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Partnerships for
policy research impact
Karen Brooks,
PIM Director
Partnering for Impact
IFPRI-European Research Collaboration for
Improved Food and Nutrition Security
November 25, 2013 - Brussels
Four types of partners

Research

Implementation

Outreach

Funding
Core principles
•
•
•
•

Foster cross-Center research
Collaborate with advanced research institutes
Systematically look for synergies with other CRPs
Use decision tree for deliberate selection of
partners
• Identify champions early
• Partner with local organizations and build their
capacity
• Track partnerships and the relevance of PIM’s work
to partners as part of PIM M&E system
The PIM decision tree
• Why is the topic important? What is the demand
for output?
• What action might result?
• Is the action politically feasible?
• Who will undertake the action?
• What information do they need, and when?
Learning Network
Measuring Distortions
• Several separate initiatives to measure weaknesses and
distortions in a country’s incentive environment relative
to other countries
• Collaborative effort between PIM, OECD, FAO, IADB, and
WB to form a learning network
• Improving country coverage for non-OECD countries and
closing data gaps
• Facilitating sharing of methodologies and providing peer
review of results

Towards improved and harmonized methodologies
to measure distortions in incentive environment
Alignment with Regional Priorities
Mapping Investments in Africa
• Planning and implementation of investments requires
geo-spatial mapping of existing initiatives
• Mapping ongoing activities under CRPs, SRO
programs, and national investment plans in Africa (Horn
of Africa, then ECOWAS and CORAF countries)
• Contribution to development of New Alliance for Food
Security and Nutrition’s Technology Platform for Africa
• In support of Comprehensive African Agricultural
Development Programme

Geospatial tools to promote technology uptake
and alignment of investments in Africa
Active Engagement with Policymakers
Program for Biosafety Systems
• Demand driven policy research to support decisionmaking (e.g., support to Uganda Biosafety Bill Process)
• Broad-based coalition to effect policy change
(government/biosafety authorities, private
sector, academia, NGOs, foundations, bi- and multilateral donors, end-users)
• Long-standing engagement with local partners
(e.g., Uganda National Council of Science and
Technology)
• Capacity building – Ownership in the policy process
Recognized record of contributions to development
of workable regulatory systems in 10 countries
Capacity Building
Developing Sex-Disaggregated Data
• Developing guidelines for collecting and analyzing data
for gender analysis in agriculture
• Working with statistical agencies (FAO, WB, national
agencies) to include sex disaggregation into survey
instruments in order to develop new gender data
• UN Women and UN Statistics are using PIM Strategic
Gender Research on data in pilot project on collecting
sex-disaggregated asset data
• Building capacity of other CRPs

Contribution towards closing
the gender knowledge gap
Looking ahead
• Reach out to major institutional partners with
complementary programs
• Strengthen partnerships with universities in developing
tools
• Enhance alignment of PIM research with programs of
SROs
• Enhance capacity through using web-based training
materials
• Strengthen complementarity between analytical
strength of PIM and implementation experience of
governments and development partners to design
innovative programs

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Partnership for Impact Event_Brussels-Brooks

  • 1. Partnerships for policy research impact Karen Brooks, PIM Director Partnering for Impact IFPRI-European Research Collaboration for Improved Food and Nutrition Security November 25, 2013 - Brussels
  • 2.
  • 3. Four types of partners Research Implementation Outreach Funding
  • 4. Core principles • • • • Foster cross-Center research Collaborate with advanced research institutes Systematically look for synergies with other CRPs Use decision tree for deliberate selection of partners • Identify champions early • Partner with local organizations and build their capacity • Track partnerships and the relevance of PIM’s work to partners as part of PIM M&E system
  • 5. The PIM decision tree • Why is the topic important? What is the demand for output? • What action might result? • Is the action politically feasible? • Who will undertake the action? • What information do they need, and when?
  • 6. Learning Network Measuring Distortions • Several separate initiatives to measure weaknesses and distortions in a country’s incentive environment relative to other countries • Collaborative effort between PIM, OECD, FAO, IADB, and WB to form a learning network • Improving country coverage for non-OECD countries and closing data gaps • Facilitating sharing of methodologies and providing peer review of results Towards improved and harmonized methodologies to measure distortions in incentive environment
  • 7. Alignment with Regional Priorities Mapping Investments in Africa • Planning and implementation of investments requires geo-spatial mapping of existing initiatives • Mapping ongoing activities under CRPs, SRO programs, and national investment plans in Africa (Horn of Africa, then ECOWAS and CORAF countries) • Contribution to development of New Alliance for Food Security and Nutrition’s Technology Platform for Africa • In support of Comprehensive African Agricultural Development Programme Geospatial tools to promote technology uptake and alignment of investments in Africa
  • 8. Active Engagement with Policymakers Program for Biosafety Systems • Demand driven policy research to support decisionmaking (e.g., support to Uganda Biosafety Bill Process) • Broad-based coalition to effect policy change (government/biosafety authorities, private sector, academia, NGOs, foundations, bi- and multilateral donors, end-users) • Long-standing engagement with local partners (e.g., Uganda National Council of Science and Technology) • Capacity building – Ownership in the policy process Recognized record of contributions to development of workable regulatory systems in 10 countries
  • 9. Capacity Building Developing Sex-Disaggregated Data • Developing guidelines for collecting and analyzing data for gender analysis in agriculture • Working with statistical agencies (FAO, WB, national agencies) to include sex disaggregation into survey instruments in order to develop new gender data • UN Women and UN Statistics are using PIM Strategic Gender Research on data in pilot project on collecting sex-disaggregated asset data • Building capacity of other CRPs Contribution towards closing the gender knowledge gap
  • 10. Looking ahead • Reach out to major institutional partners with complementary programs • Strengthen partnerships with universities in developing tools • Enhance alignment of PIM research with programs of SROs • Enhance capacity through using web-based training materials • Strengthen complementarity between analytical strength of PIM and implementation experience of governments and development partners to design innovative programs