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Data Sharing & Privacy


In the recent years we have had a focus on how society have become a surveillance society and how privacy is dead. At the same time regulators in the EU have tried to reinscribe privacy on the legal and political agenda, but still we see thousands of incidences of identity theft and illegally circulated content by third party. How do we go beyond surveillance and privacy and address this challenge in a new way?

More on this Grand Challenge


2020.01.28 | DATALAB, Disinformation, Data sharing and privacy, Algorithmic operation and control, Survival of Quality Content

DATALAB contributes to AoIR’s Internet Research Ethics Guidelines 3.0

As a reaction to new technological developments, including the political and institutional pressure on researchers, the Association of Internet Researchers (AoIR) has recently published the third edition of guidelines for ethics in Internet Research: “Ethical Guidelines 3.0” (IRE 3.0).

2019.11.22 | DATALAB, Algorithmic operation and control, Data sharing and privacy

A social science perspective on the Next Generation Internet

In Brisbane, Australia, DATALAB gathered internet researchers from around the world for a workshop on the development of a more human-centered internet.

2019.11.22 | DATALAB, Algorithmic operation and control, Data sharing and privacy

Machine learning and big data can challenge due process if used without consideration (in Danish)

Many people consider decisions based on data as neutral, but a case from the United States illustrate that they aren’t. Read the commentary in Jyllands-Posten from DATALAB's Simon Enni and Anja Bechmann.