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Mireille Hildebrandt on Data Driven Intelligence and Data Protection Law at the International Conference of Data Protection & Privacy Commissioners (ICDPPC)


October 19th, 2016


Mireille Hildebrandt was one of the panelist of a closed session at the International Conference of Data

Protection & Privacy Commissioners conference taking place in Marrakech this week. Her slides are available

on their public site.


She used the concept of choice architecture, which derives from nudge theory and behavioural economics, to clarify why we need purpose limitation, highlighting the concepts of bias, opacity and pattern obesitas in

machine learning. Explaining how purposes limitation will indeed save us from data obesitas (think twice

before selecting your training data) and pattern obesitas (garbage in, garbage out, algorithms will always see

patterns but not necessarily those that are relevant).

PEP Project Receives €760 000 Funding


October 10th, 2016


The PEP project builds on the Polymorphic Encryption and Pseudonymisation technique developed by Bart

Jacobs and Eric Verheul. This technique stores pseudonymised data in encrypted form. Researchers working on the data can only decrypt the parts of the data for which they have access rights.


See for more details.


The collection and analysis of medical data on a big data scale is becoming an essential approach to

understand complicated diseases. In order to gain new insights it is important that international researchers

can cooperate: they will have to access each other’s data and contribute to the data sets. In many cases, such medical research involves privacy sensitive data about patients. Patients should be able to count on

preservation of their privacy and on secure storage of their data. All this should comply with upcoming

European privacy regulations, which are the most stringent in the world.


The PEP project has its own funding from public sources, with a current budget of €1.6M; €760K is funded by the Province of Gelderland, and the remainder by Radboud University. Eventually the software will be made publicly available under an open source license.


Tweemaal het PI.lab in De Correspondent




Onlangs verschenen in de Correspondent twee artikelen over PI.lab onderzoekers: Corien Prins (over de

risico’s van Big Data; Corien is lid van onze bestuursraad) en Bert Jaap Koops (over zijn Vici onderzoek naar een nieuw paradigma voor privacy bescherming).

Interview Mireille Hildebrandt in De Correspondent




Onlangs verscheen een interview in De Correspondent met PI.lab hoogleraar Mireille Hildebrandt, over het belang van transparantie, toezicht en handhaving bij data-analyse toepassingen.