Eric Tjong Tjin Tai – författare

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. Considering the emergence of Data Science and Law as a new legal discipline, the editors analyze pressing legal questions accompanying the rise of data-driven technologies. Drawing on comparative perspectives, this revised edition examines the possibilities and limitations of the current legal framework, investigating whether new regulation is needed to respond to problems raised by data science, and detailing the potential ethical issues arising from the use of data. It also evaluates the evolution of the regulation of artificial intelligence, generative AI and large language models, and EU legislation concerning consumer contract law and data protection. The Research Handbook in Data Science and Law is an essential resource for students of information and media law, internet and technology law, and research methods in law, as well as legal scholars and practitioners in the field. Data scientists seeking to further understand the law surrounding the field will also find this Research Handbook invaluable.

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.

Considering the emergence of Data Science and Law as a new legal discipline, the editors analyze pressing legal questions accompanying the rise of data-driven technologies. Drawing on comparative perspectives, this revised edition examines the possibilities and limitations of the current legal framework, investigating whether new regulation is needed to respond to problems raised by data science, and detailing the potential ethical issues arising from the use of data. It also evaluates the evolution of the regulation of artificial intelligence, generative AI and large language models, and EU legislation concerning consumer contract law and data protection.

The Research Handbook in Data Science and Law is an essential resource for students of information and media law, internet and technology law, and research methods in law, as well as legal scholars and practitioners in the field. Data scientists seeking to further understand the law surrounding the field will also find this Research Handbook invaluable.

This thoroughly updated second edition provides a clear and structured introduction to the subject of tort law with a global outlook. It lays out an accessible overview of the key concepts and doctrines, illustrated with case law and provisions from around the world, and uses a comparative approach to explore three key jurisdictions: England, France and Germany. Including the latest developments in the field, this is the ideal textbook to aid readers’ comparative understanding of the topic by clarifying corresponding concepts and terminology. Key Features:Explains new doctrinal works and case lawConsiders tort law families across the world, alongside customary and regional lawExplores emerging rules, such as the revised Product Liability Directive and expands definitions, such as that of defamationRevises concepts including private nuisance and assumption of responsibility within negligence and highlights concepts that are often overlooked This book is a valuable foundational text for those teaching, researching or being introduced to comparative tort law and international litigation.

This thoroughly updated second edition provides a clear and structured introduction to the subject of tort law with a global outlook. It lays out an accessible overview of the key concepts and doctrines, illustrated with case law and provisions from around the world, and uses a comparative approach to explore three key jurisdictions: England, France and Germany. Including the latest developments in the field, this is the ideal textbook to aid readers’ comparative understanding of the topic by clarifying corresponding concepts and terminology. Key Features:Explains new doctrinal works and case lawConsiders tort law families across the world, alongside customary and regional lawExplores emerging rules, such as the revised Product Liability Directive and expands definitions, such as that of defamationRevises concepts including private nuisance and assumption of responsibility within negligence and highlights concepts that are often overlooked This book is a valuable foundational text for those teaching, researching or being introduced to comparative tort law and international litigation.

The generation and use of data in society has seen exponential growth in recent years. The emergent field of data science, concerned with understanding and analyzing this data, can be applied to applications spanning from healthcare and urban planning to smart household devices. The legal questions which accompany the rise of these technologies, however, remains underexplored. Breaking new ground this Research Handbook maps the legal implications of the emergence of data science.

Drawing on comparative perspectives, this Research Handbook approaches the subject from different legal domains, considering the possibilities and limitations of the current legal framework. Reflecting on whether further regulation is needed to address the ethical and legal problems raised by data science, the contributors examine how the practice is, and should be, regulated and how it influences the law, judiciary, and legal research. The book makes a vital contribution to the emerging field of data science and law as a discipline, and covers data science methodologies and tools essential for both legal practice and scholarship.

The Research Handbook in Data Science and Law will be an important resource for students interested in data and technology law, as well as for legal scholars and practitioners in the field. Data scientists seeking an introduction to the law surrounding the field will also find this Research Handbook invaluable.

Contributors include: A. Berlee, C. Busch, A. Carlson, M.O. Cuevas, B. Custers, A. Daly, A. De Franceschi, W. Kaufmann, A. Klop, S. Kreifels, K.M. Kryla-Cudna, A.J.F. Lafarre, V. Mak, M. Mattioli, R. Nurullaev, R. Podszun, M.G. Porcedda, C. Prins, S. Ranchordas, R. Russo, K.K.E.C.T. Swinnen, P. Szulewski, E.T.T. Tai, H. U