BDTI pilots (9)
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The pilot will leverage advanced time-series analysis on accident data to find dangerous roads or intersections in Arezzo municipality’s urban planning and outline correlations between accidents, weather, and street conditions.
The Napoli pilot will test advanced analytics on data related to Public Space (parks, street areas, other) and mobility-related data to build decision support systems for evaluating potential future use of public space.
A collaborative pilot involving the City of Turku and the University of Turku analysing mobility efficiency and public transportation using BDTI's free sandbox of tools.
An open-source Machine Learning model for predicting tree health from resistivity readings.
Greece's National Infrastructures for Research and Technology (GRNET), a leading public sector technology research institute, and University of Macedonia (UoM), renowned for its expertise in eGovernment research, are partnering with a shared goal.
Providing a scalable virtual environment and analytics routines to work on procurement data and support the creation of the eProcurement data space.
The European Blood Alliance worked together with the European Commission (DG SANTE) to create and manage an EU-wide open-access platform that collects data to support a study on Covid-19 convalescent plasma therapy.
Use predictive, descriptive and time-series analysis to mitigate the risks of easing lockdown measures by helping avoid overcrowding and identifying high-risk spaces in the city.
A tool to analyse and synthesise the huge quantity of existing scientific evidence and regulation documentation on COVID-19.