The Cognitive Systems Lab invites you to participate in the tenth Bremen Big Data Challenge. University members and employees of partner companies can solve data analysis tasks until March 31. Winners can look forward to cash prizes, totaling 1,500 euros, and non-cash prizes.
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, employees of partner companies, and University of Bremen alumni. Students can also participate in this category if they wish. The cash prizes for the student track are sponsored by the companies JUST ADD AI, neuland – Büro für Informatik, and Die Sparkasse Bremen. 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 will work with involves bank transactions in a mobile banking scenario. This data has been simulated to follow typical customer interactions, but with a twist – some customers are committing fraud! The task for the participants is to use the data to identify the fraudsters. In developing this year’s task, the Bremen Big Data Challenge (BBDC) team worked closely with Die Sparkasse Bremen to validate the concept. In addition, the BBDC is supported by the high-profile area “Minds, Media, Machines.”
https://bbdc.csl.uni-bremen.de/en
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