This book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.

Unconventional Anthroponyms: Formation Patterns and Discursive Function continues a series of collective volumes comprising studies on onomastics, edited by Oliviu Felecan with Cambridge Scholars Publishing. Previous titles in this series include Name and Naming: Synchronic and Diachronic Perspectives (2012) and Onomastics in Contemporary Public Space (2013, co-edited with Alina Bugheşiu). In contemporary naming practice, one can distinguish two verbal (linguistic) means of nominal referential identification: a “natural” one, which occurs in the process of conventional, official, canonical, standard naming and results in conventional/official/canonical/standard anthroponyms; a “motivated” one, which occurs in the process of unconventional, unofficial, uncanonical, non-standard naming and results in unconventional/unofficial/uncanonical/non-standard anthroponyms. The significance of an official name is arbitrary, conventional, unmotivated, occasional and circumstantial, as names are not likely to carry any intrinsic meaning; names are given by third parties (parents, godparents, other relatives and so on) with the intention to individualise (to differentiate from other individuals). Any meaning with which a name might be endowed should be credited to the name giver: s/he assigns several potential interpretations to the phonetic form of choice, based on his/her aesthetic and cultural options and other kinds of tastes, which are manifested at a certain time. Unconventional anthroponyms (nicknames, bynames, user names, pseudonyms, hypocoristics, individual and group appellatives that undergo anthroponymisation) are nominal “derivatives” that result from a name giver’s wish to attach a specifying/defining verbal (linguistic) tag to a certain individual. An unconventional anthroponym is a person’s singular signum, which may convey a practical necessity (to avoid anthroponymic homonymy: the existence of several bearers for a particular name) or the intention to qualify a certain human type (to underline specific difference – in this case, the unconventional anthroponym has an over-individualising role – or, on the contrary, to mark an individual’s belonging to a class, his/her association with other individuals with whom s/he is typologically related – see the case of generic unconventional anthroponyms).

This Festschrift volume is published in Honor of Yaacov Choueka on the occasion of this 75th birthday. The present three-volumes liber amicorum, several years in gestation, honours this outstanding Israeli computer scientist and is dedicated to him and to his scientific endeavours. Yaacov's research has had a major impact not only within the walls of academia, but also in the daily life of lay users of such technology that originated from his research. An especially amazing aspect of the temporal span of his scholarly work is that half a century after his influential research from the early 1960s, a project in which he is currently involved is proving to be a sensation, as will become apparent from what follows. Yaacov Choueka began his research career in the theory of computer science, dealing with basic questions regarding the relation between mathematical logic and automata theory. From formal languages, Yaacov moved to natural languages. He was a founder of natural-language processing in Israel, developing numerous tools for Hebrew. He is best known for his primary role, together with Aviezri Fraenkel, in the development of the Responsa Project, one of the earliest fulltext retrieval systems in the world. More recently, he has headed the Friedberg Genizah Project, which is bringing the treasures of the Cairo Genizah into the Digital Age. This second part of the three-volume set covers a range of topics related to the application of information technology in humanities, law, and narratives. The papers are grouped in topical sections on: humanities computing; narratives and their formal representation; history of ideas: the numerate disciplines; law, computer law, and legal computing.

This energetic and thought-provoking book encourages a reflexive, non-nationalistic approach to doing world research and sets out how to understand, plan, do and use this research. Williams introduces a range of frameworks, from desk-based studies and traditional ethnography to the use of internet, satellites, robots, drones and ‘big data’, and provides exciting, interdisciplinary examples. This book is presented in a clear international style and uses creative approaches to researching peoples, places and world systems. It explains: desk-based research using international data including documentaries, museum objects, archives, data-sets and working with groups such as refugees, tourists and migrants distance research using online videos, surveys and remote methods such as video conferencing and crowdsourcing fieldwork abroad, including ethnography, street observation and mapping. The book is also accompanied by a website, with the following features: For Students Weblinks for each chapter Examples/summaries/templates related to text marked with Additional thinking zones An overview of data capture technologies For Lecturers Copies of all the figures and thinking zones for use in teaching material PowerPoint slides for each chapter Built upon the foundations of the author’s 30 years of research experience, and including original case studies from international students, this is an essential guide for anyone in the social sciences using or doing international and global research.

This exciting new text consolidates the hows and whys of researching powerful people. Written by a leading authority in the field, this book introduces the reader to a significant area of methodology, and provides a research-based contribution to elite and leadership studies. It offers a truly international perspective that will appeal to those studying and engaging with powerful people in a variety of contexts. Useful features include: - A variety of case studies and examples linked to over 1000 sources and resources - Extensive use of figures throughout the text to illustrate key points - Templates and models for planning and presentations The book promotes a practical future-oriented approach to support and inspire academic, professional and civil society researchers at all levels. It introduces new research frameworks and facilitates critical techniques through Critical Process Analysis. This is a must-have resource and an excellent new addition to the field of elite and leadership studies.

The book covers the overview of cyberfraud and the associated global statistics. It demonstrates practicable techniques that financial institutions can employ to make effective decisions geared towards cyberfraud mitigation. Furthermore, the book contains some emerging technologies, such as information and communication technologies (ICT), forensic accounting, big data technologies, tools and analytics employed in fraud mitigation. In addition, it highlights the implementation of some techniques, such as the fuzzy analytical hierarchy process (FAHP) and system thinking approach to address information and security challenges. The book combines a case study, empirical findings, a systematic literature review and theoretical and conceptual concepts to provide practicable solutions to mitigate cyberfraud. The major contributions of this book include the demonstration of digital and emerging techniques, such as forensic accounting for cyber fraud mitigation. It also provides in-depth statistics about cyber fraud, its causes, its threat actors, practicable mitigation solutions, and the application of a theoretical framework for fraud profiling and mitigation.

From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.