Open knowledge sharing to support learning in
agricultural and livestock research for development
                       projects

                 Peter Ballantyne




                            Food Security and Nutrition Network East Africa
                        Regional Knowledge Sharing Meeting, Addis Ababa,
                                                Ethiopia, 11-13 June 2012
Topics

   Why we need learning – ā€˜business as
    usual interventions’ don’t work

   ILRI and more effective development

   Why share and learn – starting points for
    knowledge management?

   Ways to share and learn – approaches we
    use at ILRI
Business as usual – Ask the farmers

What’s your     I’ll go find   Feed
main problem        some
               technology
Business as usual – What’s on the
                   scientists’ shelf
      What feed
     technologies            Planted forage
    have you got?           Urea treated straw
                             Bypass protein

                    OK, let’s try
                      those
ā€œOur findings indicate that
   business as usual feed
      ā€˜promotion’ and
 interventions are not too
        promising.ā€
    AlanĀ DuncanĀ (ILRI)


ā€œIf you do what you’ve
always done, you’ll get
what you always got.ā€
      MarkĀ Twain
ILRI roles in program learning
   ILRI as a ā€˜knowledge’ partner – in
    development projects
     Learning,M&E, impact assessment
     Knowledge, expertise, facilitation, CD
     Evidence, validation, …
   ILRI as R4D ā€˜solution-finder’ with partners
     Participatory, multi-stakeholder …
     Explicit learning/knowledge focus …
   ILRI’s ā€˜open’ research, knowledge and
    learning approach [local to global]
Some starting points
   Together - researchers, communities,
    and development partners - know so
    much …
     How  do we create, document and share this
      knowledge?
     How do we support learning, and share the
      results?
     How do we enrich these processes of
      documenting, learning, and sharing?
     Can we do R4D better?

   To increase the effectiveness of R4D!
Some ā€˜answers’
1.   Co-create and co-learn in multi-
     stakeholder platforms
2.   Document and mobilize knowledge
     from the (un)usual people
3.   Make research knowledge, events,
     processes and platforms ā€˜open’
4.   Engage, engage, engage …
Open knowledge sharing to support learning in agricultural and livestock research for development projects
1. Innovation platforms
             spaces for
              diverse actors
              to engage in
              dialogue, and to
              jointly identify,
              learn about and
              address issues

          Innovating with
            communities
Open knowledge sharing to support learning in agricultural and livestock research for development projects
2. Documenting (un)usual voices
                   Community
                    perspectives
                   Beyond reports
                          Listen and learn
Participatory video
Most significant   Any observable
changes                  impacts?
Discussion support tools

             Farmer focus
           Rapid value chain
            assessment
           Participatory
            ā€˜FEAST’ feed
            assessment with
            communities
           Technology
            prioritization with
            farmers (Techfit)
Discussion support tools
ContributionĀ ofĀ livelihoodĀ activitiesĀ toĀ householdĀ incomeĀ (asĀ aĀ 
                         percentage)

                       6%                             Results in:
                  6%


                                            32%
                                                       Promising feed
                                                            Agriculture
      14%
                                                        interventions that
                                                            Livestock
                                                            Remmitance

                                                        might work
                                                            Labour
                                                            Others
                                                            Business
            20%                                        Better understand
                                   22%
                                                        why usual suspects
                                                        often don’t work
                       Solutions suggested by farmers  Learning from
                        Crops at backyard, around
                                                        communities
                              fence, farm side
                             Reducing the herd size
                             Improving the utilization of
                              straws of different food crops
                             Providing farmers with
                              continuous training
3. Open the knowledge

           Open research

           ā€˜Working out
            loud’
Open planning – events and thinking
ā€˜Open’ events – all the discussions
Open projects – work in progress
Open sharing – gaps, weaknesses …
Open presentations
Open photos
Open reports and repository
Open for feedback
Working out loud!
   ā€œbringing activities out of closed repositories and
    applications [and events and processes], and pulling
    them into the open increases the likelihood of learning
    information earlier.ā€
     - Stowe Boyd:
        http://blog.podio.com/2011/08/01/working-out-loud-make-

   WOL = Observable Work + Narrating Your Work
     Narrating Your Work: journaling what you are doing
      in an open way for others to follow
     Observable Work: creating / modifying / storing
      your work where others can see it, follow it and
      contribute to it, before it is final
5. Engage over time
      Partners,
        collaborators

      Relationships

      Feedback

      Open mindsets

      Social learning

      Social media
Open knowledge sharing to support learning in agricultural and livestock research for development projects
Open knowledge sharing to support learning in agricultural and livestock research for development projects
Challenges
   Process versus products

   Getting to open

   Finding ā€˜facilitation’ and process
    expertise

   Fear of new ā€˜tools’; fear of
    ā€˜overload’

   Making time to learn and share
Contacts
   KM and KS @ ILRI: Peter Ballantyne (
    p.ballantyne@cgiar.org)

   Participatory video: Beth Cullen (
    b.cullen@cgiar.org)

   Innovation platforms: Alan Duncan (
    a.duncan@cgiar.org)

   http://infoilri.wordpress.com

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Open knowledge sharing to support learning in agricultural and livestock research for development projects

  • 1. Open knowledge sharing to support learning in agricultural and livestock research for development projects Peter Ballantyne Food Security and Nutrition Network East Africa Regional Knowledge Sharing Meeting, Addis Ababa, Ethiopia, 11-13 June 2012
  • 2. Topics  Why we need learning – ā€˜business as usual interventions’ don’t work  ILRI and more effective development  Why share and learn – starting points for knowledge management?  Ways to share and learn – approaches we use at ILRI
  • 3. Business as usual – Ask the farmers What’s your I’ll go find Feed main problem some technology
  • 4. Business as usual – What’s on the scientists’ shelf What feed technologies Planted forage have you got? Urea treated straw Bypass protein OK, let’s try those
  • 5. ā€œOur findings indicate that business as usual feed ā€˜promotion’ and interventions are not too promising.ā€ AlanĀ DuncanĀ (ILRI) ā€œIf you do what you’ve always done, you’ll get what you always got.ā€ MarkĀ Twain
  • 6. ILRI roles in program learning  ILRI as a ā€˜knowledge’ partner – in development projects  Learning,M&E, impact assessment  Knowledge, expertise, facilitation, CD  Evidence, validation, …  ILRI as R4D ā€˜solution-finder’ with partners  Participatory, multi-stakeholder …  Explicit learning/knowledge focus …  ILRI’s ā€˜open’ research, knowledge and learning approach [local to global]
  • 7. Some starting points  Together - researchers, communities, and development partners - know so much …  How do we create, document and share this knowledge?  How do we support learning, and share the results?  How do we enrich these processes of documenting, learning, and sharing?  Can we do R4D better?  To increase the effectiveness of R4D!
  • 8. Some ā€˜answers’ 1. Co-create and co-learn in multi- stakeholder platforms 2. Document and mobilize knowledge from the (un)usual people 3. Make research knowledge, events, processes and platforms ā€˜open’ 4. Engage, engage, engage …
  • 10. 1. Innovation platforms  spaces for diverse actors to engage in dialogue, and to jointly identify, learn about and address issues Innovating with communities
  • 12. 2. Documenting (un)usual voices  Community perspectives  Beyond reports Listen and learn
  • 14. Most significant Any observable changes impacts?
  • 15. Discussion support tools Farmer focus  Rapid value chain assessment  Participatory ā€˜FEAST’ feed assessment with communities  Technology prioritization with farmers (Techfit)
  • 16. Discussion support tools ContributionĀ ofĀ livelihoodĀ activitiesĀ toĀ householdĀ incomeĀ (asĀ aĀ  percentage) 6% Results in: 6% 32%  Promising feed Agriculture 14% interventions that Livestock Remmitance might work Labour Others Business 20%  Better understand 22% why usual suspects often don’t work Solutions suggested by farmers  Learning from  Crops at backyard, around communities fence, farm side  Reducing the herd size  Improving the utilization of straws of different food crops  Providing farmers with continuous training
  • 17. 3. Open the knowledge  Open research  ā€˜Working out loud’
  • 18. Open planning – events and thinking
  • 19. ā€˜Open’ events – all the discussions
  • 20. Open projects – work in progress
  • 21. Open sharing – gaps, weaknesses …
  • 24. Open reports and repository
  • 26. Working out loud!  ā€œbringing activities out of closed repositories and applications [and events and processes], and pulling them into the open increases the likelihood of learning information earlier.ā€ - Stowe Boyd: http://blog.podio.com/2011/08/01/working-out-loud-make-  WOL = Observable Work + Narrating Your Work  Narrating Your Work: journaling what you are doing in an open way for others to follow  Observable Work: creating / modifying / storing your work where others can see it, follow it and contribute to it, before it is final
  • 27. 5. Engage over time Partners, collaborators Relationships Feedback Open mindsets Social learning Social media
  • 30. Challenges  Process versus products  Getting to open  Finding ā€˜facilitation’ and process expertise  Fear of new ā€˜tools’; fear of ā€˜overload’  Making time to learn and share
  • 31. Contacts  KM and KS @ ILRI: Peter Ballantyne ( p.ballantyne@cgiar.org)  Participatory video: Beth Cullen ( b.cullen@cgiar.org)  Innovation platforms: Alan Duncan ( a.duncan@cgiar.org)  http://infoilri.wordpress.com