On 15 June, we will hold 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 by Frank van Harmelen, Professor in Knowledge Representation & Reasoning, Department of Computer Science, VU

16:05-16:30

Speaker 1: Maarten de Rijke, Professor in Information Retrieval, Informatics Institute (UvA) on Explainable Search Engines

16:30-16:55

Speaker 2: Piet J.H. Daas, Senior methodologist, Research coordinator Big Data & lead Data Scientist at the Center for Big Data Statistics on Responsible Data Science at Statistics Netherlands: implications for big data research?
The mission of Statistics Netherlands (in Dutch: “Centraal Bureau voor de Statistiek”) is to publish reliable and consistent statistical information. At the office we are used to working with privacy sensitive data, have to be transparent and want to produce the best estimates possible. In that sense, this should also apply to big data based statistics. In the presentation the standard way of working, the implications for the big data research performed and examples of our work will be discussed.

16:55-17:00

Wrap-up

17:00 –

Networking and drinks

17:30 –

Close