News and Research articles on Data protection

This paper uncovers the risks inherent in facial recognition within law enforcement, exploring multidimensional aspects affecting data protection vs public security within the regulatory frameworks of the General Data Protection Regulation and the Artificial Intelligence Act.

This paper explores how four commonly proposed collective data intermediaries – data trusts, decentralised autonomous organisations, data cooperatives and data unions – have been envisioned and enacted by their proponents.

Older people and the smart city – Developing inclusive practices to protect and serve a vulnerable population

Aaro Tupasela, University of Helsinki
Juanita Devis Clavijo, Vrije Universiteit Brussel
Marjut Salokannel, University of Helsinki
Christoph Fink, University of Helsinki
PUBLISHED ON: 31 Mar 2023 DOI: 10.14763/2023.1.1700

The use of new technologies, such as location-based information devices, can provide up-to-date and precise information regarding the challenges that older people face while moving around the city, but they pose privacy concerns at the same time.

Substantively smart cities – Participation, fundamental rights and temporality

Philipp Hacker, European University Viadrina Frankfurt
Jürgen Neyer, European University Viadrina Frankfurt
PUBLISHED ON: 31 Mar 2023 DOI: 10.14763/2023.1.1696

Smart cities need citizen participation, robust data protection, non-discrimination and AI governance to effectively address the challenges of ever-changing technologies, function creep and political apathy.

Feminist data protection: an introduction

Jens T. Theilen, Helmut-Schmidt-University
Andreas Baur, University of Tübingen
Felix Bieker, Office of the Data Protection Commissioner Schleswig-Holstein
Regina Ammicht Quinn, University of Tübingen
Marit Hansen, Office of the Data Protection Commissioner Schleswig-Holstein
Gloria González Fuster, Vrije Universiteit Brussel
PUBLISHED ON: 7 Dec 2021 DOI: 10.14763/2021.4.1609

This editorial introduces ten research articles, which form part of this special issue, exploring feminist data protection.

Whiteness in and through data protection: an intersectional approach to anti-violence apps and #MeToo bots

Renee Shelby, Northwestern University
Jenna Imad Harb, Australian National University
Kathryn Henne, Australian National University
PUBLISHED ON: 7 Dec 2021 DOI: 10.14763/2021.4.1589

This analysis of digital technologies aimed at supporting survivors of sexual and gender-based violence illustrates how they reaffirm normative whiteness.

This paper process-traces how European policymakers have delegated regulatory responsibilities to private certification and monitoring bodies acting as regulatory intermediaries. It explores how regulators can constrain or incentivise self-regulation that exists in their shadow via intermediaries, instead of using direct modes of regulation.

Transnational collective actions for cross-border data protection violations

Federica Casarosa, European University Institute
PUBLISHED ON: 16 Sep 2020 DOI: 10.14763/2020.3.1498

Although the GDPR paves the way for a coordinated EU-wide legal action against data protection infringements, only a reform of private international law rules can enhance the opportunities of data subjects to enforce their rights.

Going global: Comparing Chinese mobile applications’ data and user privacy governance at home and abroad

Lianrui Jia, University of Toronto
Lotus Ruan, University of Toronto
PUBLISHED ON: 16 Sep 2020 DOI: 10.14763/2020.3.1502

This paper examines data and privacy governance by four China-based mobile applications and their international versions - including the role of the state. It also highlights the role of platforms in gatekeeping mobile app privacy standards.

What if Facebook goes down? Ethical and legal considerations for the demise of big tech

Carl Öhman, University of Oxford
Nikita Aggarwal, University of Oxford
PUBLISHED ON: 11 Aug 2020 DOI: 10.14763/2020.3.1488

This paper examines the ethical and legal issues arising from the closure of a data-rich firms such as Facebook and provides four policy recommendations to mitigate the resulting harms to society.