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Workshop “Data-driven solutions for containing the spreading of COVID-19”

Feb 12, 14:00 - 16:00


The aim of this workshop is to bring together researchers and companies in the Netherlands interested in or already working on data-driven solutions for reducing the spread of COVID-19.




We are a consortium of four universities (TU Eindhoven, UMC Leiden, University of Utrecht, University of Twente) and two data science companies (Mezuro, Ilionx) that aims to develop a predictive dashboard for local corona outbreaks, funded by ZonMw grant 10430 03291 001 `Mobility and behavior-based early-warning system after the first wave of COVID-19’

On behalf of the consortium:
Nelly Litvak
Martijn Schoot Uiterkamp

Why this workshop?

From the very start of the outbreak of COVID-19, many researchers and companies in the Netherlands took initiative to offer solutions and tools for combatting the crisis.  With this workshop we want to provide a platform for all interested parties in order to promote, consolidate and boost Dutch developments in the area of monitoring and reducing the spread of COVID-19.

How to participate/present?

Please let us know as soon as possible if you wish to attend the workshop and if you would like to give a (short) presentation. You can do so by sending an e-mail to Martijn Schoot Uiterkamp (m.h.h.schoot.uiterkamp@tue.nl).  If you want to give a presentation, please also include the title and a  short summary of your talk. Approximately two weeks before the event, we will send all participants the organizational details, schedule, and video conference link of the workshop.


How to extend the invitation to other parties?

If you know of other parties that might be interested in participating, please let us know, we will be happy to extend this invitation to them.

Please contact us if you have any questions, remarks, or suggestions regarding the workshop.

We are looking forward to hearing from you and hope that together we can make this a productive and inspiring event!



Feb 12
14:00 - 16:00
Event Category: