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A story about research policy and numbers On research assessment Per M. Koch Director for Analysis and Strategic Development The Research Council of Norway 6th Elsevier Nordic Librarian Forum, Helsinki, Nov 6th 2008
Research and innovation  policy assessment for librarians ,[object Object],[object Object]
A lesson in how to wake up a policy maker
Lesson 1: Give her a simple story that anybody can understand
The linear model works perfectly in a policy setting Research and technological development in universities, RTOs  and  companies gives birth to an idea and relevant new knowledge Companies make use of these ideas in the development of new products and processes The company brings the new product to the market
Why? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The systemic model of learning and innovation is not easily reduced to a one minute sound bite Knowledge of customer and market needs In-house learning market pull New or improved products, processes or services User input Marked knowledge Tacit knowledge Acquired technology Literature Conferences and fairs New employees Commissioned R&D In-house R&D
[object Object],[object Object],[object Object],[object Object]
Lesson number 2: Policy makers are number fetishists
The policy game is based on indicators ,[object Object],[object Object],[object Object],[object Object]
The number game part 2 ,[object Object],[object Object],[object Object],[object Object],[object Object]
The numbers game part 3 ,[object Object],[object Object],3% objective
Policy makers are not stupid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cynical? Not me! ,[object Object],[object Object],[object Object]
How to Thomas Kuhn STI indicators ,[object Object],[object Object],[object Object]
The Norwegian puzzle, a case study
The Norwegian Paradox Low R&D Investements Extreme wealth creation 1,9% 3.5% 2.4% 3.9% 1.5% R&D/GDP 2005 7,7% 110 FI 7,9% 3,9% 7,0% 3.5% Unem-ployment 2006 100 122 115 172 GDP per capita 2005 EU25 DK SE NO
The Swedish and Norwegian paradoxes ,[object Object],[object Object],[object Object],[object Object],[object Object]
EU Innovation Scoreboard indicates a poor innovation capacity Kilde: EU Innovation Scoreboard, 2004 Summary  Innovation Index, 2004 EUs innovasjonsindeks 2004 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9
But Norway has an extremely high productivity EU 25 Finland EU 15 USA Luxem- burg Norway with oil Sweden Mainland Norway Denmark
[object Object]
So  now  what do we do? ,[object Object],[object Object]
The Research Council of Norway and Innovation Norway have brainstormed a lot! ,[object Object],[object Object],[object Object],(Vinnova of Sweden is also taking part)
The main explanation ,[object Object],[object Object],[object Object],[object Object]
Countries may vary a lot as regards industrial structure ,[object Object],[object Object],[object Object],[object Object],[object Object],Note also that the Norwegian GDP is extremely large
A nagging suspicion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Norway EU Innovation Scoreboard
We need to shift from a technology push perspective to a vision of learning
The 3 percent objective is based on a linear model ,[object Object],[object Object],[object Object],[object Object],[object Object],There is nothing wrong in having increased investments in R&D as a policy objective, but here it is used as a proxy for innovation
Focus on other aspects of learning ,[object Object],[object Object],[object Object],[object Object],[object Object]
A new focus on research as a learning tool ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Do we have indicators for learning? ,[object Object],[object Object],[object Object],[object Object],[object Object]
What about research output indicators? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Indicators for the interaction with society ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
We have to connect research input to social, economical and environmental output ,[object Object],[object Object],[object Object]
The Nordic advantage: The autonomous workers make the bumblebees fly ,[object Object],[object Object],[object Object]
Concepts like “high tech” and “low tech” makes little sense
Understanding innovation in resource based industries ,[object Object],[object Object],[object Object]
Low tech, but knowledge intensive ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Indirect use of research ,[object Object],[object Object],[object Object],[object Object],[object Object],The advanced technology has been “black-boxed”. You do not need to know how to build a TV to watch the Simpsons.
We need to get a better understanding of the role of services ,[object Object],[object Object],[object Object],[object Object],[object Object]
Important service sectors ,[object Object],[object Object],[object Object]
Services as partners and knowledge providers for industry ,[object Object],[object Object],[object Object]
Understanding the effects of public sector innovation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Copenhagen Manual ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Company Learning Networks innovation Customers  and users Suppliers Policy- institutions Financial Institutions R&D Institutions Consultants Public policy Cultural framework International framework Industrial structure Understanding competence flows in the innovation system
The role of competence flows ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],National innovation systems must have porous boundaries. The EU is not competing with the US or Japan. This is not a zero-sum game!
Understanding the heterogeneity of innovation systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Understanding socio-cultural framework conditions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Where are we now? ,[object Object],[object Object],[object Object],[object Object]
Online R&D statistics and research and innovation policy information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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R&D and Innovation Statistics, challenges of interpretation

  • 1. A story about research policy and numbers On research assessment Per M. Koch Director for Analysis and Strategic Development The Research Council of Norway 6th Elsevier Nordic Librarian Forum, Helsinki, Nov 6th 2008
  • 2.
  • 3. A lesson in how to wake up a policy maker
  • 4. Lesson 1: Give her a simple story that anybody can understand
  • 5. The linear model works perfectly in a policy setting Research and technological development in universities, RTOs and companies gives birth to an idea and relevant new knowledge Companies make use of these ideas in the development of new products and processes The company brings the new product to the market
  • 6.
  • 7. The systemic model of learning and innovation is not easily reduced to a one minute sound bite Knowledge of customer and market needs In-house learning market pull New or improved products, processes or services User input Marked knowledge Tacit knowledge Acquired technology Literature Conferences and fairs New employees Commissioned R&D In-house R&D
  • 8.
  • 9. Lesson number 2: Policy makers are number fetishists
  • 10.
  • 11.
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  • 16. The Norwegian puzzle, a case study
  • 17. The Norwegian Paradox Low R&D Investements Extreme wealth creation 1,9% 3.5% 2.4% 3.9% 1.5% R&D/GDP 2005 7,7% 110 FI 7,9% 3,9% 7,0% 3.5% Unem-ployment 2006 100 122 115 172 GDP per capita 2005 EU25 DK SE NO
  • 18.
  • 19. EU Innovation Scoreboard indicates a poor innovation capacity Kilde: EU Innovation Scoreboard, 2004 Summary Innovation Index, 2004 EUs innovasjonsindeks 2004 0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9
  • 20. But Norway has an extremely high productivity EU 25 Finland EU 15 USA Luxem- burg Norway with oil Sweden Mainland Norway Denmark
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27. Norway EU Innovation Scoreboard
  • 28. We need to shift from a technology push perspective to a vision of learning
  • 29.
  • 30.
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  • 36.
  • 37. Concepts like “high tech” and “low tech” makes little sense
  • 38.
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  • 41.
  • 42.
  • 43.
  • 44.
  • 45.
  • 46. Company Learning Networks innovation Customers and users Suppliers Policy- institutions Financial Institutions R&D Institutions Consultants Public policy Cultural framework International framework Industrial structure Understanding competence flows in the innovation system
  • 47.
  • 48.
  • 49.
  • 50.
  • 51.