights violations and harms that may occur in relation to AI in different domains (e.g. border control, surveillance, facial recognition) and the second part offers recommendations to address these issues. It draws on interdisciplinary research and speaks to policy-makers and criminologists, sociologists, scholars in STS studies, security studies scholars and legal scholars.

Big Data

Author : Benoit Leclerc
Publisher : Routledge
ISBN 13 : 1351029681
Total Pages : 132 pages
Book Rating : 4.3/5 (51 download)

DOWNLOAD NOW!

Book Synopsis Big Data by : Benoit Leclerc

Download or read book Big Data written by Benoit Leclerc and published by Routledge. This book was released on 2020-02-14 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet has launched the world into an era into which enormous amounts of data are generated every day through technologies with both positive and negative consequences. This often refers to big data . This book explores big data in organisations operating in the criminology and criminal justice fields. Big data entails a major disruption in the ways we think about and do things, which certainly applies to most organisations including those operating in the criminology and criminal justice fields. Big data is currently disrupting processes in most organisations – how different organisations collaborate with one another, how organisations develop products or services, how organisations can identify, recruit, and evaluate talent, how organisations can make better decisions based on empirical evidence rather than intuition, and how organisations can quickly implement any transformation plan, to name a few. All these processes are important to tap into, but two underlying processes are critical to establish a foundation that will permit organisations to flourish and thrive in the era of big data – creating a culture more receptive to big data and implementing a systematic data analytics-driven process within the organisation. Written in a clear and direct style, this book will appeal to students and scholars in criminology, criminal justice, sociology, and cultural studies but also to government agencies, corporate and non-corporate organisations, or virtually any other institution impacted by big data.

Ethical Dilemmas in International Criminological Research

Author : Michael Adorjan
Publisher : Taylor & Francis
ISBN 13 : 1000853527
Total Pages : 184 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Ethical Dilemmas in International Criminological Research by : Michael Adorjan

Download or read book Ethical Dilemmas in International Criminological Research written by Michael Adorjan and published by Taylor & Francis. This book was released on 2023-03-31 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building on the editors’ previous publication, Engaging with Ethics in International Criminological Research, this new book brings together a fresh collection of leading international scholars tackling ethical dilemmas in criminological research. Contributors address how they have experienced and addressed ethical issues in their research, and how they have balanced the benefits and harms of doing such research for both the researcher and the researched. Ethical Dilemmas in International Criminological Research draws on various issues across a range of jurisdictions and political and social contexts, including cybercrime and transgressive online actions; state and police responses to crime; the war on drugs; working with traumatised participants in criminological research; punishment and prison; and sex, sexualities, and gender. Moreover, this collection aims to offer a truly international perspective, including insights from research projects in the Global South. This book is essential reading for junior scholars just starting out with original research, as well as more seasoned researchers looking to gain insights into the challenges of criminological research in other cultural contexts. It is also instructive reading for students taking courses in criminological and social research methods.

Understanding Criminal Networks

Author : Gisela Bichler
Publisher : University of California Press
ISBN 13 : 0520297040
Total Pages : 267 pages
Book Rating : 4.5/5 (22 download)

DOWNLOAD NOW!

Book Synopsis Understanding Criminal Networks by : Gisela Bichler

Download or read book Understanding Criminal Networks written by Gisela Bichler and published by University of California Press. This book was released on 2019-09-24 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written by Gisela Bichler, a leading expert in SNA for dark networks, the book is chock-full of graphics, checklists, software tips, step-by-step guidance, and straightforward advice. Covering all the essentials, each chapter highlights three themes: the theoretical basis of networked criminology, methodological issues and useful analytic tools, and producing professional analysis. Unlike any other book on the market, the book combines conceptual and empirical work with advice on designing networking studies, collecting data, and analysis. Relevant, practical, theoretical, and methodologically innovative, Understanding Criminal Networks promises to jumpstart readers’ understanding of how to cross over from conventional investigations of crime to the study of criminal networks.