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.

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 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.

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 state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.

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