6 million euro available for projects handling Public Open Data through supercomputers

15 Oct 2017 Brussels - One of the calls that is currently open from the Horizon 2020 programma, is "Public Open Data - HPC" closing November 26 with a budget of 6 million euro. It is part of the "Connecting Europe Facility (CEF) Trans-European Telecommunications Networks Work Programme 2017".

A new key challenge that CEF sees in relation to Public Open Data, is the exploitation of large scale cross-border and cross-sector public information datasets using supercomputers (HPC). HPC is one of the key elements of the Commission's communication on the European Cloud Initiative and of the European Data Infrastructure. CEF widens HPC use to the public sector, for example through large-scale pilots involving e-Government and public sector stakeholders.

New generic services exploiting public data and supercomputers are proposed in the 2017 Work programme of Horizon 2020 as a first step to establish a new generation of Dedicated SME instruments (DSIs) supporting the European Union's Digital Single Market priorities on supercomputers.

New generic services to be developed by the projects will address the issue of scalable exploitation of the massive amount of public data available and accessible notably through the European Data Portal. This will be achieved by associating datasets from various public organisations, sectors and countries with the capacity of HPC systems, supercomputers for achieving new generation of cross-border and intelligent services for citizens, enterprises and supporting decision-making for public authorities.

Projects will demonstrate the value of combining public data and supercomputing resource for existing public services e.g. in e-Government, e-Health, e-Justice and/or future e.g. in personalised medicine, smart farming / agri-food, environment, smart cities applications.

Innovative projects can design a new generation of public services exploiting supercomputing facilities and public data to analyse - on-demand - complex combination of large public datasets in relation to e.g. natural resources (e.g. on soil, forest, water, fish stock...), public infrastructures (e.g. congestion levels), atmospheric data, pollution data, agriculture data (e.g. in relation to pesticide or fertilisers) etc. with the overall goal of a better use of public data for citizens, supporting more optimal use of resources for economic actors and helping fact-based decision making for public authorities.

Ad Emmen