Download or read book Computational Legal Studies written by Ryan Whalen and published by Edward Elgar Publishing. This book was released on 2020-09-25 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring contributions from a diverse set of experts, this thought-provoking book offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection, and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies.
Download or read book Computational Legal Studies written by Ryan Whalen and published by Edward Elgar Publishing. This book was released on 2020-09-25 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Legal Studies offers a visionary introduction to the computational turn in law and the resulting emergence of the computational legal studies field. It explores how computational data creation, collection and analysis techniques are transforming the way in which we comprehend and study the law, and the implications that this has for the future of legal studies. Featuring contributions from a diverse set of experts, this thought-provoking book considers the implications of computationally enabled research and the future trajectory of the field. It discusses how technological, scientific and methodological developments are not only making the traditional practice of law more efficient but are also creating new perspectives on the law and shaping how we understand it. Chapters draw on a range of examples of computational legal research to demonstrate how a wide variety of research methods, including natural language processing, machine learning, agent-based modelling, and network analysis, are transforming the relationship between law and computation. This book will prove to be a stimulating read for legal academics looking for a better understanding of this emerging field and for law students interested in new legal research techniques. It will also be a valuable resource for legal firms and computational social scientists interested in examining how law is adopting computational methods.
Download or read book Legal Informatics written by Daniel Martin Katz and published by Cambridge University Press. This book was released on 2021-02-18 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge volume offers a theoretical and applied introduction to the emerging legal technology and informatics industry.
Download or read book Law as Data written by Michael A. Livermore and published by Seminar. This book was released on 2018-12 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis. By using the text and underlying data of legal documents as the direct objects of quantitative statistical analysis, Law as Data introduces the legal world to the broad range of computational tools already proving themselves relevant to law scholarship and practice, and highlights the early steps in what promises to be an exciting new approach to studying the law.
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 242 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.
Download or read book Privacy Due Process and the Computational Turn written by Mireille Hildebrandt and published by Routledge. This book was released on 2013-06-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Privacy, Due process and the Computational Turn: The Philosophy of Law Meets the Philosophy of Technology engages with the rapidly developing computational aspects of our world including data mining, behavioural advertising, iGovernment, profiling for intelligence, customer relationship management, smart search engines, personalized news feeds, and so on in order to consider their implications for the assumptions on which our legal framework has been built. The contributions to this volume focus on the issue of privacy, which is often equated with data privacy and data security, location privacy, anonymity, pseudonymity, unobservability, and unlinkability. Here, however, the extent to which predictive and other types of data analytics operate in ways that may or may not violate privacy is rigorously taken up, both technologically and legally, in order to open up new possibilities for considering, and contesting, how we are increasingly being correlated and categorizedin relationship with due process – the right to contest how the profiling systems are categorizing and deciding about us.
Download or read book Computational Models of Argument written by H. Prakken and published by IOS Press. This book was released on 2020-09-25 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.
Download or read book Artificial Intelligence and Legal Analytics written by Kevin D. Ashley and published by Cambridge University Press. This book was released on 2017-07-10 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.
Download or read book The Oxford Handbook of Empirical Legal Research written by Peter Cane and published by OUP Oxford. This book was released on 2012-05-17 with total page 1112 pages. Available in PDF, EPUB and Kindle. Book excerpt: The empirical study of law, legal systems and legal institutions is widely viewed as one of the most exciting and important intellectual developments in the modern history of legal research. Motivated by a conviction that legal phenomena can and should be understood not only in normative terms but also as social practices of political, economic and ethical significance, empirical legal researchers have used quantitative and qualitative methods to illuminate many aspects of law's meaning, operation and impact. In the 43 chapters of The Oxford Handbook of Empirical Legal Research leading scholars provide accessible and original discussions of the history, aims and methods of empirical research about law, as well as its achievements and potential. The Handbook has three parts. The first deals with the development and institutional context of empirical legal research. The second - and largest - part consists of critical accounts of empirical research on many aspects of the legal world - on criminal law, civil law, public law, regulatory law and international law; on lawyers, judicial institutions, legal procedures and evidence; and on legal pluralism and the public understanding of law. The third part introduces readers to the methods of empirical research, and its place in the law school curriculum.
Download or read book Legal Knowledge and Information Systems written by M. Araszkiewicz and published by IOS Press. This book was released on 2019-12-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the application of machine learning tools to legally relevant tasks has become much more prevalent, and the growing influence of AI in the legal sphere has prompted the profession to take more of an interest in the explainability, trustworthiness, and responsibility of intelligent systems. This book presents the proceedings of the 32nd International Conference on Legal Knowledge and Information Systems (JURIX 2019), held in Madrid, Spain, from 11 to 13 December 2019. Traditionally focused on legal knowledge representation and engineering, computational models of legal reasoning, and analyses of legal data, more recently the conference has also encompassed the use of machine learning tools. A total of 81 submissions were received for the conference, of which 14 were selected as full papers and 17 as short papers. A further 3 submissions were accepted as demo presentations, resulting in a total acceptance rate of 41.98%, with a competitive 25.5% acceptance rate for full papers. The 34 papers presented here cover a broad range of topics, from computational models of legal argumentation, case-based reasoning, legal ontologies, and evidential reasoning, through classification of different types of text in legal documents and comparing similarities, to the relevance of judicial decisions to issues of governmental transparency. The book will be of interest to all those whose work involves the use of knowledge and information systems in the legal sphere.
Download or read book Human Law and Computer Law Comparative Perspectives written by Mireille Hildebrandt and published by Springer Science & Business Media. This book was released on 2013-05-23 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on the epistemological and hermeneutic implications of data science and artificial intelligence for democracy and the Rule of Law. How do the normative effects of automated decision systems or the interventions of robotic fellow ‘beings’ compare to the legal effect of written and unwritten law? To investigate these questions the book brings together two disciplinary perspectives rarely combined within the framework of one volume. One starts from the perspective of ‘code and law’ and the other develops from the domain of ‘law and literature’. Integrating original analyses of relevant novels or films, the authors discuss how computational technologies challenge traditional forms of legal thought and affect the regulation of human behavior. Thus, pertinent questions are raised about the theoretical assumptions underlying both scientific and legal practice.
Download or read book Doing Computational Social Science written by John McLevey and published by SAGE. This book was released on 2021-12-15 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.
Download or read book Handbook of Computational Social Science Volume 1 written by Uwe Engel and published by Taylor & Francis. This book was released on 2021-11-10 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.
Download or read book Computational Intelligence for Managing Pandemics written by Aditya Khamparia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-09-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.
Download or read book Computational Intelligence for Machine Learning and Healthcare Informatics written by Rajshree Srivastava and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-22 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.
Download or read book Language Cognition and Computational Models written by Thierry Poibeau and published by Cambridge University Press. This book was released on 2018-01-25 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
Download or read book The Oxford Handbook of Legal Studies written by Peter Cane and published by Oxford University Press, USA. This book was released on 2005 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a widely acessible overview of legal scholarship at the dawn of the 21st century. Through 43 essays by leading legal scholars based in the USA, the UK, Australia, New Zealand, Canada, and Germany, it provides a varied and stimulating set of road maps to guide readers through the increasingly large and conceptually sophisticated body of legal scholarship. Focusing mainly, though not exclusively, on scholarship in the English language and taking an international and comparative approach, the contributors offer original and interpretative accounts of the nature, themes, and preoccupations of research and writing about law. They then go on to consider likely trends in scholarship in the next decade or so.
