FP7: FET Proactive Intiative: Science of Complex Systems for Socially Intelligent ICT (COSI-ICT)



Objective ICT-2007.8.4: FET proactive 4: Science of complex systems for socially intelligent ICT (Extract from Work programme text)

Target outcome:

Key concepts and tools for a data-intensive science of large scale techno-social systems, i.e., systems in which ICT is tightly entangled with human, social and business structures which, as a result, mutually transform each other for instance through evolution of acceptance, trust, innovative uses and technology changes. Projects will develop systematic means to gain knowledge on such systems and to model, predict and characterise their behaviour, their dynamics and evolution. They will demonstrate the use of this understanding in novel paradigms and designs for socially intelligent ICT. Projects will integrate the following topics:

  • Theoretical and algorithmic foundations for scaleable modelling and simulation of such multi-level systems, taking into account the relevant technological, psychological and social dimensions and with realistic diversity of behaviours, social and spatial structures and knowledge on how humans and technologies relate to and impact on each other (e.g., acceptance, use, trust).
  • Data-driven simulation , tools and techniques able to cope with huge sets of heterogeneous and often unreliable data to efficiently reconstruct dynamic system models at multiple levels. This includes data-rich probing technologies, protocols and experiments to gain realistic data on techno-social systems, and knowledge extraction based on scaleable and distributed methods.
  • Prediction and predictability : mathematical and computational methods that help to characterize the nature and impact of transitions, novel properties and self-organising effects that can occur as systems massively scale up. . Understanding the limits of predictability will allow reliable, quantitatively accurate predictions leading to strategies for better guided ICT induced transformation or for keeping systems in their viability domain.

Coordination actions (CAs) should support the consolidation of research communities, their visibility, the coordination of research agendas, the coordination of national or regional research programmes or activities. The initiative also encourages international cooperation in foundational research on topics described above.

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. Applications include e.g., massive service economies and other technology-dependent experimental economic models, ICT mediated communities, P2P systems, emergency management and disaster relief systems. 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.


Background documents

Science of complex systems for socially intelligent ICT ( 127KB)





  • Call launched 4 December 2007
  • Start of projects : Dec 2008 - Jan-Febr 2009