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FET – Proactive Future and Emerging Technologies
Science of Complex Systems for
Socially Intelligent ICT ICT-2007.8.4
F1: FET – Proactive [email protected]
Call 3: FP7-ICT-2007-3
FP7 FET Proactive Initiatives WP 2007-2008
FET Proactive (Call 1) – Closed 8 May 2007
• Nano-scale ICT devices and systems
• Pervasive Adaptation
• Bio-ICT Convergence
FET Proactive (Call 3) – Closing 8 April 2008
• Science of complex systems for socially intelligent ICT
• Embodied Intelligence
• ICT Forever Yours
FET Proactive (Call 4, tentative) – Closing spring 2009 (tbc)
• Massive ICT Systems
• Human-Computer Confluence
• QIPC and other quantum technologies
Future & Emerging Technologies – FETA continuing well established successful IST scheme
An incubator and pathfinder for new ideas and themes for long-term, foundational and multi-disciplinary research in the area of
information and communication technologies
High risk research, offset by potential breakthrough with high technological and/or societal impact
Two complementary inter-linked schemes FET Proactive + FET Open
FET Proactive• Top-down approach• Set of novel pre-defined themes• Pathfinder for related communities & themes
FET Open• Bottom-up approach• Open to any research idea• Incubator for new communities & themes
Coordination Action
Proactive Initiative
Integrated Project
STREP
STREP
STREP
STREPIntegrated
Project
• Pathfinder of new concepts, paradigms, disciplines,
• Promising a breakthrough• Foundational, visionary, high-risk• New interaction of existing disciplines• Integration of activities in
a mini-research programme• A set of projects & non-research
initiatives• In FP6: Integrated Projects• FP7 Call 1: IP + STREP• FP7 future calls: more Flexibility• Typically: EC funding 10-30 M€
3-10 projects
National ProgrammesInt’l Cooperation
Mainstream ICTEducation
Science of Complex Systems for Socially Intelligent ICT
Origins
– FP6 FET PI: 'Simulating Emergent properties of Complex Systems'
– ‘ONE-CS’ CA• Complexity research living roadmap
Science of Complex Systems for
Socially Intelligent ICT The rationale
• Today’s ICT systems facilitate, enable and transform human relations forming “techno-social communities”:– large-scale systems involving distributed cooperation and
coordination between both ICT and human elements.– systems in which ICT is tightly entangled with individual, social
and business structures – mutually transform each other for instance through evolution of
acceptance, trust, innovative uses and technology changes.
• We do not understand these techno-social networks and their webs of cause/effect.
• How do we engineer them to achieve socially beneficial and intelligent outcomes?
The Science of Complex Systems offers solutions!
Science of Complex Systems for Socially Intelligent ICT
Research Objectives
• Key concepts and tools for a data-intensive science of large scale techno-social systems,
• systematic means to model, predict and characterise the behaviour, dynamics and evolution of these systems
• Demonstration of the use of this understanding in novel paradigms and designs for socially intelligent ICT.
Science of Complex Systems for
Socially Intelligent ICT Research foci
‘Projects will integrate the following topics:– Theoretical and algorithmic foundations– Data-driven simulation– Prediction and predictability’
Science of Complex Systems for
Socially Intelligent ICT Research focus 1
Theoretical and algorithmic foundations for scaleable modelling and simulation of techno-social systems at different levels.– technological, psychological and social dimensions– realistic diversity of behaviours– knowledge on how humans and technologies relate
to and impact on each other (e.g. acceptance, use, trust).
Science of Complex Systems for
Socially Intelligent ICT Research focus 2
Data-driven simulation • tools and techniques able to cope with huge sets of
heterogeneous and often unreliable data to efficiently reconstruct dynamic techno-social system models at multiple levels.
• This includes:– data-rich probing technologies, – protocols and experiments to gain realistic data on
techno-social systems,– knowledge extraction based on scaleable and
distributed methods.
Science of Complex Systems for
Socially Intelligent ICT Research focus 3
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.
Science of Complex Systems for
Socially Intelligent ICT Coordination Action
Coordination Action(s)• Consolidation of research communities• Visibility• Research agendas• National/regional research programmes or
activities• International cooperation• …
Science of Complex Systems for Socially Intelligent ICT
Expected impact
• multidisciplinary understanding of the ways in which ICT becomes part of the systems to which it is applied, and leads to better targeted deployment of these systems.
• ability to predict and design new autonomous information/communication systems
– by exploiting models of self-organisation, adaptability and social behaviour.
– e.g. massive service economies and other technology-dependent experimental economic models, ICT mediated communities, P2P systems, emergency management and disaster relief systems.
• support businesses and policy makers with best practices – with a clear and definable societal and economic added value – can contribute to solving long-term challenges such as sustainable
growth, energy efficiency, or social inclusion.
Science of Complex Systems for
Socially Intelligent ICT Budget and funding schemes
20 M€– CP (IP only) 19M€
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0-5 6-10 11-15 16-20 21-25 26-30 >30
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0-5 6-10 11-15 16-20 21-25 26-30 >30
Number of Partners
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<4 4-5 5-6 6-7 7-8 8-9 9-10 >10EC Funding (M€)
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<4 4-5 5-6 6-7 7-8 8-9 9-10 >10EC Funding (M€)
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– CSA (CA only) 1M€
Science of Complex Systems for
Socially Intelligent ICT Further information
Cordis: COSI-ICT Proactivehttp://cordis.europa.eu/fp7/ict/fet-proactive/cosiict_en.html
– Position paper, FET workshop in Dresden, Oct07. ftp://ftp.cordis.europa.eu/pub/fp7/ict/docs/fet-proactive/cosiict-ws-oct07-02_en.pdf
FET info day: 24/01/08 – Brusselshttp://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html
FET Proactive Call 3Info day
MORNING: PLENARY SESSION (Room Bu25)• 08:30 - Registration • 09:00 – Opening FET Proactive• 09:20 – FET Proactive Call 3• 09:35 – FP7 Proposals and Projects• 10:00 - Opportunities for International Cooperation with China (tbc)• 10:15 - Opportunities for International Cooperation with India (tbc)• 10:30 - Coffee • 11:00 - FP6 FET Experience – STREP, IP, CA • 12:00 – Lunch AFTERNOON: PARALLEL SESSIONS • Science of Complex Systems for socially intelligent ICT• Embodied Intelligence • ICT forever yours • 13:00 - Welcome and Overview of the Initiative • 13:20 - Talks by invited speakers• 14:05 - Q + A discussion • 14:30 - Proposers' Forum - short (1-2 min, 2 slides) presentations by participants
on research/proposals • 17:30 - End of meeting
24 January 2008, av. Beaulieu 25, Brussels http://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html
Science of Complex Systems for
Socially Intelligent ICT Further information
Cordis: COSI-ICT Proactivehttp://cordis.europa.eu/fp7/ict/fet-proactive/cosiict_en.html
– Position paper, FET workshop in Dresden, Oct07. ftp://ftp.cordis.europa.eu/pub/fp7/ict/docs/fet-proactive/cosiict-ws-oct07-02_en.pdf
FET info day: 24/01/08 – Brusselshttp://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html
Contact: [email protected] [email protected] [email protected]
