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Dynamic networks of interactive learning and agricultural research for development:  three critical roles for agricultural advisory services By: Arno Maatman, Director ICRA
Co-Authors Mariana Wongtschowski, KIT Willem Heemskerk, KIT Nour Sellamna, ICRA Kristin Davis, GFRAS Silim Nahdy, AFAAS Dan Kisauzi, AFAAS Ochola Washington, RUFORUM
Innovation (1) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Innovation (2)
Situation (1) Strategic  Applied Research Extension Producers Research policy Demand articulatio n Farmer to Farmer extension through “model” farmers International (donor&) research networks Impact analysis
Situation (2) Strategic  Applied Research Advisory Producers & Agriculturally-linked entrepreneurs Research policy Demand articulatio n Farmer to Farmer exchange .. POs International networks Interactive learning value chain actors Impact analysis
Situation (3) ,[object Object],[object Object],[object Object],[object Object]
Situation (4) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Making a difference (1) ,[object Object],[object Object],[object Object],[object Object],From: Hawkins  et al.  (FARA, white paper on IAR4D)
Making a difference (2) Research Actors (Producers/ SMEs) Advisory services Innovation clusters Innovation network
Making a difference (3) ,[object Object],[object Object],[object Object],[object Object]
Challenge
Elements (1) Step by step Top sectors Priority areas
Elements (2) Understanding the dynamics of innovation Novelty  Niche  Regime Landscape
Elements (3) Invest in social capital 2 innovate
Promising initiatives (1) Networks of local level innovation & business clusters AC 2 T Agency Competency Connectedness Trust
Promising initiatives (2) Institutional development Individuals Organisations Institutions K S A Local – national - regional
Thank you

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Dynamic Networks of Interactive Learning and Agricultural Research for Development: Three Critical Roles for Agricultural Advisory Services

  • 1. Dynamic networks of interactive learning and agricultural research for development: three critical roles for agricultural advisory services By: Arno Maatman, Director ICRA
  • 2. Co-Authors Mariana Wongtschowski, KIT Willem Heemskerk, KIT Nour Sellamna, ICRA Kristin Davis, GFRAS Silim Nahdy, AFAAS Dan Kisauzi, AFAAS Ochola Washington, RUFORUM
  • 3.
  • 5. Situation (1) Strategic Applied Research Extension Producers Research policy Demand articulatio n Farmer to Farmer extension through “model” farmers International (donor&) research networks Impact analysis
  • 6. Situation (2) Strategic Applied Research Advisory Producers & Agriculturally-linked entrepreneurs Research policy Demand articulatio n Farmer to Farmer exchange .. POs International networks Interactive learning value chain actors Impact analysis
  • 7.
  • 8.
  • 9.
  • 10. Making a difference (2) Research Actors (Producers/ SMEs) Advisory services Innovation clusters Innovation network
  • 11.
  • 13. Elements (1) Step by step Top sectors Priority areas
  • 14. Elements (2) Understanding the dynamics of innovation Novelty Niche Regime Landscape
  • 15. Elements (3) Invest in social capital 2 innovate
  • 16. Promising initiatives (1) Networks of local level innovation & business clusters AC 2 T Agency Competency Connectedness Trust
  • 17. Promising initiatives (2) Institutional development Individuals Organisations Institutions K S A Local – national - regional

Editor's Notes

  1. This paper has much to do with me: I started as R … food sec. policies / risk mgt in agric. Sector  agribusiness devt. We look here at innovation and R – and in particular applied research – to support innovation.
  2. Interaction, negotiation and learning are key factors in innovation.
  3. Innovation = complex & continuous process; tomato producers – competing Gh/ BF; several innovation challenges: seed supply; fertilization to reduce water content; organizational issues – to coordinate supply; to negotiate with the market queens; market analysis & competitive intelligence; new channel options – processing/ drying  local markets
  4. 25 years ago – I was based in BF .. Among other things as advisor to the national research org INERA  innovation then was perceived relatively easy [by me at least]  the most significant flows of info / knowledge/ ideas  R to Ext  producers
  5. Today .. Much more complex picture (and this is even a rude simplification): overlaps / private sector = producers + entrepreneurs
  6. Research .. Despite trends / reversals in trends etc .. Low researcher – farmer ratio; … (we have discussed this extensively); in addition agric research is not the unique domain of the NARI/ SROs and CG centers  arrival of universities / university outreach / action-research programs.
  7. Public extension went down in the 80s / 90s; NGOs filled in some of the gaps; POs are increasingly important. Nonetheless: …
  8. ICRA has been involved in training/ coaching of professionals in ARD also called IAR4D for over two decades; IAR4D is championed by FARA as well  together with FARA we have produced a white paper describing, among other things several examples / cases of R4D .. Not all perfect, but at least with a clear intention to make a difference. The difference is in 4 principles:
  9. AR4D involves the strategic positioning of R in innovation networks (formal/ informal) …
  10. Researchers cannot do everything alone: in our paper we argue that in order to make AR4D work – AAS play crucial complementary roles.
  11. The challenge is big .. For innovation to be nurtured and to go to scale – several elements of a complex puzzle have to be put together.
  12. However .. [picture is not readable on purpose] … while it is important to have an idea of the puzzle .. Innovation systems are best built step by step.
  13. Public private roles will / may change over time
  14. Important: innovation relies on social capital .. Pro-poor innovation  requires reducing the barriers to entry for interactive learning ! Public funding remains critical ..
  15. There is a lot happening …
  16. The argument is that R should aim to become an even more relevant/ strategic partner of producers/ entrepreneurs etc. in learning networks … [There still is room for improvement here  Sissokho ; why looking at donors; instead focus on the “client” …]