The Resource Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource)
Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource)
Resource Information
The item Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute Library.This item is available to borrow from 1 library branch.
Resource Information
The item Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in European University Institute Library.
This item is available to borrow from 1 library branch.
- 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.--
- Language
- eng
- Extent
- 1 online resource (512 pages).
- Note
- 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
- Isbn
- 9781788111300
- Label
- Research handbook in data science and law
- Title
- Research handbook in data science and law
- Statement of responsibility
- edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands)
- Language
- eng
- 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.--
- Assigning source
- Provided by publisher
- Cataloging source
- DLC
- Index
- index present
- Literary form
- non fiction
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorDate
-
- 1979-
- 1967-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Mak, Vanessa
- Tjong Tjin Tai, Then Foek Eric
- Berlee, Anna
- Series statement
-
- Research handbooks in information law
- ElgarOnline eBooks
- http://library.link/vocab/subjectName
-
- Statistical services
- Quantitative research
- Label
- Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource)
- Note
- Includes index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- eep9781788111300
- Dimensions
- unknown
- Extent
- 1 online resource (512 pages).
- Form of item
- online
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9781788111300
- Isbn Type
- (e-book)
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)1043842236
- Label
- Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource)
- Note
- Includes index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Control code
- eep9781788111300
- Dimensions
- unknown
- Extent
- 1 online resource (512 pages).
- Form of item
- online
- Governing access note
- Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
- Isbn
- 9781788111300
- Isbn Type
- (e-book)
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Specific material designation
- remote
- System control number
- (OCoLC)1043842236
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.eui.eu/portal/Research-handbook-in-data-science-and-law-edited/_Qnz5PfTt9I/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.eui.eu/portal/Research-handbook-in-data-science-and-law-edited/_Qnz5PfTt9I/">Research handbook in data science and law, edited by Vanessa Mak, Eric Tjong Tjin Tai (Tilburg University), and Anna Berlee (Utrecht University, the Netherlands), (electronic resource)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.eui.eu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="https://link.library.eui.eu/">European University Institute Library</a></span></span></span></span></div>
