1. ICT Call 3 Stephen O’Reilly - ICT National Contact Point

2. Overview  Framework Programme 7  ICT Work Programme  Challenges  Objectives  Calls for proposals  ICT Call 3

3. Framework Programme 7: 2007-2013  European Commission's instrument for supporting R&D  Budget is over €50 Billion  Covers Four Specific Research Programmes  Cooperation (€32.202 Billion);  Ideas (€7.460 Billion);  People (€4.577 Billion);  Capacities (€4.193 Billion)

4. Routes Into FP7

5. ICT Work Programme

6. ICT Work Programme approach and structure  A limited set of Challenges that  respond to well-identified industry and technology needs and/or  target specific socio-economic goals  A Challenge is addressed through a limited set of Objectives that form the basis of Calls for Proposals  An Objective is described in terms of  target outcome - in terms of characteristics  expected impact - in terms of industrial competitiveness, societal goal, technology progress

7. ICT Work Programme Challenges Future and Emerging Technologies (FET) 2. Cognitive systems, interaction, robotics 1. Network and service infrastructures 3. Components, systems, engineering 4. Digital libraries and content 5. ICT for health 6. ICT for mobility & sustainable growth 7. ICT for independent living and inclusion Socio-economic goals Industry/Tech needs

8. Funding Schemes 3 funding schemes – 5 “instruments” Collaborative Projects (CP)*  Large Scale Integrating Projects (“IP”)  Small or medium scale focused research actions (“STREP”) Networks of Excellence (NoE) Coordination and Support Actions (CSA)  Coordinating or networking actions (“CA”)  Support Actions (“SA”) ICT Workprogramme – 2007/08:  budget pre-allocation to instruments !

9. Budget split per objective For each Work Programme objective:  A reserved amount for CSAs  support activities won’t need to compete against research projects for funding  A reserved amount for NoE  won’t fund multiple NoEs to compete with each other  Remaining (main) part of budget committed to Collaborative Projects  minimum percent Integrating Projects, minimum percent Focused Research Actions, the remainder distributed by quality of the proposals

10. ICT Call 3

11.  ICT-2007.2.2 Cognitive systems, interaction, robotics  ICT-2007.4.3 Digital libraries and technology-enhanced learning  ICT-2007.4.4 Intelligent content and semantics  ICT-2007.8.4 Science of complex systems for socially intelligent ICT  ICT-2007.8.5 Embodied intelligence  ICT-2007.8.6 ICT forever yours  ICT-2007.9.2 International cooperation  Date of Publication: 4 December 2007  Closure date: 8 April 2008 at 17:00, Brussels local time  Indicative budget: 265 M€

12. ICT-2007.2.2 Cognitive systems, interaction, robotics

13. FP7 - ICT Call 1 (2007) results  185 proposals, €680m asked for €96m available [144 STREPs, 36 IPs, 5 NoE]  1432 proposers from 43 countries  63 proposals passed evaluation [56 STREPs, 6 IPs, 1 NoE]  26 projects retained: [19 STREPs, 6 IPs, 1 NoE]  Lowest scoring “retained” projects  STREP – 12, IP – 11, NoE - 13

14. Target a (IPs, STREPs) 3 areas: focus on one Robots handling different objects and operating autonomously or in cooperation with people Systems (robotic, sensor networks etc) monitoring and controlling material or informational processes Multimodal interfaces and interpersonal communication systems, understanding language, gestures

15. Robots …… in real world settings  less-constrained environments can be too nuanced, too complicated and too unpredictable to be summarised within a limited set of specifications  there will inevitably be novel situations and the system will have gaps, conflicts or ambiguities in its own knowledge and capabilities

16. robots handling different objects and operating autonomously or in cooperation with people may call for manipulation & grasping, navigation, locomotion, obstacle avoidance, interaction with humans,…

17. Monitoring and controlling…eg using computer vision traffic monitoring other applications intelligent surveillance, biometric recognition, exploration, data-gathering manufacturing, robotics,…

18. robots or other systems monitoring & controlling material or informational processes May call for: detection, recognition, classification …. of objects, events or processes,…

19. Multimodal Interfaces … eg in speech recognition improvements have come from increases in computing power  the majority of mobile phones have voice dialling  software for dictating documents on your PC is available in most computer stores  Interactive Voice Response (IVR) systems are becoming commonplace for handling telephone enquiries … technology is fragile in ‘real’ conditions From Roger K. Moore From Roger K. Moore Spoken Language Processing for Artificial Cognitive Systems, IST 2006

20. multimodal interfaces &/or interpersonal communication systems understanding language, gestures, etc may call for a deep understanding of human physical & cognitive capabilities, communication needs & contextual constraints,…

21. A key question How should systems pertaining to these areas be designed and built How should systems pertaining to these areas be designed and built so that they are more robust, flexible, effective, natural and where necessary or desirable, safer and more autonomous than what is possible today? what it means to be robust, flexible but,… how can we specify what it means to be robust, flexible, etc?

22. Addressing the key question projects can take the approach of their choice  while providing valid and viable answers to the previous key question, projects can take the approach of their choice, and draw on those scientific and engineering disciplines that are needed to achieve the its goals. criteria for benchmarking system properties  projects are requested to contribute to the development of criteria for benchmarking system properties such as robustness, scalability and adaptability, make them public and compare with others integration of complete systems don’t forget the emphasis, in particular in robotics, is on integration of complete systems

23. Project outcome develop know-how needed to create new productscannot be built given our current know-how  projects are expected to develop know-how needed to create new products and to build systems that are desirable but cannot be built given our current know-how scientific and technological advance  emphasis is scientific and technological advance – not application development!!; research questions  role of applications is to provide research questions and to demonstrate the impact of conceptual or technical innovation.

24. Challenges for research how rethinking  a key issue is how systems should work – greatly improving robustness etc. requires rethinking the way systems are engineered  theories  theories are needed - systems theories, software architectures, control theories, modelling theories, etc - that will allow us to build these types of systems advancing scientific understandingnatural and artificial  engineering progress will depend on advancing scientific understanding of what both natural and artificial systems can and cannot do, and how and why  integration of disciplines  integration of disciplines: robotics, artificial intelligence, computer vision, natural language, cognitive science, psychology,… mathematics,… philosophy

25. Network of excellence (NoE) - programmes of joint research & resource sharing which contribute to reinforcing & sustaining scientific excellence. Robotics: experimentation with industry strength platforms, benchmarking Cognitive Systems: integration of diverse research area, understanding of requirements for specific applications Language based communication and interaction: new approaches; understanding of capabilities required of technical systems NoE on Machine learning funded in Call 1!!! - will have calls for Expressions of Interest Target b (NoEs)

26. Target c (CSAs)  Increased cooperation and coordination between EU Member States covering domain that contribute to overall goals of Challenge 2.

27. Some myths  European level  European level – does not mean having a spread of partners from countries all over Europe. It means cross-border collaboration that promises to achieve more than could have been achieved within one single Member State  Industrial participation  Industrial participation - is not a requirement. It is an option SMEs  Presence of one or more SMEs - is not to be taken as a must or as a de facto plus point. SMEs are treated just as any other partner in a consortium in terms of having a necessary competence, a reputation and a clearly defined role  Projects - incl. IPs - need not assemble large numbers of partners. Projects should only include those partners needed to achieve the goals and no more.

28. More myths  Management by a professional consultancy – is not to be taken for granted. It must offer a proven added-value.  We are not looking for ideas for new applications systems or products. Advances should be related to the engineering goals of Challenge 2 – not to health, security, ambient intelligence,….(those such domains can provide useful demonstration scenarios)  We are not looking for ‘contributions’ to any policy except research policy. And the part of research policy in question is Challenge 2 - not enlargement policy, SME policy, Information Society policy (i2010), other Community policies*…. *often cited wrongly or misunderstood

29. Links More (documents, project descriptions, presentations,…) at  http://www.cognitivesystems.eu http://www.cognitivesystems.eu European Network for the advancement of artificial Cognitive Systems  http://www.eucognition.org http://www.eucognition.org  http://www.robotics-platform.eu.com/ http://www.robotics-platform.eu.com/ Contact  Colette.Maloney@ec.europa.eu Colette.Maloney@ec.europa.eu

30. ICT-2007.4.3 Digital libraries and technology-enhanced learning

31. ICT2007.4.3: Digital Libraries & Technology enhanced Learning The Workprogramme has 2 distinct elements: Digital Libraries  Medium term:  a) Large-scale European-wide digital libraries  Long term:  b) Radically new approaches to digital preservation Technology-enhanced Learning  Medium term  c) Responsive environments for technology-enhanced learning  Long term  d) Adaptive and intuitive learning systems

32. Digital libraries: research objectives a) Large-scale European-wide digital libraries of cultural and scientific multi-format and multi-source digital objects (medium term)  robust and scalable environments  cost-effective digitisation  innovative services and creative use  semantic-based search facilities and  digital preservation features assisting communities of practice in the creative use of content in multilingual and multidisciplinary contexts b) Radically new approaches to preservation of digital content (long term)  high volume; dynamic and volatile digital content (notably web)  keep track of evolving meaning and usage context  safeguarding integrity, authenticity and accessibility over time  models enabling automatic and self-organising approaches to preservation

33. Digital libraries: approach and impact  Approach:  All funding schemes – but with very different indicative budgets  Includes concept of centres of competence for digitisation and preservation, building upon, pooling and upgrading resources in the Member States  Cross-disciplinary research; empirical evaluation; socio- economic impact  Impact:  Unlock organisations' and people's ability to access digital content and to preserve it over time  EU-wide massive digitisation and long term preservation

34. Technology-enhanced Learning: research objectives c) Responsive environments for technology-enhanced learning (Medium term)  accommodate personalisation to respond to specific learning needs and contexts (mass-individualisation)  are capable of transforming learning outcomes into permanent knowledge assets  enhance competence, skills and performance  are pedagogically sound d) Adaptive and intuitive learning systems (Long term)  identify learner's requirements, intelligently monitoring progress,  exploit learning and cognitive abilities letting people learn better,  give purposeful and meaningful advice to both learners and teachers learning on your own or collaboratively

35. Technology-enhanced Learning: approach and impact Approach:  Cross-disciplinary (cognitive, organisational, pedagogical, technological aspects)  Provide a body of evidence as to which approaches are effective and under which circumstances Impact:  Faster and more effective learning, acquisition of knowledge, competences and skills  Unlocking people’s and organisations’ ability to master knowledge and apply it  Increased knowledge worker productivity,  More efficient organisational learning processes

36. Budget and Funding Schemes - instruments Budget for Call 3: 50 MEUR Funding Schemes:  Cooperative Projects (IPs and STREPs)  Networks of Excellence  Coordination Actions/Support Actions Indicative funding: Cooperative projects M€42.5  minimum of M€20 to IPs;  minimum of M€10 to STREPs); M€5 for NoEs; M€2.5 for CSAs NO pre-allocation of budget between “digital libraries” and “learning”!

37. FP7 - ICT Call 1 (2007) results  191 proposals, €610m asked for €52m available [149 STREPs, 21 IPs, 3 NoE, 6 CA, 12 SA]  81 proposals passed evaluation [62 STREPs, 9 IPs, 2 NoE, 3 CA, 5 SA]  26 projects retained: [7 STREPs, 4 IPs, 1 CA]  Lowest scoring “retained” projects  STREP – 14, IP – 14.5, CA - 15

38. FP7-ICT call 1 results Digital Libraries and digital preservation 2 IPs, 3 STREPs, 1 CA Large scale digitisation of printed documents (older materials and fonts), digital preservation and added value services based on digital content Learning 2 IPs and 4 STREPs Greater focus on responsive environments and mid-term goals, than on intuitive systems Strong continuity with FP6 research (and projects!) – NoEs have been influential

39. FP7-ICT call 1 new projects Technology-enhanced Learning (1)  IP1: Constructivist approach to science learning  Adaptivity, learner as creator, engagement, guidance (by tutors/teachers)  Consortium: universities  IP2: Workplace learning  Embedding learning more seamlessly in work processes and KM systems; knowledge maturation  Consortium: universities, industry

40. FP7-ICT call 1 new projects Technology-enhanced Learning (2)  STRP 1: Personalisation and adaptivity  developing new tools interfacing with existing infrastructures and LMS  STRP 2: Theories, methodologies and technologies for game based learning  Focus on learning science, adaptivity, story telling and engagement  STRP 3: Adaptivity and guidance  Using natural language technologies to support learner and teacher  STRP 4: Innovation and creativity in product development

41. FP7-ICT call 1 new projects Digital libraries (1) Integrated Project 1: Data Grid, Federated Digital Libraries, Persistent Data Archives and Multivalent Architecture  Test-beds: Documents in Memory Institutions and Governmental Collections, Objects in Industrial Design and Engineering, eScience  Consortium: universities and research org in EU and US, industry and gov. Integrated Project 2:  Large scale digitisation of printed older material (scan + OCR) with multilingual support  Centre of competence for digitisation  Consortium: national libraries, ICT (scan + OCR specialists)

42. FP7-ICT call 1 new projects Digital libraries (2) STREP 1: Web archiving: fidelity, coherence and interpretability, transforming pure snapshot into living web archive Consortium: Universities and research, new media archiving STREP 2: Explore software agent technologies to automate preservation processes (self-preserving objects) Consortium: archives and universities, research, ICT STREP 3: Innovative access to digital library content (ability to extend queries in the context of a specific discipline to alien domains) Consortium: film news agencies, universities, research CSA Coordination action on multilingualism in digital libraries

43. Where proposals failed  Described solutions without defining either the problem or the research and progress that would be made  Objectives more oriented towards providing a solution for a particular set of users (e.g. training for engineers, the virtual museum or digital library with the collections of a specific organisation) than the objectives and impacts specified in the work-programme  Failure to justify the choice of the application or test-bed. Our approach is subject neutral – and so it is up to proposers to argue the usefulness of the proposed test-beds (in terms of learning context, potential for replication).  Tried to create false links between digital libraries and technology- enhanced learning – thinking that greater coverage of the WP is better than clear relevance to one of the research topics

44. Where proposals failed Over-dimensioned – tried to tackle too much and becoming too diffuse rather than stick to a core problem and focused, measurable objectives In digital libraries: Several proposals having as main objective and outcome to set-up a digital library or repository hosting the collections of an institution, occasionally with some a digitisation component, but a very limited research component Development of solutions for very specific audiences (tracking of stolen works, publishing / simulation of scientific data) without a visible research outcome In learning: Inability to leverage a balance of research in technological and pedagogical (or cognitive science) disciplines – too often there were technologies looking for a home Aim to create LMS or content delivery platforms – not advanced as regards the state of the art, or more oriented towards the objectives of eContentplus

45. Contacts and further information Cultural heritage and technology enhance learning http://cordis.europa.eu/fp7/ict/telearn-digicult/home_en.html Info day Luxembourg 18/19 December 2007 http://cordis.europa.eu/fp7/ict/telearn-digicult/call3-infodays_en.html (useful presentations, project summaries from Call 1 etc) ERCIM News September 2007 (Technology Enhanced Learning) http://ercim-news.ercim.org/ Digital libraries and preservation: infso-digicult@ec.europa.euinfso-digicult@ec.europa.eu Tech. enhanced learning: infso-telearn@ec.europa.euinfso-telearn@ec.europa.eu

46. ICT-2007.4.4 Intelligent content and semantics

47. FP7 - ICT Call 1 (2007) results  148 proposals, €610m asked for €52m available [119 STREPs, 20 IPs, 1 NoE, 3 CA, 5 SA]  55 proposals passed evaluation [45 STREPs, 8 IPs, 0 NoE, 1 CA, 1 SA]  15 projects retained: [9 STREPs, 4 IPs, 1 CA, 1 SA]  Lowest scoring “retained” projects  STREP – 12.5, IP – 12.5, CA – 13, SA – 10.5

48. Call 1 results  popular themes:  content creation & processing,media (film, TV, advertising…) & otherappls(egsurveillance)  Knowledge management in a range of business& public-interest domains  personalisation& summarisation Recurring features: video & 3D; automated extraction, annotation & indexing; social approaches …  gaps:  Creative authoring(egonline games, virtualworlds, industrialdesign …)  immersive rendering, multimodal consumption

49. Successful Proposals  post-production tools for the film & games industry  semantic coding of 3D objects, sharing of 3D models  semantic wikis as a knowledge management tool  enterprise knowledge aids integrating social software & semantics  distributed, approximate & incomplete reasoning ……

50. Call 3  guidance for proposers  analysis of Call 1 submissions  synopses of successful proposals  Call 3 specific guides  handling of inquiries until mid-March  series of infodays

51. Scope and focus  WP defines the scope of the call «relevance»  Call guidance notes specify gaps & requirements after Call 1  «opportunity»  so read carefully both documents before delineating your proposal  Especially since many submissions are expected!

52. (a) Advanced Authoring (Call 3 focus in red)  explore new forms of content, provide enhanced experience  support creative process & experimentation  more interactive, expressive & perceptual content borrowing from:  game technology, virtual environments  computer animation, visualisation, simulation  non-linear narratives, interactive storytelling …  generate metadata as new content is created/captured; find reference & inspirational material, remix, share...  …for personal or professional use

53. (b) Collaborative Workflow  from analogue through digital files to feature-rich objects:– data interoperability across systems  metadata based flows  storage & management of large-scale resources  handling of novel & legacy, local & remote content  packaging & repurposing, adaptation to target groups  segmentation, summarisation, efficient coding & transmission …  focus on flexible & robust solutions likely to be adopted by the multimedia industry

54. (c) Personalised Distribution & Presentation  progress towards more (re)active, adaptive … content  i n particular, “atomic” objects acting as a container of essence, metadata & ambient/context intelligence  enabling dynamic user, context & device adaptation  with in-built privacy preserving logging/feedback datamining  where relevant, immersive rendering & multimodal interaction  exploiting new & upcoming appliances  borrowing from games, virtual worlds, etc  emphasis on mobile environments & location based services

55. (d) Community building and Take-up  aim is to link research to its broader context  emphasis on  Technology assessment, benchmarking  as a precondition for S&T progress & technology transfer – investigate requirements, coordinate ongoing efforts, fill gaps (tasks/media), delineate future strategies & infrastructures  Interactive Media design  as a means to foster ICT-enabled Creativity by bringing closer together technologists & creatives  normally implemented as NoE or CA

56. (e) Semantic foundations  beyond current knowledge models & formalisms  approximate reasoning & induction  temporal, probabilistic & modal modelling  focus on temporal & dimensional reasoning  reference implementations incl. web integration of heterogeneous data sources  multimedia resources  (real-time) data streams showing the practical value & power of semantics

57. (f) Knowledge systems  architectures, systems & technologies for information bound organisations & communities  very large, fast growing volumes  multi-source, multi-format, (un/semi-) structured info  core tasks:  extract “meaning” (deep structure, semantic clues) from information, social interaction & work patterns  make it computer tractable … and use it!  focus on  decision support (industry, business, science, health, environment …)  collaboration (enterprises, communities)

58. Summary  authoring : better ICT support for creativity & experience ; novel forms of expressive content borrowing from game technology, virtual environments, computer animation, …  workflow : all-digital interoperable chain, metadata based content flows encompassing novel & legacy content  personalisation, contextualisation and device adaptation ; technologies for personalised distribution & immersive consumption of adaptive content  knowledge management systems for information bound organisations & communities exploiting deep structure & semantic clues embedded in multimedia resources & data streams

59. Will not support…….  basic research with no identifiable by-products within 10 years  developments addressing immediate commercial concerns eg content protection & monetisation  issues covered by other Challenges eg media networking, peer to peer, wireless …  issue addressed by other Objectives eg cultural content, learning  topics well covered by ongoing & upcoming projects (see our website) individual proposals can however address one or the other of the above issues and integrate existing & emerging technologies

60. Instruments  IPs → impact  up to 4 years, 5-9 Meuro (EU funding)  NoEs → integration  up to 3 years, up to 3.5 Meuro  STRs “research” → S&T innovation  up to 3 years, 2-4 Meuro  STRs “demonstration” → uptake  up to 2 years, 1-3 Meuro  CSAs (coordination & support actions)  up to 3 years, up to 1.5 Meuro

61. STREPs - Demonstration  STREPs especially geared towards use cases & field experimentation (“first use”)  centred around existing, promising but untried technology  designed to go one step forward towards  packaging, configuring … and testing  assess viability  functionality  technical performance & flexibility  usability (hide complexity!) within a well defined domain / user context  rigorous evaluation plans & metrics  active user involvement & feedback  adequate documentation of results (positive/negative)

62. Partnerships  keep consortium manageable  compact consortia (8.5 on average in Call 1):  IPs 7-12 partners  STREPs 4-8partners  NoEs 3-4 “core”partners  select competent, committed & reliable partners; geography not an issue!  industry, SME, academia … participation as dictated by project needs  “launching user” organisations to provide a demanding problem & application/validation context

63. Reasons for Failure  RTD content  narrow scope, little or no EU dimension  lack of focus, aims too general  lack of innovation, current state of art missing  Planning  links missing between objectives & work plan  milestones missing or too general  risk factors not addressed, no contingency plans  no monitorable indicators, no metrics  Management  consortium not balanced, gaps in the skills mix  lack of integration between partners  vague management structure  weak or narrow dissemination plans  ill-defined exploitation prospects

64. Contacts and further information Intelligent Content and Semantics on Cordis http://cordis.europa.eu/ist/kct/fp7_call_3.htm (call specific background notes, call 1 results/projects etc) Info day Luxembourg 18/19 December 2007 http://cordis.europa.eu/ist/kct/eventcall3-in-motion.htm (useful presentations, project summaries from Call 1 etc) Public consultation – future research http://cordis.europa.eu/ist/kct/fp7-consultation.htm (useful presentations, project summaries from Call 1 etc) Infso-e2@ec.europa.eu

65. ICT-2007.8.4 Science of complex systems for socially intelligent ICT

66. Science of Complex Systems for Socially Intelligent ICT Origins  FP6 FET Proactive Initiative: 'Simulating Emergent properties of Complex Systems‘ http://cordis.europa.eu/ist/fet/co.htm  ‘ONE-CS’ CA  Open network for connecting excellence in complex systems http://www.once-cs.net/

67. 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!

68. 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.

69. 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’

70. 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).

71. 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.

72. 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.

73. Science of Complex Systems for Socially Intelligent ICT Budget and funding schemes 20 M€  CP (IP only) 19M€ – –CSA (CA only) 1M€

74. Contacts and further information Cordis: COSI-ICT Proactive http://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 ftp://ftp.cordis.europa.eu/pub/fp7/ict/docs/fet-proactive/cosiict-ws-oct07-02_en.pdf FET info day: 24/01/08 – Brussels http://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html Contact: jose.fernandez-villacanas@ec.europa.eujose.fernandez-villacanas@ec.europa.eu carlos.bousono-calzon@ec.europa.eu pekka.karp@ec.europa.eu

75. ICT-2007.8.5 Embodied intelligence “physically embodied intelligent agents and artefacts”

76. Embodied Intelligence Background  «Beyond the Horizon» thematic group on:  «Intelligent and Cognitive systems»  http://cordis.europa.eu/fp7/ict/fet-proactive/embodyi_en.html http://cordis.europa.eu/fp7/ict/fet-proactive/embodyi_en.html  1 past FET proactive initiative:  Beyond Robotics

77. Embodied Intelligence The rationale and objectives “New Technologies and design approaches for building physically embodied intelligent agents and artefacts, with emphasis on the relationship between shape, function and the physical and social environment”

78. Embodied Intelligence Research Objectives  Key features:  Physical Embodiment  Intelligent Agents and Artefacts  Shape, Function and Environment Mind-Body Co-Development and Co-Evolution Morphology and Behaviour Design for Emergence Projects should focus on one or several of the following:

79. Embodied Intelligence Research focus 1 Mind-Body Co-Development and Co-Evolution :  to develop extended multi-modal interaction of agents with the physical and social environment.  For a better understanding of such interaction in open-ended learning and adaptation processes, including morphological change for shaping perception, cognition, cooperation and intelligence  To demonstrate qualititative and quantitative improvements in agent capabilities and characteristics

80. Embodied Intelligence Research foci 2 & 3 Morphology and Behaviour New Design principles for sensing, actuation and locomotion components and for robot architectures that are based on a deeper understanding of the role of form and material properties in shaping behaviour, and the way these induce relationships and interactions with the environment and with other agents. The aim is to demonstrate advantages in terms of physical & performance robot characteristics (e.g. control, weight, flexibility, resilience,..) Design for Emergence Design paradigms and techniques for purposive agents, where behaviour is not strictly programmed but robustly emerges from the interaction of the various components (each with local intelligence), the environment and its ubiquitous information resources. The aim is to develop smart components and techniques for the design of ambitious classes of scalable robotic systems, incorporating prior knowledge on tasks or environments, while allowing also room for emergence and adaptation

81. Embodied Intelligence Some expected impact The research should advance the state of the art in intelligent systems and in particular in robotics and ICT, as well as in other disciplines (neuroscience, sociology, biology). It should bring essential contributions for achieving robotic systems:  Of a greater morphological diversity  For a larger spectrum of uses  More natural and safer to interact with  More easily integrated in everyday environment

82. Embodied Intelligence Budget and funding schemes  Indicative budget distribution and funding schemes (total ~ 20 M€)  Collaborative research Integrated projects (IPs) Strategic research projects (STREPs)  Coordination and support actions (CSA)  Embodied Intelligence will be part of ICT Call 3  opens in December 2007  1st projects start late 2008, run 3-4 years IPs, ≥10 M€ STREPs ≥ 4 M€ CSAs, ~1 M€ Total: ~20 M€

83. Embodied Intelligence Further information Background documents ‘Beyond the Horizon’  Intelligent and Cognitive systems http://cordis.europa.eu/fp7/ict/fet-proactive/embodyi_en.html FET info day: 24/01/08 – Brussels http://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html Contact: David.Guedj@ec.europa.eu David.Guedj@ec.europa.eu

84. ICT-2007.8.6 ICT forever yours “designing for longevity, diversity and security”

85. ICT Forever Yours - Origins  «Beyond the Horizon» CA  «Software Intensive systems»  Engineering adaptive SW intensive systems  Managing diversity in knowledge  Eternal SW intensive systems  «security, dependability and trust»  Ambient trustworthiness and its assessibility  Dynamicity of trust  Qauntum techno & crypto for information security http://cordis.europa.eu/fp7/ict/fet-proactive/ictfy_en.html  2 past FET proactive initiatives:  Situated and Autonomic Communications  Global Computing

86. ICT Forever Yours The rationale and objectives “The mass diffusion of digital systems and their pervasiveness in our everyday lives increases our expectations on the dependability, security and longevity of these systems. This requires new built-in mechanisms for  enhancing confidence in their usage,  preserving them from the threat of ageing,  protecting them from malicious intents in the context of highly decentralised and incremental development and deployment practices.” designing for longevity, diversity and security

87. ICT Forever Yours Research Objectives Eternal systems Self-sustaining, evolving, minimal intervention Future proof Knowledge, diversity and time Exploiting locally maintained knowledge Building on external knowledge Secure and dependable software Secure programming ‘Assessability’ in context ‘Projects should focus on one or several of the following:’

88. ICT Forever Yours Research focus 1 Eternal Systems  to develop a theoretical and practical framework for extremely long-lived systems,  requiring minimal intervention and management to thrive in spite of changes in: usage, host device, network context or data- and data protection formats…  Systems should be future proof, able to preserve and update their original functionality in a machine-independent way, and ultimately by being self-sustaining and evolving

89. ICT Forever Yours Research focus 2 Knowledge, diversity and time  New approaches for “eternal” and reliable access to knowledge assets,  knowledge parts are produced locally, but exploited globally, and are endowed with ‘a sense of time and context’  robust against ageing, diversity of use and evolving semantics.

90. ICT Forever Yours Research focus 3 Secure and dependable software (highly distributed and heterogeneous software or of ambient systems.)  Methods and tools for high-level verifiably secure and dependable programming,  new metrics to aid assessability of the security and dependability Secure programming Secure design assessability Verifiable security Interactions of systems systems

91. ICT Forever Yours Budget and funding schemes 20 M€  CP (IP only) 19M€ – CSA (CA only) 1M€

92. ICT Forever Yours Further information Background documents ‘Beyond the Horizon’  Software Intensive Systems  Security, dependability and trust http://cordis.europa.eu/fp7/ict/fet-proactive/ictfy_en.html FET info day: 24/01/08 – Brussels http://cordis.europa.eu/fp7/ict/fet-proactive/ie-jan08_en.html Contact: jean-marie.auger@ec.europa.eu jean-marie.auger@ec.europa.eu wide.hogenhout@ec.europa.eu

93. ICT-2007.9.2 International cooperation

94. Objective 9.2: International Cooperation  Promotion of cooperation opportunities “Promotion of the ICT programme … by providing information in relevant countries and regions …”  Identification of cooperation opportunities Mappings (only useful where not yet done)  Support to policy dialogues “Strengthened policy dialogues with main partners”, activities supporting/flanking IS Dialogues  Networking existing projects  Coordination with activities launched under Capacities Programme, development of S&T Co-operation Partnerships, and support to co- ordination of national policies and international S&T cooperation

95. Objective 9.2: International Cooperation Expected impact  Paving the way for strategic partnerships in view of gaining access to knowledge, developing global standards and interoperable solutions, and strengthening EU competitiveness  Wider diffusion of the information society, especially in developing countries and strengthened EU policy for development (was more relevant for Call 1)

96. Objective 9.2: International Cooperation  Target regions: Eastern Europe and Central Asia, Western Balkan countries, Mediterranean Partner Countries, Latin America  Funding schemes: CSA (typically SA; CA for proposals coordinating/networking existing projects)  Indicative budget: 5M€  Attention: No part b) in Call 3 (development-related roadmaps in language technologies, OSS, accessible/inclusive ICT)!

97. ICT National Contact Points Stephen O’Reilly EI Cork 021 4800217 087 9281449 stephen.oreilly@enterprise-ireland.com Gerard Kennedy EI Limerick 061 408869 087 6967478 gerard.kennedy@enterprise-ireland.com