Datathon 2016

We want to congratulate the winners of team CogNac with their winning idea!

To watch the aftermovie click here, for photos click here, or to watch the final results, see below:

1st place: CogNac (Nijmegen)

“Data-driven approach to select protected martime areas”

Slideshow  Presentation  Team Report

2nd place: Incognito (Utrecht)

“Modelling Prey-Predator Relations for Sustainable Fishing”


3rd place: Storm (Amsterdam)

“BLUPP: Gamification Data Collection”

Slideshow Presentation

Via (Amsterdam)

“Showing  fish tax implications on demand: an effort to discourage fishing on specific species”

WebApplication Presentation

Incognito (Maastricht)

“Controlled Environment Sensitivity Analysis”

Slideshow Presentation

What is a datathon?
At a datathon multiple teams consisting out of computer engineers, data scientists and experts from other fields come together to work on a case for 24 hours straight, where the purpose is to study and analyze data related to the case. Methods well known in AI will be used. A datathon is derived from a so-called hackathon, where in this case the focus is more on data rather than on innovation. Although with the upcoming field of big data bigger and more complicated problems can be solved, there is still a lack of real data scientists. Therefor a datathon is thé solution: In a fun and challenging way people are triggered to come up with the best ideas! The team with the most outstanding patterns or the best predictive models will win the datathon!

The goal

The main goal of this datathon is to work on solutions to sustainable fishing.  The six Dutch study associations Artificial Intelligence will provide a team each with six contestants studying for the most wanted job in the future, data scientist. They will be competing against each other to find the most outstanding discoveries from given data sets.

A second goal of the datathon is to raise awareness for the upcoming shortage of data scientists. By organizing events as these the new generation will become familiar with Artificial Intelligence and the importance of its applications. We hope that more people will choose for this field of expertise such that in the future the demand for data scientists will be met.
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