Choose your real world challenge to solve.
The 2018 Open Calls are now closed.
Propose your own challenge making use of at least two datasets in the catalogue from different providers and sectors.
Detect incorrect values in weather observation data in Europe.
Identify behaviour patterns in digital campaigns through searches on the web. Analysing which keywords are used by users and the volume they have, trying to define future impacts.
Identify a set of keywords according of the user search intention. An initial, but not restricted, description can be the following: searching/opinion and reviews/comparison/action/others.
Automatic generation of news agenda according to the correlation in contents, announced events. Monitor announced coverages in our agenda with pictures used by clients to optimize our efforts in the Newsroom and move to a data driven publishing strategy.
Improving the road safety thanks to the analysis and simulation of historical data on accidents and actual data about the road infrastructure.
Optimisation of the traffic flow of vehicles, public transportation and pedestrians in the city of Berlin.
Improve existing levels of security stock and wastage due to excess stock, while improving or at least maintaining current out-of-stock levels.
Improve energy usage in different sites forecasting HVAC consumption, identifying anomalous consumption for corrective and preventive actions and estimating savings when shedding events are applied.
Improving energy efficiency in natural gas consumption by optimising thermal power plant operation, adjusting starts and stops according to plant heat demands.
Obtaining working models of the robot from the new body shop in VW Navarra that allow activities on predictive maintenance of the industrial robots in the body shop.
Automatic detection of anomalies in energy consumptions thanks to the analysis of smart-meters data from final customers.
Predict fraudulent transactions in the cashiers of our stores with the company owned data about our transactions.
Pricing schemes optimisation for Porto area drivers considering the actual movement of drivers among the toll highways and utilisation of parking facilities.