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APPLYING SYSTEMS APPROACHES TO
UNIVERSITY RESEARCH CHAIRS
PROGRAMME
Maurice Bolo, PhD
Bolo@scinnovent.org / ochibolo@gmail.com
NACOSTI Pre-proposal Development Workshop
17th October, 2013
Presentation outline
• Research chairs in the context of national
competitiveness
• The context for science is changing....
• What does this (change) mean for us?
• How should we respond?
• Towards systems approaches....
• Closing the loop – from research to innovation
in agri-biotech/health systems
• What next?
Drivers of Global Competitiveness
Government forces

Labor market efficiency

Institutions

Infrastructure

Higher Education and
Training

Business sophistication

Global
Competitiveness

Financial market
development

Innovation

Legal and regulatory
systems

Technological readiness

Macro-economic
environment
Market forces
Enhancing Kenya’s competitiveness
through Research Chairs
• Improving the institutional environment to foster
creativity, collaboration, innovation and
entrepreneurship
• Improving the research infrastructure thro’
investment in laboratory equipment and machines
• Supporting high level postgraduate training
• Fostering innovation and technological readiness
Enhancing Kenya’s competitiveness
through Research Chairs
• Providing skilled and highly trained manpower into
the labour market
• Leveraging financial support to research from private
sector and other financial institutions
• Improving IP systems and innovation governance
• Policy recommendations to improve the macroeconomic environment
BUT, it can’t be business as usual
We have to re-think our
approach to science
From ‘model 1’ science
…..to ‘model 2’ science
The context is changing........
Mode 1 Science

However,

•Linear model linking science to society
and economy
•Research priories are determined by
the scientific community
•Research is carried out by universities
and other institutions largely isolated
from the surrounding society (ivory
towers)
•Scientific excellence based on
recognition of merit and originality by
peers

The research should be participatory
and avoid the linear approach used to
research on people rather than with
the people
•There is need for personal and
institutional transformation and
an enabling policy environment
The context is changing........
Mode 2 Science
•Science as part of an innovation system
•Many feedback loops
•Opportunities for interaction
with the broader society

Mode 2 Science
•Scientists’ work valued not for its
intellectual merit, but also for its
contribution to society’s social
and economic needs
•Scientific priorities selected
according to social and economic
priorities
•Priority setting process a dialogue
between scientists and the
broader community
Theoretical and empirical Implications
• The old linear models will be of little use as a result
of the nature of life sciences knowledge production.
•
The complexity of the problems and the wider
variety of competence bases required are impossible
to satisfy within a single discipline.
• This makes multi-disciplinary teams/networks
imperative.
Theoretical and empirical Implications
• Research and commercialization of the products are
expensive; requires sustained investment over a long
period of time.
• Coordination among groups of divergent knowledge types,
habits and belief systems requires careful networking
management.
• This requires the scientists to develop other sets of soft
skills – beyond their technical expertise e.g. leadership,
management, networking, negotiation skills
How should we respond?
Methodological Change
-Participatory problem identification
and priority setting
-Participatory research
-Collective Action Planning
-Participatory Monitoring and Evaluation
How should we respond?
Organizational change
From bureaucratic, non-learning
organization to flexible,
learning organizations
-Strategic thinking and decisionmaking
-Different outlook, methods, priorities
-Different incentives and rewards
-Different attitudes, habits and
practices
- Different organizations structures
How should we respond?
Personal change

Reverse attitude

•Multidisciplinary approach
•Seek feedback from partners

We know
They don’t know

We don’t know
They know

•Experiment to remain innovative
•Seek best ways to assist your partner
•Foster creativity and innovation

We know
They know

We don’t know
They don’t know
(Innovation) Systems Approach
• Focus on innovation

– Neither science or technology or invention, but the
application of knowledge.
– Can be acquired through learning, research or
experiences. Often its new combinations of existing
knowledge
• Role of Interactions

– Never in isolation; involves broad range of diverse
actors in the public, private spheres
– Linkages, partnerships and networks.
– Learning is interactive, requiring people with different
knowledge basis.
Innovation systems
• The role of policies
– Innovation not determined by the outcome of single
policy, but a set of policies work together to shape
innovative behavior.
• Institutions are key
– The habits and practices of organizations that shape their
propensity to interact, to learn, to access and share
knowledge and to take risks.
• Learning, competencies and skills
– Propensity to innovate, collaborate and share are learnt
behaviors emerging through experiences, interaction,
training
– Technological, managerial and other skills can be
developed if habits and practices encourage learning.
Innovation System Actors, Institutions and Linkages

Suppliers

suppliers

clients

Interaction

Financing
Institution

R&D
actors
Traditional Habits &
Practices of Actors

Source: Mytelka (2007)
From research to innovation…closing the loop
Diagrams,
Models,
descriptions

Invention

Introduced into the market/
economic use/
Practical application

Potential for application

Innovation

Novel idea

Diffusion

Dominant design
Mature
Product/
process

Dominant
market capture

Selection
Agri-biotech Innovation System

Health Systems
Some Food for Thought
Where is the industry
in its evolution?
Has the dominant
design emerged yet?

Can it be offered at
scale? Are customers
willing to pay for
value delivered?

Who are the target
market? How large is
the target segment?

Do competitive
offering exist? How
does this innovation
differ from what
already exists in the
market?

How will the
innovation be used?
How is it a solution to
the customer’s
problem?

How should the
product be presented
as a solution to
customers problem,
and not merely a
novel item/gizmo?

What will it cost to
deliver value to the
customer?
Are costs’ volume
sensitive, and if so,
how?

How can imitators be held at bay?
What next? The selection Process
1

2

3

4

5

Subject matter
Selection by
experts
Program Secretariat

Expressions
of Interest

Preproposal
Workshop

7

6
Peer Review by
Independent
expert panel

Full
proposals

8

9

Verification
survey

Top
proposals
chosen

Research
Chairs
Awarded
www.scinnovent.org

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Systems approach to university research chairs pre proposal workshop-mb [compatibility mode]

  • 1. APPLYING SYSTEMS APPROACHES TO UNIVERSITY RESEARCH CHAIRS PROGRAMME Maurice Bolo, PhD Bolo@scinnovent.org / ochibolo@gmail.com NACOSTI Pre-proposal Development Workshop 17th October, 2013
  • 2. Presentation outline • Research chairs in the context of national competitiveness • The context for science is changing.... • What does this (change) mean for us? • How should we respond? • Towards systems approaches.... • Closing the loop – from research to innovation in agri-biotech/health systems • What next?
  • 3. Drivers of Global Competitiveness Government forces Labor market efficiency Institutions Infrastructure Higher Education and Training Business sophistication Global Competitiveness Financial market development Innovation Legal and regulatory systems Technological readiness Macro-economic environment Market forces
  • 4. Enhancing Kenya’s competitiveness through Research Chairs • Improving the institutional environment to foster creativity, collaboration, innovation and entrepreneurship • Improving the research infrastructure thro’ investment in laboratory equipment and machines • Supporting high level postgraduate training • Fostering innovation and technological readiness
  • 5. Enhancing Kenya’s competitiveness through Research Chairs • Providing skilled and highly trained manpower into the labour market • Leveraging financial support to research from private sector and other financial institutions • Improving IP systems and innovation governance • Policy recommendations to improve the macroeconomic environment
  • 6. BUT, it can’t be business as usual We have to re-think our approach to science From ‘model 1’ science …..to ‘model 2’ science
  • 7. The context is changing........ Mode 1 Science However, •Linear model linking science to society and economy •Research priories are determined by the scientific community •Research is carried out by universities and other institutions largely isolated from the surrounding society (ivory towers) •Scientific excellence based on recognition of merit and originality by peers The research should be participatory and avoid the linear approach used to research on people rather than with the people •There is need for personal and institutional transformation and an enabling policy environment
  • 8. The context is changing........ Mode 2 Science •Science as part of an innovation system •Many feedback loops •Opportunities for interaction with the broader society Mode 2 Science •Scientists’ work valued not for its intellectual merit, but also for its contribution to society’s social and economic needs •Scientific priorities selected according to social and economic priorities •Priority setting process a dialogue between scientists and the broader community
  • 9. Theoretical and empirical Implications • The old linear models will be of little use as a result of the nature of life sciences knowledge production. • The complexity of the problems and the wider variety of competence bases required are impossible to satisfy within a single discipline. • This makes multi-disciplinary teams/networks imperative.
  • 10. Theoretical and empirical Implications • Research and commercialization of the products are expensive; requires sustained investment over a long period of time. • Coordination among groups of divergent knowledge types, habits and belief systems requires careful networking management. • This requires the scientists to develop other sets of soft skills – beyond their technical expertise e.g. leadership, management, networking, negotiation skills
  • 11. How should we respond? Methodological Change -Participatory problem identification and priority setting -Participatory research -Collective Action Planning -Participatory Monitoring and Evaluation
  • 12. How should we respond? Organizational change From bureaucratic, non-learning organization to flexible, learning organizations -Strategic thinking and decisionmaking -Different outlook, methods, priorities -Different incentives and rewards -Different attitudes, habits and practices - Different organizations structures
  • 13. How should we respond? Personal change Reverse attitude •Multidisciplinary approach •Seek feedback from partners We know They don’t know We don’t know They know •Experiment to remain innovative •Seek best ways to assist your partner •Foster creativity and innovation We know They know We don’t know They don’t know
  • 14. (Innovation) Systems Approach • Focus on innovation – Neither science or technology or invention, but the application of knowledge. – Can be acquired through learning, research or experiences. Often its new combinations of existing knowledge • Role of Interactions – Never in isolation; involves broad range of diverse actors in the public, private spheres – Linkages, partnerships and networks. – Learning is interactive, requiring people with different knowledge basis.
  • 15. Innovation systems • The role of policies – Innovation not determined by the outcome of single policy, but a set of policies work together to shape innovative behavior. • Institutions are key – The habits and practices of organizations that shape their propensity to interact, to learn, to access and share knowledge and to take risks. • Learning, competencies and skills – Propensity to innovate, collaborate and share are learnt behaviors emerging through experiences, interaction, training – Technological, managerial and other skills can be developed if habits and practices encourage learning.
  • 16. Innovation System Actors, Institutions and Linkages Suppliers suppliers clients Interaction Financing Institution R&D actors Traditional Habits & Practices of Actors Source: Mytelka (2007)
  • 17. From research to innovation…closing the loop Diagrams, Models, descriptions Invention Introduced into the market/ economic use/ Practical application Potential for application Innovation Novel idea Diffusion Dominant design Mature Product/ process Dominant market capture Selection
  • 19. Some Food for Thought Where is the industry in its evolution? Has the dominant design emerged yet? Can it be offered at scale? Are customers willing to pay for value delivered? Who are the target market? How large is the target segment? Do competitive offering exist? How does this innovation differ from what already exists in the market? How will the innovation be used? How is it a solution to the customer’s problem? How should the product be presented as a solution to customers problem, and not merely a novel item/gizmo? What will it cost to deliver value to the customer? Are costs’ volume sensitive, and if so, how? How can imitators be held at bay?
  • 20. What next? The selection Process 1 2 3 4 5 Subject matter Selection by experts Program Secretariat Expressions of Interest Preproposal Workshop 7 6 Peer Review by Independent expert panel Full proposals 8 9 Verification survey Top proposals chosen Research Chairs Awarded