| Physical description |
1 online resource (512 pages). |
| Series |
Research handbooks in information law
|
| Notes |
Includes index. |
| Contents |
Contents: 1. Introduction / Vanessa Mak, Eric Tjong Tjin Tai and Anna Berlee -- Part I Regulating data science -- 2. Contract and consumer law / Vanessa Mak -- 3. Liability for data loss / Vincenzo Zeno-Zencovitch -- 4. Liability for (semi)autonomous systems: robots and algorithms / Eric Tjong Tjin Tai -- 5. Consumer contracts and the Internet of Things / Katarzyna Kryla-Cudna -- 6. Pledge and attachment of data files under Belgian Law / Koen Swinnen -- 7. Data and intellectual property law / Michael Mattioli -- 8. Legal tech and blockchain for corporate governance and shareholders / Anne Lafarre and Christoph van der Elst -- 9. Data and competition law / Rupprecht Podszun and Stefan Kreifels -- 10. Data science, data crime and the law / Maria Grazia Porcedda and David S. Wall -- 11. Data-driven regulation and governance in smart cities / Sofia Ranchordás and Abram Klop -- 12. Data science and public administration research: connecting agency rules and red tape / Wesley Kaufamnn -- 13. Data science and taxation / Ronald Russo -- 14. Data localization measures and their impacts on data science / Helena Ursic, Ruslan Nurullaev, Míchel Olmedo Cuevas and Paweł Szulewski -- Part II -- Developing a new discipline -- 15. Methods of data research for law / Bart Custers -- 16. Data and fundamental rights / Angela Daly, Anna Carlson and Tess Van Geelen -- 17. Granular legal norms: big data and the personalization of private law / Christoph Busch and Alberto De Franceschi -- 18. Data analysis, artificial intelligence and the judiciary system / Bart Jan van Ettekoven and Corien Prins -- 19. Conclusion / Vanessa Mak, Eric Tjong Tjin Tai and Anna Berlee -- Index. |
| Summary |
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. |
| Notes |
Description based on print record. |
| Other author |
Mak, Vanessa, 1979- editor.
|
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Tjong Tjin Tai, Then Foek Eric, 1967- editor.
|
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Berlee, Anna, editor.
|
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Edward Elgar Publishing, publisher.
|
| Subject |
Statistical services -- Law and legislation.
|
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Quantitative research -- Data processing.
|
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Electronic books. |
| ISBN |
9781788111300 (e-book) |
|
