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WREN Workshop Performance Assessment of Public Research, Technology and Development RTD Programmes

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Title: WREN Workshop Performance Assessment of Public Research, Technology and Development RTD Programmes


1
WREN Workshop Performance Assessment of Public
Research, Technology and Development (RTD)
Programmes
  • Peter JohnstonHead, Evaluation and monitoring
  • Thursday 17 June 2004

2
Key issues Assessing achievements against
objectives and expectations
  • Scientific excellence and industrial leadership
    in strategic areas
  • Widespread innovation and economic growth
  • Social and environmental benefits sustainable
    development

3
Clarifying the causality links between RTD
outputs, results and impacts
  • From scientific publications to scientific
    leadership and wider dissemination of new
    knowledge, skills and jobs
  • From new technology platforms to international
    standards, new markets and social benefits
  • From technology breakthroughs to patent
    applications, licences, wider innovation, new
    business opportunities and new jobs

4
Understanding the value of social capital and
knowledge networks
  • Networking between business and academia
  • Networking between large companies and SMEs
  • Networking between research disciplines
  • Networking between (mobile) researchers

5
Networks are essential for creativity and
effective exploitation of knowledge
  • Technology development chains are increasingly
    complex No single entity can master the
    complete range of know-how needed to sustain
    leadership in any topic
  • We increasingly need a systemic approach to
    Information society developments
  • There are growing synergies with other areas
    nano-technologies, biotechnologies etc

6
International co-operation and comparability in
RTD evaluation
  • In a global knowledge economy, we all benefit
    from more effective public investment in RTD - We
    need
  • Better and more coherent data sources
  • Consistent indicators of outputs and impact
  • New tools Data-mining, logic models, causality
    maps and network analysis tools
  • Exchange of experience and good practice
  • Peer review and international collaborations
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