Boulogne-sur-Mer
A digital tool
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Un outil numérique
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Un outil numérique
All challenges
Here is the list of challenges in every city.
By clicking on the « search » button, you can filter the challenges according to your preferences.
24 Result(s) found
In practice, it would be interesting to have a list of ideas and concrete actions that could be implemented with the aim of considerably reducing GHG emissions linked to maritime traffic over which
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The aim of the project is to represent in a Virtual Reality helmet the risks of marine submersion in a real environment, certainly a commune in the north of Finistère. The objective is to go further
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A demonstrator in the form of an algorithm
A graphic outline of what this drone design could be
Using standard LCA software such OpenLCA, and our custom database and visualization approaches, we will develop an interactive web-based visualization of the wind farm construction life cycle
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San Fernando - Cádiz
Design a product: a business plan.
The objective of Soso Care’s Hackathon challenge is to use the available demographics and plastic data in Nigeria to optimise locations of waste management centres so that they are situated in areas
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Champs-sur-Marne
Participants are expected to restitute the scientific problematic, to develop visualization tools adapted to its understanding and calculation of simple parameters showing the link between the
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Champs-sur-Marne
A dataset of speed wind over a specific area (to be defined) and corresponding maps (though a web app or desktop map) where wind speeds are important.
Champs-sur-Marne
A game
Understand what is possible to do and how do you respect the environment to take safely the sea water.
A mobile app together with a real time link to a display panel
A computational code that, making use of artificial intelligence, has the ability to receive satellite images of the water surface, and from them, determine the energy use potential of the
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A mobile phone application.
A localized predictive model (NF / FJ) for PoC of the targeted global solution
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un modèle prédictif localisé (NF/FJ) pour PoC de la solution globale visée
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un modèle prédictif localisé (NF/FJ) pour PoC de la solution globale visée
San Francisco
The challenge is to create an audio-visual experience that generates awareness of the significant problem of noise pollution in the ocean.
San Francisco
The challenge is to develop an algorithm and train deep learning models to downscale oceanographic data from numerical simulations. The overall goal is to then be able to use this algorithm with
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The Challenge is to develop a model in order to discover and define the ways of integrating the data based on general environmental regulations, including Marine Spatial Planning (MSP) and ocean
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In this challenge, you will train a deep learning model to classify different blue carbon ecosystem classes from NASA satellite data and enable more detailed global maps of the extent of blue carbon
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San Francisco
The challenge is to design a sensor array system for trawl-nets to log and report on the oceanographic conditions in the water column so that we would be able to determine and predict timely, and
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The architecture of a database and an algorithm will be developed to link the different monitored variables (linear and non-linear models) in order to predict the behaviour of the grey-headed
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Santiago
A machine learning system with its hardware
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Un sistema de machine learning con su hardware
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Un sistema de machine learning con su hardware
During the 48h hackathon, we propose to develop an interactive tool drawing up different maps of the impact of coastal marine pollution on the marine life thanks to data coming from regular in vitro
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