ICT Call 3

1
ICT Call 3
Stephen OReilly - 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
  RD
• 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
Socio-economic goals
4. Digital libraries and content
5. ICT for health
6. ICT for mobility sustainable growth
7. ICT for independent living and
inclusion
1. Network and service infrastructures
2. Cognitive systems, interaction, robotics
Future and Emerging Technologies (FET)
Industry/Tech needs
3. Components, systems, engineering
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 wont need to compete against
  research projects for funding
• A reserved amount for NoE
• wont 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 Call 3

• 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 1700, 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 controllingeg using computer
vision

• traffic monitoring other
  applications

intelligent surveillance, biometric
recognition, exploration, data-gathering manufactu
ring, robotics,
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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 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 so that they are more robust,
  flexible, effective, natural and where necessary
  or desirable, safer and more autonomous than what
  is possible today?
• but, how can we specify what it means to be
  robust, flexible, etc?

22
Addressing the key question

• 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.
• 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
• dont forget the emphasis, in particular in
  robotics, is on integration of complete systems

23
Project outcome

• 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
• emphasis is scientific and technological advance
  not application development!!
• role of applications is to provide research
  questions and to demonstrate the impact of
  conceptual or technical innovation.

24
Challenges for research

• a key issue is how systems should work greatly
  improving robustness etc. requires rethinking the
  way systems are engineered
• theories are needed - systems theories, software
  architectures, control theories, modelling
  theories, etc - that will allow us to build these
  types of systems
• 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 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.
Target b (NoEs)

• 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

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 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 - is not a requirement.
  It is an option
• 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
• European Network for the advancement of
  artificial Cognitive Systems
• http//www.eucognition.org
• http//www.robotics-platform.eu.com/
• Contact
• Colette.Maloney_at_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

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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 peoples 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 M42.5
• minimum of M20 to IPs
• minimum of M10 to STREPs)
• M5 for NoEs
• M2.5 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
• 12 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 projectsTechnology-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 projectsTechnology-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 projectsDigital 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 projectsDigital 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/h
  ome_en.html
• Info day Luxembourg 18/19 December 2007
• http//cordis.europa.eu/fp7/ict/telearn-digicult/c
  all3-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_at_ec.europa.eu
• Tech. enhanced learning infso-telearn_at_ec.europa.e
  u

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) other appls (eg surveillance)
• 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
• in 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 ST 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 ? ST 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 4-8 partners
• NoEs 3-4 corepartners
• 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-moti
  on.htm
• (useful presentations, project summaries from
  Call 1 etc)
• Public consultation future research
• http//cordis.europa.eu/ist/kct/fp7-consultation.h
  tm
• (useful presentations, project summaries from
  Call 1 etc)
• Infso-e2_at_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

• Todays 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/cos
  iict_en.html
• Position paper, FET workshop in Dresden, Oct07.
  ftp//ftp.cordis.europa.eu/pub/fp7/ict/docs/fet-pr
  oactive/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_at_ec.europa.eu
• carlos.bousono-calzon_at_ec.europa.eu
• pekka.karp_at_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/embo
  dyi_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

Projects should focus on one or several of the
following

• Mind-Body Co-Development and Co-Evolution
• Morphology and Behaviour
• Design for Emergence

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 IntelligenceBudget and funding schemes
Total 20 M

• 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

STREPs 4 M
IPs, 10 M
CSAs, 1 M
83
Embodied IntelligenceFurther information

• Background documents
• Beyond the Horizon 
• Intelligent and Cognitive systems
• http//cordis.europa.eu/fp7/ict/fet-proactive/embo
  dyi_en.html
• FET info day 24/01/08 Brussels
• http//cordis.europa.eu/fp7/ict/fet-proactive/ie-j
  an08_en.html
• Contact David.Guedj_at_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/ictf
  y_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
Projects should focus on one or several of the
following

• 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

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

Verifiable security
assessability
Interactions of systems
systems
Secure design
Secure programming
91
ICT Forever YoursBudget and funding schemes

• 20 M
• CP (IP only) 19M

• CSA (CA only) 1M

92
ICT Forever YoursFurther information

• Background documents
• Beyond the Horizon 
• Software Intensive Systems
• Security, dependability and trust
• http//cordis.europa.eu/fp7/ict/fet-proactive/ictf
  y_en.html
• FET info day 24/01/08 Brussels
• http//cordis.europa.eu/fp7/ict/fet-proactive/ie-j
  an08_en.html
• Contact jean-marie.auger_at_ec.europa.eu
• wide.hogenhout_at_ec.europa.eu

93
ICT-2007.9.2 International cooperation
94
Objective 9.2 International Cooperation

• Promotion of cooperation opportunitiesPromotion
  of the ICT programme by providing information
  in relevant countries and regions
• Identification of cooperation opportunitiesMappin
  gs (only useful where not yet done)
• Support to policy dialoguesStrengthened policy
  dialogues with main partners, activities
  supporting/flanking IS Dialogues
• Networking existing projects
• Coordination with activities launched under
  Capacities Programme, development of ST
  Co-operation Partnerships, and support to
  co-ordination of national policies and
  international ST 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 OReilly
• EI Cork
• 021 4800217
• 087 9281449
• stephen.oreilly_at_enterprise-ireland.com

www.FP7-Ireland.com
Gerard Kennedy EI Limerick 061 408869 087
6967478 gerard.kennedy_at_enterprise-ireland.com