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Science partnerships in
international development
today
WILLEM JANSSEN
LEAD AGRICULTURAL ECONOMIST
July 7, 2016
Today’s story
– The state of science and technology in agriculture
– How agricultural science is changing
– Implications for reorganizing agricultural science:
progress and challenges
– The World Bank and agricultural science and
technology
– Some examples on partnership approaches
– Evaluating partnerships
– Some gentle conclusions
Spending trends: developing
countries catching up
China, India, and
Brazil accounted
for half of
combined spending
in developing
countries.
Source: ASTI
Trends: Private spending, especially
in food processing is up
Private spending
concentrated in
developed
countries, and
growing in Brazil,
India, China
Source: ASTI
Behind the trends: new sources of change in
agriculture, often from the private sector
– IT: data processing, data management
– IT: self driving cars, drones, tractors
– IT: market information, climate and
weather
– Science of genes: genome management,
genetic modification, breeding
– Nanotechnology and material sciences;
storage technologies, equipment
– …………
Presentation Title
National Livestock
Information System
• epidemiological
control
• food safety
standards
Behind the numbers: knowledge
use and generation is changing
– The knowledge society
– Digital media and the Web
– Search and consultation to generate
knowledge
– Big data
– Social media and virtual collaboration
– The interactive model: problem solving
while generating new knowledge
– The knowledge elite
– Paper to share knowledge
– Research as the key tool to generate
knowledge
– Experimentation
– Creating centers and critical mass
– The linear model: research> knowledge>
adaptation> use of innovations
New issues: Climate smart
agriculture
- The triple win!
- Systems oriented
research (socio-
economic and
biophysical)
- Natural resource
management
- Landscape
approaches
- Data management
and ICT
New issues: the sustainable
global food system
- Soil depletion
and pollution
- Scarcity and
waste
- Stunting and
obesity
- Food safety
- Regulatory
research
- Nudging
approaches
and consumer
science
- From more to
better
A lot of change, can we figure it
out?
From a cloakroom token to a
Toyota logo - 1
NARES
From a cloakroom token to a
Toyota logo - 2
NARES
IT start-ups and
companies
Gene science
mechanization
From a cloakroom token to a
Toyota logo-3
NARES
NGOs,
development
projects
Farmer
organizations
Private sector
IT start-ups and
companies
Gene science
mechanization
The solution: partnerships!!
– Horizontal: to increase
the scientific capacity to
be employed in the
scientific process
– Vertical: to apply science
in problem solving and in
pursuing sustainable
development
++
??
Characteristics of successful
vertical (technology) partnerships
– The initiative may come from the researcher or
from the problem solver
– The goals are clear, unambiguous and
measurable, the timeframe is set
– Both knowledge sets are respected and
appreciated
– Markets drive large part of the change pursued
– Both parties truly gain, financially or mandate-
wise
– The terms of engagement (including budget) are
clear, and enforceable
– The partnership may evolve, if this is clear and
agreed by both
– A drink helps!
The World Bank and agricultural
science and technology
World Bank supported public investments ($millions)
Under implementation In preparation
Agriculture 20,625 7,563
Agricultural
R&D
2,018 494
More than 30% of
projects support R&D
Less than 10% of
projects focus on Ag
R&D
Source: WBG, portfolio indicators
Future WB- CGIAR
collaboration (Africa)
Deepening collaboration, in particular with CGIAR research
programs on
– Climate Change, Agriculture and Food Security (CCAFS)
and on
– Biofortified foods to improve nutrition and public health
– new partnership modalities
– Linking the CGIAR to Country Programs (e.g. Tanzania:
aligning the CGIAR research agenda with national
priorities)
Some (vertical) partnerships models
applied in WB supported projects
NAIP-India: Consortia as
the partnership model
• Led by public or private organizations
• Selected through competitive
processes
• a " helpdesk“ to assist in engagement
• Support to non-traditional partners
• Large proposals ($ 1-4m)
• Knowledge management!
• Start-up issues
• Satisfactory performance
The productive alliance model: four
building blocks (21 projects; $1b; LAC)
Organizing
farmers
Linking
them with a
market
Investing in
production and
marketing Technical
assistance
The productive alliance concept
Attacks several issues in an
integrated approach:
- Lack of negotiation power
- Lack of knowledge
- Lack of money
- Lack of market access
Benefits farmers that:
- Are willing and able to
organize themselves
- Can rely on their land for
their income
- Are sufficiently close to
the market
Powerful and imaginative, or complicated and costly?
Crowdsourcing through competitions and
challenges:
corporations and governments opening up to ideas and insights
from networks and communities
Innovation challenges that have been
“crowdsourced” or “hackathoned”
– What will it take to end poverty?
– Apps for Development
– Apps for climate change issues
– IT for agricultural extension
Agricultural Pull programs: AgResults
– Prizes to reward technological breakthroughs
– Grain storage technology
– Afla Safe maize
– Legume seed supply
– Brucellosis vaccin
– “Pulling” in the private sector
– Very early days, just starting
– Getting the design parameters right!
– How to anticipate innovation pathway?
Evaluating or assessing impact
of research partnerships -1
– Impact assessment has been a contentious subject…….
– Attribution….. Enabling investments….. Length of impact……Counterfactuals……
Parallel initiatives….. Interdependencies…… Rates of Return
– Partnerships require further analysis of contributions, or not?
– Partnerships reflect the complex and interdependent structure of the
innovation system and the sector as a whole
– Learning: Understanding the downstream side of the CGIAR’s work: what
works, what does not work; what is the CGIAR’s comparative advantage; how
can it position itself?
Evaluating or assessing impact
of research partnerships - 2
Best practice has four elements:
– Theory of Change (Kusek and Rist, 2004): (i) inputs, (ii) activities, (iii) outputs,
(iv) outcomes and (v) impacts
– An effective M&E system and follow up during implementation
– Baseline and End line
– Control group and target group
Some evaluators propose randomized control trials
Does the CGIAR have the skill sets to define and apply best practice? How good are
its theories of change?
Evaluating or assessing impact
of research partnerships - 3
Problems specific to
technological change:
– Boundaries: timeframes
are often long and impact
areas are hard to define
– Control groups lose out, or
step out
– Costs of impact
assessment can run up
enormously
So there is a need for some
“second best strategies”
– Inventories of the use of
CGIAR outputs (evidence!)
– Qualities of networks
– Satisfaction among partners
– Case studies to document
and to learn
– Partnerships at country level
to do impact analysis
Conclusions: for the WB science is a
tool and the CGIAR a valued partner
– “ A renewed urgency, and international and national commitment, is
needed to sustain climate-smart agricultural research to deliver needed
science based solutions”. (Shaping a Climate-Smart Global Food System, WBG 2015)
– Incorporate technical assistance in productive alliance and other market
based approaches (Linking farmers to markets through Productive Alliances: an assessment of the
World Bank experience in Latin America)
– “Increase research and development of more nutrient-rich crops” (Shaping the
Global Food system to Deliver Improved Nutrition and Health, WBG 2016)
– Strengthen partnerships with the CGIAR and other knowledge providers
(Shaping a Climate-Smart Global Food System, WBG 2015)
Conclusions: the CGIAR and science
partnerships
– Partnerships respond to:
– the need to increase and broaden scientific capacities, also
because of new sources of change
– From real to virtual centers of excellence
– the need to hook up with the development of the sector”
ensure the application of science in problem solving and
sustainable progress
– The future agenda requires systemic approaches, at the
least in the initial analysis, requiring further partnerships
– Partnerships have become much easier to run then in the
past: communication costs are down, contracting is
easier, there is more knowledge to go around
Some gentle ideas
- Strengthen engagement with systems approaches and social sciences
- Information technology……
- Explore vertical partnerships, e.g., with Africa’s sub-regional organizations
- Ensure that CGIAR centers partner at the invitation of others
- Invest in the science of delivery: comprehensive risk assessments;
selective impact analysis; pilot projects; importance of enabling
environment; feasibility of impact pathways
- Invest in better understanding some prevalent partnerships: community
driven development; innovation platforms, consortia.
- Enabling CGIAR members to partner purposefully for development impact
Thank you!

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Science partnerships in international development today - Willem Janssen

  • 1. Science partnerships in international development today WILLEM JANSSEN LEAD AGRICULTURAL ECONOMIST July 7, 2016
  • 2. Today’s story – The state of science and technology in agriculture – How agricultural science is changing – Implications for reorganizing agricultural science: progress and challenges – The World Bank and agricultural science and technology – Some examples on partnership approaches – Evaluating partnerships – Some gentle conclusions
  • 3. Spending trends: developing countries catching up China, India, and Brazil accounted for half of combined spending in developing countries. Source: ASTI
  • 4. Trends: Private spending, especially in food processing is up Private spending concentrated in developed countries, and growing in Brazil, India, China Source: ASTI
  • 5. Behind the trends: new sources of change in agriculture, often from the private sector – IT: data processing, data management – IT: self driving cars, drones, tractors – IT: market information, climate and weather – Science of genes: genome management, genetic modification, breeding – Nanotechnology and material sciences; storage technologies, equipment – ………… Presentation Title National Livestock Information System • epidemiological control • food safety standards
  • 6. Behind the numbers: knowledge use and generation is changing – The knowledge society – Digital media and the Web – Search and consultation to generate knowledge – Big data – Social media and virtual collaboration – The interactive model: problem solving while generating new knowledge – The knowledge elite – Paper to share knowledge – Research as the key tool to generate knowledge – Experimentation – Creating centers and critical mass – The linear model: research> knowledge> adaptation> use of innovations
  • 7. New issues: Climate smart agriculture - The triple win! - Systems oriented research (socio- economic and biophysical) - Natural resource management - Landscape approaches - Data management and ICT
  • 8. New issues: the sustainable global food system - Soil depletion and pollution - Scarcity and waste - Stunting and obesity - Food safety - Regulatory research - Nudging approaches and consumer science - From more to better
  • 9. A lot of change, can we figure it out?
  • 10. From a cloakroom token to a Toyota logo - 1 NARES
  • 11. From a cloakroom token to a Toyota logo - 2 NARES IT start-ups and companies Gene science mechanization
  • 12. From a cloakroom token to a Toyota logo-3 NARES NGOs, development projects Farmer organizations Private sector IT start-ups and companies Gene science mechanization
  • 13. The solution: partnerships!! – Horizontal: to increase the scientific capacity to be employed in the scientific process – Vertical: to apply science in problem solving and in pursuing sustainable development ++ ??
  • 14. Characteristics of successful vertical (technology) partnerships – The initiative may come from the researcher or from the problem solver – The goals are clear, unambiguous and measurable, the timeframe is set – Both knowledge sets are respected and appreciated – Markets drive large part of the change pursued – Both parties truly gain, financially or mandate- wise – The terms of engagement (including budget) are clear, and enforceable – The partnership may evolve, if this is clear and agreed by both – A drink helps!
  • 15. The World Bank and agricultural science and technology World Bank supported public investments ($millions) Under implementation In preparation Agriculture 20,625 7,563 Agricultural R&D 2,018 494 More than 30% of projects support R&D Less than 10% of projects focus on Ag R&D Source: WBG, portfolio indicators
  • 16. Future WB- CGIAR collaboration (Africa) Deepening collaboration, in particular with CGIAR research programs on – Climate Change, Agriculture and Food Security (CCAFS) and on – Biofortified foods to improve nutrition and public health – new partnership modalities – Linking the CGIAR to Country Programs (e.g. Tanzania: aligning the CGIAR research agenda with national priorities)
  • 17. Some (vertical) partnerships models applied in WB supported projects
  • 18. NAIP-India: Consortia as the partnership model • Led by public or private organizations • Selected through competitive processes • a " helpdesk“ to assist in engagement • Support to non-traditional partners • Large proposals ($ 1-4m) • Knowledge management! • Start-up issues • Satisfactory performance
  • 19. The productive alliance model: four building blocks (21 projects; $1b; LAC) Organizing farmers Linking them with a market Investing in production and marketing Technical assistance
  • 20. The productive alliance concept Attacks several issues in an integrated approach: - Lack of negotiation power - Lack of knowledge - Lack of money - Lack of market access Benefits farmers that: - Are willing and able to organize themselves - Can rely on their land for their income - Are sufficiently close to the market Powerful and imaginative, or complicated and costly?
  • 21. Crowdsourcing through competitions and challenges: corporations and governments opening up to ideas and insights from networks and communities
  • 22. Innovation challenges that have been “crowdsourced” or “hackathoned” – What will it take to end poverty? – Apps for Development – Apps for climate change issues – IT for agricultural extension
  • 23. Agricultural Pull programs: AgResults – Prizes to reward technological breakthroughs – Grain storage technology – Afla Safe maize – Legume seed supply – Brucellosis vaccin – “Pulling” in the private sector – Very early days, just starting – Getting the design parameters right! – How to anticipate innovation pathway?
  • 24. Evaluating or assessing impact of research partnerships -1 – Impact assessment has been a contentious subject……. – Attribution….. Enabling investments….. Length of impact……Counterfactuals…… Parallel initiatives….. Interdependencies…… Rates of Return – Partnerships require further analysis of contributions, or not? – Partnerships reflect the complex and interdependent structure of the innovation system and the sector as a whole – Learning: Understanding the downstream side of the CGIAR’s work: what works, what does not work; what is the CGIAR’s comparative advantage; how can it position itself?
  • 25. Evaluating or assessing impact of research partnerships - 2 Best practice has four elements: – Theory of Change (Kusek and Rist, 2004): (i) inputs, (ii) activities, (iii) outputs, (iv) outcomes and (v) impacts – An effective M&E system and follow up during implementation – Baseline and End line – Control group and target group Some evaluators propose randomized control trials Does the CGIAR have the skill sets to define and apply best practice? How good are its theories of change?
  • 26. Evaluating or assessing impact of research partnerships - 3 Problems specific to technological change: – Boundaries: timeframes are often long and impact areas are hard to define – Control groups lose out, or step out – Costs of impact assessment can run up enormously So there is a need for some “second best strategies” – Inventories of the use of CGIAR outputs (evidence!) – Qualities of networks – Satisfaction among partners – Case studies to document and to learn – Partnerships at country level to do impact analysis
  • 27. Conclusions: for the WB science is a tool and the CGIAR a valued partner – “ A renewed urgency, and international and national commitment, is needed to sustain climate-smart agricultural research to deliver needed science based solutions”. (Shaping a Climate-Smart Global Food System, WBG 2015) – Incorporate technical assistance in productive alliance and other market based approaches (Linking farmers to markets through Productive Alliances: an assessment of the World Bank experience in Latin America) – “Increase research and development of more nutrient-rich crops” (Shaping the Global Food system to Deliver Improved Nutrition and Health, WBG 2016) – Strengthen partnerships with the CGIAR and other knowledge providers (Shaping a Climate-Smart Global Food System, WBG 2015)
  • 28. Conclusions: the CGIAR and science partnerships – Partnerships respond to: – the need to increase and broaden scientific capacities, also because of new sources of change – From real to virtual centers of excellence – the need to hook up with the development of the sector” ensure the application of science in problem solving and sustainable progress – The future agenda requires systemic approaches, at the least in the initial analysis, requiring further partnerships – Partnerships have become much easier to run then in the past: communication costs are down, contracting is easier, there is more knowledge to go around
  • 29. Some gentle ideas - Strengthen engagement with systems approaches and social sciences - Information technology…… - Explore vertical partnerships, e.g., with Africa’s sub-regional organizations - Ensure that CGIAR centers partner at the invitation of others - Invest in the science of delivery: comprehensive risk assessments; selective impact analysis; pilot projects; importance of enabling environment; feasibility of impact pathways - Invest in better understanding some prevalent partnerships: community driven development; innovation platforms, consortia. - Enabling CGIAR members to partner purposefully for development impact