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Research / Academic

DataEthics-Research/Academic focuses on critical independent academic research. We are developing our evidence and research base. The objective is to conduct and publish interdisciplinary constructive research with a trans-technical and sectoral focus on data technology and practices. This includes identifying, engaging and collaborating with key academic and research actors in the field.

Currently DataEthics is exploring:

  • The conceptualisation of data, ethics and power
  • Sustainability issues of the data of AI (The Data Pollution & Power Initiative)
  • Data ethics in public procurement of AI

What is ‘data ethics’?

There are a range of theories, practices and methods within applied ethics, legal studies and cultural studies, social and political sciences, as well as a movement within policy, civil society organisations and even the industry that are, and have been for a long time, shaping what we today refer to as “data ethics”.
See more here.






Director of Research PhD. Gry Hasselbalch:

Academic Coordinator Natalia Stanusch: Scholars

Gry Hasselbalch, PhD. in data ethics

Birgitte Kofod Olsen, PhD. in biometrics and privacy

Affiliated Scholars

Carolina Aguerre, Researcher and Professor, Universidad de San Andres

Rikke Frank Jørgensen, PhD., Senior Researcher, Danish Institute of Human Rights

Marc Rotenberg, President and Founder, The Center for AI and Digital Policy

Paul Nemitz, Principal Advisor on Justice Policy, European Commission

Frank Pasquale, Professor of Law, Brooklyn Law School

Nathalie Smuha, PhD., Researcher, KU Leuven

Aimee van Wynsberghe, Professor of Applied Ethics, University of Bonn


See’s Affiliated Scholars paper “Generating AI: A Historical, Cultural, and Political Analysis of Generative Artificial Intelligence” (2023) submitted to the Office of the UN Secretary-General’s Envoy on Technology Call for Papers on Global AI Governance.