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 thoroughly updated Research Handbook examines the recent exponential growth of data use in society and its implications for legal research and practice. It explores contemporary research in the field of data science, as well as the operationalization of data for use in healthcare, urban governance and smart household devices, among others.
This extensive volume of the Elgar Encyclopedia of Environmental Law probes the essential concepts, contemporary research, and key elements of law at the intersection of international trade and international environmental law. Its succinct, structured entries provide a definitive and comprehensive assessment of the interactions between these fields, written by internationally renowned and recognized experts.
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.
Bringing together preeminent international researchers, emerging scholars and practitioners, Paul M. Pedersen presents the comprehensive Encyclopedia of Sport Management, offering detailed entries for the critical concepts and topics in the field.
This incisive book provides a much-needed examination of the legal issues arising from the data economy, particularly in the light of the expanding role of algorithms and artificial intelligence in business and industry. In doing so, it discusses the pressing question of how to strike a balance in the law between the interests of a variety of stakeholders, such as AI industry, businesses and consumers.
Companies, lawyers, privacy officers, compliance managers, as well as human resources, marketing and IT professionals are increasingly facing privacy issues. While plenty of information is freely available, it can be difficult to grasp a problem quickly, without getting lost in details and advocacy. This is where Determann’s Field Guide to Data Privacy Law comes into its own – identifying key issues and providing concise practical guidance for an increasingly complex field shaped by rapid change in international laws, technology and society
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.
This comprehensive volume of the Elgar Encyclopedia of Environmental Law provides an overview of the major elements of energy law from a global perspective. Based on an in-depth analysis of the energy chain, it offers insight into the impacts of climate change and environmental issues on energy law and the energy sector. This timely reference work highlights the need for modern energy law to consider environmental impacts and promote the use of clean energy sources, whilst also safeguarding a reliable and affordable energy supply.