The use of data in society has seen an exponential growth in recent years. Data science, the field of research concerned with understanding and analyzing data, aims to find ways to operationalize data so that it can be beneficially used in society, for example in health applications, urban governance or smart household devices. The legal questions that accompany the rise of new, data-driven technologies however are underexplored. This book is the first volume that seeks to map the legal implications of the emergence of data science. It discusses the possibilities and limitations imposed by the current legal framework, considers whether regulation is needed to respond to problems raised by data science, and which ethical problems occur in relation to the use of data. It also considers the emergence of Data Science and Law as a new legal discipline.

This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

This comprehensive Encyclopedia is an indispensable resource in the area of law and development. Bringing together more than 80 entries, the Encyclopedia spans a variety of approaches, contextualised histories, recent developments and forward-looking insights into the role of law in development. It is an invaluable reference point for scholars seeking to engage with issues at the intersection of law and development from both within and outside of the legal field, as well as a thorough but succinct overview for post-graduate students.

Empirical Legal Research describes how to investigate the roles of legislation, regulation, legal policies and other legal arrangements at play in society. It is invaluable as a guide to legal scholars, practitioners and students on how to do empirical legal research, covering history, methods, evidence, growth of knowledge and links with normativity. This multidisciplinary approach combines insights and approaches from different social sciences, evaluation studies, Big Data analytics and empirically informed ethics. The authors present an overview of the roots of this blossoming interdisciplinary domain, going back to legal realism, the fields of law, economics and the social sciences, and also to civilology and evaluation studies. The book addresses not only data analysis and statistics, but also how to formulate adequate research problems, to use (and test) different types of theories (explanatory and intervention theories) and to apply new forms of literature research to the field of law such as the systematic, rapid and realist reviews and synthesis studies. The choice and architecture of research designs, the collection of data, including Big Data, and how to analyze and visualize data are also covered. The book discusses the tensions between the normative character of law and legal issues and the descriptive and causal character of empirical legal research, and suggests ways to help handle this seeming disconnect. This comprehensive guide is vital reading for law practitioners as well as for students and researchers dealing with regulation, legislation and other legal arrangements.

The field of artificial intelligence (AI) has made tremendous advances in the last two decades, but as smart as AI is now, it is getting smarter and becoming more autonomous. This raises a host of challenges to current legal doctrine, including whether AI/algorithms should count as ‘speech’, whether AI should be regulated under antitrust and criminal law statutes, and whether AI should be considered as an agent under agency law or be held responsible for injuries under tort law. This book contains chapters from US and international law scholars on the role of law in an age of increasingly smart AI, addressing these and other issues that are critical to the evolution of the field.

Acclaim for the first edition: ïThis is a very important and immense book. . . The Elgar Encyclopedia of Comparative Law is a treasure-trove of honed knowledge of the laws of many countries. It is a reference book for dipping into, time and time again. It is worth every penny and there is not another as comprehensive in its coverage as ElgarÍs. I highly recommend the Elgar Encyclopedia of Comparative Law to all English chambers. This is a very important book that should be sitting in every university law school library.Í _ Sally Ramage, The Criminal Lawyer Containing newly updated versions of existing entries and adding several important new entries, this second edition of the Elgar Encyclopedia of Comparative Law takes stock of present-day comparative law scholarship. Written by leading authorities in their respective fields, the contributions in this accessible book cover and combine not only questions regarding the methodology of comparative law, but also specific areas of law (such as administrative law and criminal law) and specific topics (such as accident compensation and consideration). In addition, the Encyclopedia contains reports on a selected set of countriesÍ legal systems and, as a whole, presents an overview of the current state of affairs. Providing its readers with a unique point of reference, as well as stimulus for further research, this volume is an indispensable tool for anyone interested in comparative law, especially academics, students and practitioners.

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.