Data Science Summit 2019

Event Details

Tuesday November 12, 2019 from 9:00 AM to 5:30 PM
Muziekgebouw Frits Philips
Data Science

The Annual Data Science Summit Eindhoven, organized by DSCE, takes place in the Frits Philips Muziekgebouw in Eindhoven on Tuesday November 12, 2019

The goal of the summit is to show our interesting scientific research that is done in close cooperation with and inspired by industry.

We are very pleased to unveil all speakers for this year’s edition. Prof. Tijl De Bie (Ghent University) will give the keynote this year. In the further plenary program, Prof. Volkher Scharnhorst (Catharina Hospital) will kick off the ‘Data Science for Health’ session, followed by Prof. Panos Markopoulos (TU/e - Industrial Design). Prof. Jan Post (Philips Drachten), Prof. Geert-Jan van Houtum and Dr. Alessandro Di Bucchianico (TU/e - Statistics) will do the same for the ‘Data Science for Industry’ part. This year we will end the program with an interactive panel discussion on Responsible Data Science, with interesting and inspiring panel members. This will certainly lead to exciting follow-up discussions during the network drinks after the formal program.

Like last years, there will be sufficient time for discussion and hands-on idea sharing during the poster sessions, where you can learn and discuss interesting examples of Data Science methods and applications with practitioners. The day is aimed at a broad audience: from (research) specialists in the field to applicants and practitioners. We want to inspire and give directions for solving your specific challenges.

Attending the day is free of charge, however we have to charge € 25 for no-shows (to cover costs of drinks, lunch and snacks that are not consumed).

For more information and all abstracts, go to



Day chair: Wouter Duivesteijn (TU/e - DSCE)
09:00Registration & coffee

Robert-Jan Smits

TU/e - President of the Executive Board


Tijl De Bie

University of Ghent

Methods and principles for data exploration
10:55Poster pitchesPhD's / PDs 
11:15Posters, coffee & snacks
11:45Data Science for Health

Volkher Scharnhorst

TU/e, Catharina Hospital

With a little AI from your friends….data turns into information

Panos Markopoulos

TU/e - Industrial Design

What can we learn from play?
12:50Lunch & posters
14:20     Data Science for Industry

Jan Post 

Philips Drachten, RuG

Towards digital twins: Predictive maintenance and model based control in zero defect manufacturing

Geert-Jan van Houtum

TU/e - Maintenance and Reliability

Alessandro Di Bucchianico

TU/e -  Statistics

Insights and challenges from collaboration with industrial partners
15:25Responsible Data Science

Yuan Lu

TU/e - Healthy & active ageing

Vincent Müller

TU/e - Ethics

Mykola Pechenizkiy

TU/e - Data Mining

Linnet Taylor

Tilburg University - Law, Technology & Society

Jack van Wijk

TU/e - Visualization

Interactive panel discussion
16:30Networking drinks & posters

Data Science

Data Science is an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. The successful and responsible application of these methods highly depends on a good understanding of the application domain, taking into account ethics, business models, and human behavior.