Hintergrundbild © Stuttgart-Marketing GmbH
The Data Science Challenge has finished.
The theme was: How can we avoid car accidents?
For any questions please contact: sdsc17@ipvs.uni-stuttgart.de
Take the opportunity to create your own cloud-based data analysis approach and compete with other contestants. You can present your results during the BTW2017 conference in Stuttgart in front of an expert panel from industry and academia who will choose the best contributions. The winners will be awarded a certificate as well as prize money.
We publish preliminary, exemplary data sources as well as analysis tasks with this challenge announcement. You can use this preliminary data and tasks in order to plan and prepare your approach. You can then apply for the challenge by submitting a two-paged proposal. We will notify the accepted proposals and publish the final challenge data sets and task one month before the BTW2017 conference. These final data sets and task will be similar enough to the preliminary ones so that you can adapt your approach to them. The actual challenge is therefore to adapt, modify, and finalize your approach within one month in order to solve the final challenge task. So it is useful to choose an approach that is flexible and reusable.
The goal of the challenge is to integrate and analyze data sources. The result can be an actionable insight or insightful visualization. Contestants can freely choose the cloud platform and technology they prefer. Your approach may integrate existing tools and services, or create something new. The data for the challenge will be accessible via the cloud platform IBM Bluemix. As a sponsorship, you can use Bluemix, and its analytics services, for free in the context of this challenge. If you're interested in free access to Bluemix, please contact sdsc17@ipvs.uni-stuttgart.de or state so when submitting your proposal.
The Data Science Challenge is open for PhD, masters, as well as bachelor students. Individuals as well as teams may participate. At least one person per team has to register for the BTW in order to present the results during the conference. This registration is free of charge for students participating in the challenge.
Use the following preliminary data sets and tasks in order to prepare your approach and proposal. The final challenge data sets and task will be published one month prior to the BTW2017 conference. The actual challenge is therefore to adapt, modify, and finalize your approach within one month in order to solve the final challenge task. We chose these preliminary data sets and tasks in such a way that you can reuse and adapt your approach to the final challenge data sets and task.
Submit a two-paged proposal (in german or english) explaining your approach and used technologies. State your relevant prior experience in the field.
Use the LNI template for your proposal: See submission page.
Submit your proposals via CMT: https://cmt3.research.microsoft.com/BTW2017 (Data Science Challenge Track)
For any questions please contact: sdsc17@ipvs.uni-stuttgart.de