The Responsible Data Science Seminar Series

Responsible Data Science

On 15 September, the Responsible Data Science (RDS) initiative, a joint collaboration of expert researchers from 11 knowledge institutions across the Netherlands, hosts the first seminar in the context of the Responsible Data Science Seminar Series. The  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), and VU University Amsterdam collaborate in RDS.

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. 

Date: Thursday 15 September

Time: 16:00-17:30 

Location: Amsterdam University Library, Singel 425

Room C0.07 – Doelenzaal, Building C, Ground Floor

16:00-16:05 Introduction & Overview on Responsible Data Science

16:05-16:25 Speaker 1: Wil van der Aalst, Professor of Information Systems at the Technische Universiteit Eindhoven (TU/e) on “Responsible Data Science: Ensuring Fairness, Accuracy, Confidentiality, and Transparency (FACT)”. A general introduction and overview on the challenges of Responsible Data Science.

16:25-16:45 Speaker 2: Nicolette de Keizer, Professor of Medical Informatics, Academisch Medisch Centrum (AMC) on “Challenges for Institutional Performance Measures: Responsible Data Science in Health Care”. A discussion on using patient record data to measure and improve quality of care. 

16:45-17:00 Open discussion

17:00 – Networking and drinks

 17:30 – Close

More information and registration can be found at http://www.meetup.com/Amsterdam-Data-Science/events/232636821/.

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