On 17 November, we will hold the third event of our monthly seminar series on Responsible Data Science (RDS), a joint collaboration of expert researchers from 11 knowledge institutions across the Netherlands:  Academisch Medisch Centrum (AMC), Centrum Wiskunde en Informatica (CWI), Delft University of Technology (TUD), Eindhoven University of Technology (TU/e), Leiden University (LU), Leiden University Medical Center (LUMC), Radboud University Nijmegen (RU), Tilburg University (UvT), University of Amsterdam (UvA), VU Medical Center Amsterdam (VUmc), VU University Amsterdam.
The RDS initiative is driven by the omnipresence of data making society increasingly dependent on data science. Despite its great potential, there are also many concerns on irresponsible data use. Unfair or biased conclusions, disclosure of private information, and non-transparent data use, may inhibit future data science applications.
 

16:00-16:05

Introduction & Overview on Responsible Data Science, Wil van der Aalst, Professor of Information Systems at the Technische Universiteit Eindhoven (TU/e)

16:05-16:25

Speaker 1: Natali Helberger, Professor in Information Law at the Institute for Information Law, UvA on “Legal challenges of doing responsible data research, and what to expect from the new Data Protection Regulation”. In my presentation I will briefly outline some concrete legal challenges of doing research into the social implications of algorithms, based on experiences from the Personalised Communications Project. I will then discuss what researchers can expect from the new General Data Protection Regulation (which will be the new data protection law for Europe as of 2018), and here in particular its research exception. Finally, I will point to some remaining problems, including new trade secret regulations and the terms of use of certain websites, and make a plead for a broader research exception. 

16:25-16:45

Speaker 2: Piek Vossen, Professor Computational Lexicology at the Faculty of Arts, Department Language, Literature and Communication, VU Amsterdam on “Dynamic modelling of provenance and perspectives of data”. In my presentation I will present our model for source perspectives on knowledge and information that we apply in the QuPiD2 project. Quality and Perspectives in Deep Data entails three interdisciplinary projects, embedded in the Humanities and Computer Science research groups of VU and UvA (Representation of Data Perspectives, Representation of Data Quality, From Text to Deep Data). 

16:45-17:00

Open discussion

17:00

Networking and drinks

17:30

Close