Data Science Hackathon at UMC Utrecht

Universitair Medisch Centrum Utrecht, Utrecht
Nov 12th 2015
See the website



What is this event?  This will be a one afternoon Data Science hackathon where participants have the opportunity to work on unique healthcare datasets and to have real impact in finding ways to improve health care. This event is open to anyone interested in Data Science and machine learning, text mining, visualisation, data intensive programming and general hacking.

UMC Utrecht will make available a unique set of patient data, combined with data from external sources (think of CBS Data (Statistics Netherlands), KNMI (weather data), Geo Health (environmental data), City of Utrecht)

For who is this?  Everybody experienced in Data Science (machine learning, datamining, textmining), visualisation and/or data engineering is welcome to join. Note that you are expected to be able to load up the data yourself during the event. Due to the uniqueness of the datasets made available by the UMC Utrecht, only a limited amount of seats is available, so be quick! 

You will especially enjoy the afternoon if: 

You like machine learning, to think about and apply models to data; 

You like to program to reach your goal and still be able to collaborate in a team; 

You like to use visualisation to communicate the results. 

Background  One year ago, the Dutch 'Doorbraakproject Big Data' (breakthrough project) came in contact with the psychiatry unit of the Universitair Medisch Centrum Utrecht (UMC Utrecht). After some joint sessions, thanks to the enthusiasm of the participants, a collaborative effort with GoDataDriven started. This has resulted in a first successful 'Data Science Open Kitchen', in May 2015. This provided interesting insights that were beneficial to the Psychiatry department. At the moment there is more data available and it’s already pre-analysed, giving opportunities for an even more challenging event. That’s why we invite participants for a Hackathon on a greater scale to help us to make an impact on the way Data Science can help to improve health care.  


After a brief opening by Ms. F. Scheepers (psychiatrist, head of UMC Utrecht psychiatry unit and initiator of this project)  you'll quickly get to work. Finally the results will be presented to the management team of the psychiatry unit and everyone else that is interested. 

  12:00 (Facultative) tour of the Psychiatry department  13:00 Introduction  13:10 Start Hackathon and group formation  13:30 Start in groups  18:00 Plenary wrap-up to the UMCU board  19:00 End 

About the organisers  This event is a collaboration between UMC Utrecht and GoDataDriven. 

UMC Utrecht 

Thanks to the multi-disciplines nature of health care data, a diverse team working together is the ideal situation to show how Data Science can have a direct impact on the lives of many patients. Strategies and output of such an open kitchen can therefore be directly applicable to improve the job or treatment of nurses, patients and doctors.The first event showed a very committed and enthusiastic staff and als during this new event, domain experts and management  of the psychiatry unit will be present during the day. 


GoDataDriven  A passionate team of data scientist and software engineers. By combining these disciplines with large scale, open source information platforms we create Data Science solutions at various customers such as;, KPN, TomTom, and ING. Besides that we are: 

Founder and co-organiser of NoSQL NL, the first and official Dutch NoSQL user group 

Co-founder and co-organiser of NL-HUG, the official Dutch Hadoop User group 

Co-organiser of Graph Database Amsterdam 

Co-founder and co-organiser of The Amsterdam Applied Machine Learning Meetup Group 

Co-organiser of DataMission, the first Dutch initiative for doing good with Data Science skills. 


What are the transport / parking for the event?  Cars can be parked in the car park of the University Medical Center Utrecht. 

What can I do / not bring to the event?  Power and Internet connections are regulated sufficiently. A personal laptop with your own development stack could help to solve interesting problems using big data-applications. 

Where can I reach the organizer if I have questions? 

Contact Walter van der Scheer at 

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