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192.168.6.56/handle/123456789/76543
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DC Field | Value | Language |
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dc.contributor.author | Daniel Mittelstadt, Brent | - |
dc.contributor.editor | Brent Daniel Mittelstadt ,Luciano Floridi Pompeu Casanovas and Giovanni Sartor | en_US |
dc.date.accessioned | 2019-07-24T09:19:52Z | - |
dc.date.available | 2019-07-24T09:19:52Z | - |
dc.date.issued | 2016 | - |
dc.identifier.isbn | 978-3-319-33525-4 | - |
dc.identifier.uri | http://10.6.20.12:80/handle/123456789/76543 | - |
dc.description | The Law-Governance and Technology Series is intended to attract manuscripts arising from an interdisciplinary approach in law, artificial intelligence and information technologies. The idea is to bridge the gap between research in IT law and ITapplications for lawyers developing a unifying techno-legal perspective. The series will welcome proposals that have a fairly specific focus on problems or projects that will lead to innovative research charting the course for new interdisciplinary developments in law, legal theory, and law and society research as well as in computer technologies, artificial intelligence and cognitive sciences. In broad strokes, manuscripts for this series may be mainly located in the fields of the Internet law (data protection, intellectual property, Internet rights, etc.), Computational models of the legal contents and legal reasoning, Legal Information Retrieval, Electronic Data Discovery, Collaborative Tools (e.g. Online Dispute Resolution platforms), Metadata and XML Technologies (for Semantic Web Services), Technologies in Courtrooms and Judicial Offices (E-Court), Technologies for Governments and Administrations (E-Government), Legal Multimedia, and Legal Electronic Institutions (Multi-Agent Systems and Artificial Societies). | en_US |
dc.language | English | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Biomedical Big Data | en_US |
dc.title | The Ethics of Biomedical Big Data | en_US |
dc.type | Book | en_US |
Appears in Collections: | History |
Files in This Item:
File | Description | Size | Format | |
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146.pdf.pdf | 3.85 MB | Adobe PDF | View/Open |
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