Loading Events

« All Events

  • This event has passed.

Responsible Data Science Seminar Series – Event 10

October 19, 2017 @ 4:00 pm - 6:00 pm

On 19 October, 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
Introduction & Overview on Responsible Data Science: Maarten de Rijke Professor in Information Retrieval, Informatics Institute, UvA.
16:05-16:25
Speaker 1: Martijn van Otterlo AAA Data Science Researcher at Knowledge, Information and Innovation (KIN), Faculty of Economics and Business Administration (FEWEB), Amsterdam Center for Business Analytics (ACBA), VU.
16:25-16:45
Speaker 2: Judith Möller Political Communication & Journalism, Faculty of Social and Behavioural Sciences, UvA.
16:45-17:15
Speaker 3: Mykola Pechenizkiy Full Professor, Chair Data Mining, Department of Computer Science, Eindhoven University of Technology (TU/e), on FAT Predictive Analytics
17:15-17:20
Wrap-up
17:20
Networking and drinks
18:00
Close

Details

Date:
October 19, 2017
Time:
4:00 pm - 6:00 pm
Event Category:
Website:
https://www.meetup.com/Amsterdam-Data-Science/events/242027453/

Venue

VU Amsterdam W&N Building – Faculty of Sciences – (1st Floor): Room C147
De Boeleaan 1105
Amsterdam, 1081 HV Netherlands
+ Google Map