Februar 2018, 12th to 16th
Kick-off: Monday, 12.02.2017, 9:00 am
Awards: Friday, 16.02.2017 3:00 pm
InnovationsCentrum Osnabr&uumlck

70 participants (max.)
Students of Cognitive Science, Computer Sciences, Health Sciences and related subjects
Professionals from information technology, medical / health informatics and related subjects

Best team wins 1.500 EUR
Runner-up teams win 3x 500 EUR
Awarded teams will be invited to Berlin and present their ideas at the RKI
Individuals will be granted an internship at the RKI to further develop their idea


Join this year’s cognitive computing hackathon all about health and epidemiology. In the event - jointly organized by the Institute of Cognitive Science, the Robert Koch Institute Berlin and the GesundheitsCampus Osnabrück - you will have the chance to develop innovative solutions with great impact on the fight against epidemiological outbreaks.
Create automated assistants that help epidemiologists to sift through vast amounts of e-mail reports to detect epidemics early. Build intelligent datacrawlers that scour the web for data that allows for timelier prediction of outbreaks and more detailed research into the impact diseases have on society. Use your machine learning skills to compete directly with established statistical methods in epidemiology to forecast the number of cases per disease. Bring your own ideas too, and spend an exciting week with us – awards and prizes for the best projects included!

The Challenges

Pick one of four highly relevant epidemiological challenges to tackle with your team:

Assist the Expert!

Expert in the field of Epidemiology are required to sift through vast amounts of diverse information to assess outbreak risk and make decisions on preventative measures. Develop a tool that makes handling freely written medical reports significantly easier. Find other freely available variables that correlate with outbreaks.

Crawl for more Data!

Outbreaks of epidemic diseases are often influenced by a great number of external factors. Aggregate and visualize data indicative of a disease outbreaks impact on society in its entirety and for specific regions.

Pit Statistical Epidemiology vs. Machine Learning!

Test your machine learning and data science chops against the traditional statistical methods developed for outbreak detection and epidemiology in general.


The best data to analyze and predict infectious disease outbreaks is a per person individual health status attached to a profile that includes relevant personal factors. Try and develop an interactive app that offers new insights for the user and helps gathering anonymized public-health relevant data.


The interdisciplinary Institute of Cognitive Science at Osnabrück University was established in June 2001. Research at the Institute is aimed primarily at questions of higher cognitive functions - on the one hand, as pure research on an interdisciplinary level with an interest in more comprehensive scientific knowledge, i.e. overlapping the traditional disciplines. At the same time, however, our research is aimed at creating technologies innovatively and competently, which can serve a modern information society.

The Robert Koch Institute (RKI) is Germany’s public health institute. The mission is to protect and improve the health of the population. To this end, 1,100 individuals from 90 different occupational fields work and conduct research together at RKI every day. RKI investigates disease and health on all levels: from viruses in human cells to obesity in the population. RKI’s scientists collect data on non-communicable diseases like diabetes and cancer, on infectious diseases and (new) biological dangers. On this basis, policy recommendations and preventive strategies are developed.

The GesundheitsCampus Osnabrück is a joint initiative of Osnabrück University of Applied Sciences and Osnabrück University. Together with local partners from health economy, politics, and society it forms a platform for the exchange of science and practice to drive innovations and reshape the local healthcare system.


Here's the programme for our Hackathon week. You can also download the calendar (.ics) to your local device. Please note: you do not have to be present all week, but presence on Monday and Friday is required.
As a participant, please also join our slack workspace to collaborate and stay updated.