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Understanding information for legal protection of people against information-induced harms

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Publications

The Concept of ‘Information’: An Invisible Problem in the GDPR

Author(s): Dara Hallinan, Raphaël Gellert
Published in: SCRIPT-ed, 17/2, 2020, Page(s) 269-319, ISSN 1744-2567
Publisher: the Centre for Research in Intellectual Property and Technology Law, the School of Law, University of Edinburgh
DOI: 10.2966/scrip.170220.269

Data protection law beyond identifiability? Atmospheric profiles, nudging and the Stratumseind Living Lab

Author(s): Maša Galič, Raphaël Gellert
Published in: Computer Law & Security Review, 40, 2021, Page(s) 105486, ISSN 0267-3649
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.clsr.2020.105486

The law of everything. Broad concept of personal data and future of EU data protection law

Author(s): Nadezhda Purtova
Published in: Law, Innovation and Technology, 10/1, 2018, Page(s) 40-81, ISSN 1757-9961
Publisher: Taylor & Francis
DOI: 10.1080/17579961.2018.1452176

Do property rights in personal data make sense after the Big Data turn? Individual control and transparency.

Author(s): Nadezhda Purtova
Published in: Journal of Law and Economic Regulation, Vol 10 Issue 2, 2017, Page(s) 208-222, ISSN 2005-0372
Publisher: Center for Law and Public Utilities

What is responsible and sustainable data science?

Author(s): Linnet Taylor, Nadezhda Purtova
Published in: Big Data & Society, 6/2, 2019, Page(s) 205395171985811, ISSN 2053-9517
Publisher: Sage
DOI: 10.1177/2053951719858114

Towards a Holistic Regulatory Approach for the European Data Economy: Why the Illusive Notion of Non-Personal Data is Counterproductive to Data Innovation.

Author(s): Inge Graef, Rafael Gellert, Martin Husovec
Published in: European Law Review, 2019, Page(s) 605-621, ISSN 0307-5400
Publisher: Sweet & Maxwell Ltd

Personal data’s ever-expanding scope in smart environments and possible path(s) for regulating emerging digital technologies

Author(s): Raphaël Gellert
Published in: International Data Privacy Law, 11/2, 2021, Page(s) 196-208, ISSN 2044-3994
Publisher: Elsevier
DOI: 10.1093/idpl/ipaa023

Comparing definitions of data and information in data protection law and machine learning: A useful way forward to meaningfully regulate algorithms?

Author(s): Raphaël Gellert
Published in: Regulation & Governance, 2020, ISSN 1748-5983
Publisher: Blackwell Publishing Inc.
DOI: 10.1111/rego.12349