Alexandra Giannopoulou, Author at IVIR

Room: 5.15

Phone:

: Alexandra

Alexandra Giannopoulou is a postdoctoral researcher at the Blockchain and Society Policy Lab at the Institute for Information Law (IViR), University of Amsterdam. She is an associate researcher at the ISCC within the research group Information and Commons Governance and she has also worked as a research fellow at Humboldt Institute for Internet and Society (HIIG) in Berlin. Alexandra Giannopoulou is a graduate of the Aristotle University of Thessaloniki and of the University of Paris West Nanterre La Defense. She holds a PhD from the Center for Legal and Economic Studies of Multimedia (CEJEM) at the University of Paris II Pantheon-Assas, which was presented on December 2016. Her PhD thesis entitled "The Creative Commons licenses" and supervised by Professor Jérôme Huet evaluates the legal status of the Creative Commons licenses on an international, European and national scale and assesses the effects of Creative Commons (as a transnational copyright management system) to reforms of the current normative framework. During her doctoral studies, she was a visiting researcher at Stanford Law School supervised by Professor Paul Goldstein (2012) and a junior lecturer (ATER) at the University of Paris Ouest Nanterre la Défense (2014-2016).

Publications

Giannopoulou, A.

Putting Data Protection by Design on the Blockchain

In: European Data Protection Law Review, 7 (3), pp. 388-399, 2021.

(Abstract | Links | BibTeX)

Bodó, B., Giannopoulou, A., Irion, K., Janssen, H.

Personal data ordering in context: the interaction of meso-level data governance regimes with macro frameworks

In: Internet Policy Review, 10 (3), 2021.

(Abstract | Links | BibTeX)

@article{Bod\'{o}2021b,

title = {Personal data ordering in context: the interaction of meso-level data governance regimes with macro frameworks},

author = {Bod\'{o}, B. and Irion, K. and Janssen, H. and Giannopoulou, A.},

url = {https://policyreview.info/articles/analysis/personal-data-ordering-context-interaction-meso-level-data-governance-regimes},

doi = {10.14763/2021.3.1581},

year  = {2021},

date = {2021-10-11},

urldate = {2021-10-11},

journal = {Internet Policy Review},

volume = {10},

number = {3},

abstract = {The technological infrastructures enabling the collection, processing, and trading of data have fuelled a rapid innovation of data governance models. We differentiate between macro, meso, and micro level models, which correspond to major political blocks; societal-, industry-, or community level systems, and individual approaches, respectively. We focus on meso-level models, which coalesce around: (1) organisations prioritising their own interests over interests of other stakeholders; (2) organisations offering technological and legal tools aiming to empower individuals; (3) community-based data intermediaries fostering collective rights and interests. In this article we assess these meso-level models, and discuss their interaction with the macro-level legal frameworks that have evolved in the US, the EU, and China. The legal landscape has largely remained inconsistent and fragmented, with enforcement struggling to keep up with the latest developments. We argue, first, that the success of meso-logics is largely defined by global economic competition, and, second, that these meso-logics may potentially put the EU’s macro-level framework with its mixed internal market and fundamental rights-oriented model under pressure. We conclude that, given the relative absence of a strong macro level-framework and an intensive competition of governance models at meso-level, it may be challenging to avoid compromises to the European macro framework. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}