Objective ICT-2007.8.4 FET proactive 4: Science of complex systems for socially intelligent ICT

Target Outcome

Key concepts and tools for a data- intensive science of large scale techno-social systems, in which ICT is tightly entangled with human, social and business structures.

• Theoretical and algorithmic foundations for scaleable modelling and simulation of multi-level systems
• Data-driven simulation tools and techniques to cope with huge sets of heterogeneous and often unreliable data
• Prediction and predictability - mathematical and computational methods that help to characterize the nature and impact of transitional, novel properties and self-organising effects that can occur as systems massively scale up

Expected Impact

This research should contribute to a new multidisciplinary understanding of the ways in which ICT changes, moulds and becomes part of the systems to which it is applied, and lead to better targeted deployment of socially intelligent ICT systems. 

• Breakthroughs will lead to deeper understanding and the ability to predict and design for instance new generations of autonomous information- or high-bandwidth communication systems by exploiting models of self-organisation, adaptability and social behaviour.
• Projects should indicate how efficient data gathering, simulation, prediction and control techniques can lead to more human-centric systems, can harness collective intelligence or behaviour, can support businesses and policy makers with best practices that have a clear and definable societal and economic added value or can contribute to solving long-term challenges such as sustainable growth, energy efficiency, or social inclusion.

Funding Schemes and Indicative Budget

• Collaborative Projects (IP only): 19 m€
• Coordination & Support Actions (CA only) : 1 m€