The 2021 hackathon will be held the 1-3rd of March
Since the creation of the program in 2015, one of our key classes in SDD has
been the end-of-year Hackathon. Industrial and academic partners present
real-world, challengening Data Science problems for the SDD students. Students
work in teams and rush to an innovative solution in a 72 hours intensive sprint.
The Hackathon’s topics are issued from partners: either research labs (public or
private) or engineering teams in companies. All data and topics can be covered
by confidentiality agreements (although we clearly prefer shareable data).
Occasionally, we welcome a external students for the Hackathon.
- 2020 with Airbus Defense and Space, CapGemini, Dassault Aviation, and ISAE-Supaero
5 topics: semi-supervised space imaging, sailing regatta prediction, sports analytics, image inpainting, and airplane temperature modelling.
- 2019 with IRT Saint Exupéry, Air France, Airbus, CapGemini, and Dassault Aviation
Multiple topics including predictive maintenance and space imaging
- 2018 with IRT Saint Exupéry and Air France
Two topics: land cover classification and predictive maintenance
- 2017 with IRT Saint Exupéry
Single topic: land cover classification
- 2016 with IRT Saint Exupéry
Two topics: cloud segmentation and oil detection in satellite images
Interested partners for the SDD hackathon should contact us:
Dennis Wilson (webpage, email)