European Project

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he Humane AI Flagship will develop the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution.

1 March 2019
29 February, 2020

A European AI On Demand Platform and Ecosystem


AI4EU is the European Union’s landmark Artificial Intelligence project, which seeks to develop a European AI ecosystem, bringing together the knowledge, algorithms, tools and resources available and making it a compelling solution for users. Involving 80 partners, covering 21 countries, the €20m project kicked off in January 2019 and will run for three years. AI4EU will unify Europe’s Artificial Intelligence community. It will facilitate collective work in AI research, innovation and business in Europe.

1 January 2019
31 December, 2021

PROmoting integrity in the use of RESearch results


PRO-RES project aims to produce a guidance framework regarding the delivery of Responsible Research and Innovation (RRI), which is required from researchers and research funding and performing organizations (RFPO), in order to balance political, institutional and professional contradictions and constraints.
This framework aims to:
• cover the spectrum of non-medical sciences and
• offer practical solutions for all stakeholders, that will comply with the highest standards of research ethics and integrity.

1 May 2018
30 April, 2021

Track and Know

Track&Know will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors.
1 January 2018
31 December, 2020

SoBigData: Social Mining and Big Data Ecosystem

One of the most pressing and fascinating challenges scientists face today, is understanding the complexity of our globally interconnected society. The big data arising from the digital breadcrumbs of human activities promise to let us scrutinize the ground truth of individual and collective behaviour at an unprecedented detail and scale. There is an urgent need to harness these opportunities for scientific advancement and for the social good.
15 June 2015
30 May, 2019

Inductive Constraint Programming

In industry, society and science advanced software is used for solving planning, scheduling and resource allocation problems, collectively known as constraint satisfaction or optimization problems. At the same time, one continuously gathers vast amounts of data about these problems. This project starts from the observation that current software typically does not exploit such data to update schedules, resources and plans. It aims at developing a new approach in which gathered data is analysed systematically in order to dynamically revise and adapt constraints and optimization criteria.
1 January 2012
30 June, 2015

Bringing Citizens, Models and Data together in Participatory, Interactive SociaL Exploratories


We propose visionary research to develop modeling, computational, and ICT tools needed to predict and influence disease spread and other contagion phenomena in complex social systems. To achieve non-incremental advances we will combine large scale, realistic, data-driven models with participatory data-collection and advanced methods for Big Data analysis. In particular we will go beyond the one-dimensional focus of current approaches tackling one aspect of the problem at a time. We will interconnect contagion progression (e.g.

1 January 2015
31 December, 2017

Trusted Data Management with Service Ecosystem


EIT ICT Labs' Trusted Cloud initiative is an ambitious approach to find a European solution to store digital data and contents, so that consumers and businesses in Europe do not have to worry on where and by whom their valuable digital age assets are handled. With EIT ICT Labs support the partners will gain European wide coverage to create an ecosystem that really matters in creating new business opportunities around trusted cloud services.

1 September 2014
31 December, 2015

Personal Transport Advisor: an integrated platform of mobility patterns for Smart Cities to enable demand-adaptive transportation system


The aim of this project is to develop a service platform that connects the providers and controllers of transport in cities with the travellers in a way that information flows are optimized while respecting and supporting the individual freedom safety and security of the traveller. Cities will get an integrated platform to enable the provision of citizen-centric, demand-adaptive city-wide transportation services. Travellers will get mobile applications that facilitate them in making travel priorities and choices for route and modality.

1 February 2014
31 January, 2017

Orange “Data for Development”

D4D - is an open data challenge, encouraging research teams around the world to use datasets of anonymous call patterns to help address society development questions in novel ways. The data sets are based on anonymized Call Detail Records extracted from Orange’s customer base. The goal of the D4D challenge, in line with our Group’s Orange for Development initiative, is to contribute to the socio-economic development and well-being of populations.
1 January 2012
1 May, 2013