You can enter the competition as an individual or as a team of up to three people. Applications can be submitted as of now at https://bbdc.csl.uni-bremen.de/en/. After registration, you will receive this year’s task. Answers must be submitted by March 31. Participants are required to use clever algorithms and analysis methods to find patterns in given data and make predictions on this basis.

The competition is divided into different tracks. Students compete against each other in the student track. They ideally have sound programming skills in any programming language. Previous experience in the field of Big Data is not necessary. Students of the University of Bremen can also earn credit points towards their degree. The professional track is aimed at university staff and employees of sponsors and supporters. Students can also participate in this category if they wish. The companies JUST ADD AI, neuland – Büro für Informatik, and Die Sparkasse Bremen sponsor the cash prizes for the student track. They range from 100 euros (5th place) to 500 euros (1st place). In both tracks, the winning teams will each receive a trophy, places 1 to 5 will be awarded medals, and all participants of the top 30 teams will receive attractive non-cash prizes.

The data that the participants work with are human biosignals, such as data on exercise and the cardiovascular system. They were recorded from visitors to job fairs using mobile sensor technology. The participants will have to use this data to predict emotions and actions of visitors at certain times during their visits to the job fair. In developing this year’s task, the Bremen Big Data Challenge (BBDC) team worked closely with researchers from the human-centered systems lab at the Karlsruhe Institute of Technology. In addition, the BBDC is supported by the high-profile area “Minds, Media, Machines” and the DICE research group (University of Paderborn).

Further Information:

Bremen Big Data Challenge: Bremen Big Data Challenge: https://bbdc.csl.uni-bremen.de/en/
Cognitive Systems Lab: Cognitive Systems Lab: https://www.uni-bremen.de/en/csl
human-centered systems lab: https://h-lab.iism.kit.edu/
Minds, Media, Machines high-profile area: https://minds-media-machines.de/en/homepage
DICE: https://dice-research.org/

Contact:

Yale Hartmann
Cognitive Systems Lab
Faculty Mathematics and Computer Science 
University of Bremen
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