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Farmer-managed innovation funds drive multi-stakeholder learning processes Ann Waters-Bayer P ROLINNOVA  / ETC AgriCulture
[object Object],[object Object],[object Object],[object Object],[object Object]
P ROLINNOVA   partners doing action research ,[object Object],[object Object],[object Object],[object Object],Farmer innovators & extension workers at technology fair in Ethiopia
P ROLINNOVA:   P ROmoting  L ocal  I NNOVAtion  in ecologically oriented agriculture and NRM ,[object Object],[object Object],[object Object],Nepalese researchers learn  from farmer innovator
Local Innovation Support Funds (LISFs) ,[object Object],[object Object],[object Object],[object Object]
How does an LISF work? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Main screening criteria similar across piloting countries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],LISF committee screening  applications in South Africa
Focus on M&E: multiple levels of learning ,[object Object],[object Object],[object Object],[object Object]
Example: Current mechanism in Ambo, Ethiopia FMC Local Level Experimenting farmers Pre-screening by local FMC Proposals Proposals FMC Local Level FMC Local Level FMC Local Level FMC Local Level ERSHA hosts Fund Management Committee (FMC) Vetting by FMC FMC that vets proposals consists of people from the 5 sub-districts ERSHA (Ethiopia Rural Self-Help Association): LISF coordinator plays advisory role in vetting committee and in monitoring AgriService Ethiopia (ASE): P ROLINNOVA  Ethiopia Secretariat Legend Money Information People
LISF grants made in 8 pilot countries 2005–10  Country Applications received Percentage approved % female grantees Grant size (USD) Cambodia 193 69% 39% 10 – 100   Ethiopia 118 43% 14% 100 – 300   Ghana 265 64% 27% 30 – 300  Kenya 103 22% >50% 50 – 250  Nepal 63 38% 30% 50 – 750   South Africa 72 35% 53% 700 – 2300  Tanzania 49 78% Mixed groups 500 – 1000   Uganda 124 68% Mixed groups 25 – 120
Use of funds as decided by FMCs ,[object Object],[object Object],[object Object],[object Object],Ethiopian woman compares her local “modern” beehive with introduced one
Results of impact assessment ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Farmer explains his  experiment to MoA staff
Two main models to manage LISF ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Ethiopian farmer used LISF grant to improve his water-lifting innovation
Lessons learnt ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object]
Vision ,[object Object],Vision

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Farmer-managed innovation funds drive multi-stakeholder learning processes.

  • 1. Farmer-managed innovation funds drive multi-stakeholder learning processes Ann Waters-Bayer P ROLINNOVA / ETC AgriCulture
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Example: Current mechanism in Ambo, Ethiopia FMC Local Level Experimenting farmers Pre-screening by local FMC Proposals Proposals FMC Local Level FMC Local Level FMC Local Level FMC Local Level ERSHA hosts Fund Management Committee (FMC) Vetting by FMC FMC that vets proposals consists of people from the 5 sub-districts ERSHA (Ethiopia Rural Self-Help Association): LISF coordinator plays advisory role in vetting committee and in monitoring AgriService Ethiopia (ASE): P ROLINNOVA Ethiopia Secretariat Legend Money Information People
  • 10. LISF grants made in 8 pilot countries 2005–10 Country Applications received Percentage approved % female grantees Grant size (USD) Cambodia 193 69% 39% 10 – 100 Ethiopia 118 43% 14% 100 – 300 Ghana 265 64% 27% 30 – 300 Kenya 103 22% >50% 50 – 250 Nepal 63 38% 30% 50 – 750 South Africa 72 35% 53% 700 – 2300 Tanzania 49 78% Mixed groups 500 – 1000 Uganda 124 68% Mixed groups 25 – 120
  • 11.
  • 12.
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  • 17.

Editor's Notes

  1. Note that if you add information and money flows, the picture gets more complex