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Open knowledge sharing to support learning in agricultural and livestock research for development projects
Open knowledge sharing to support learning inagricultural 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 – ‘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 farmersWhat’s your I’ll go find Feedmain 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
“Our findings indicate that business as usual feed ‘promotion’ and interventions are not too promising.” Alan Duncan (ILRI)“If you do what you’vealways done, you’ll getwhat you always got.” Mark Twain
ILRI roles in program learning ILRI as a ‘knowledge’ partner – in development projects Learning,M&E, impact assessment Knowledge, expertise, facilitation, CD Evidence, validation, … ILRI as R4D ‘solution-finder’ with partners Participatory, multi-stakeholder … Explicit learning/knowledge focus … ILRI’s ‘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 ‘answers’1. Co-create and co-learn in multi- stakeholder platforms2. Document and mobilize knowledge from the (un)usual people3. Make research knowledge, events, processes and platforms ‘open’4. Engage, engage, engage …
1. Innovation platforms spaces for diverse actors to engage in dialogue, and to jointly identify, learn about and address issues Innovating with communities
2. Documenting (un)usual voices Community perspectives Beyond reports Listen and learn
Most significant Any observablechanges impacts?
Discussion support tools Farmer focus Rapid value chain assessment Participatory ‘FEAST’ feed assessment with communities Technology prioritization with farmers (Techfit)
Discussion support toolsContribution of livelihood activities to household income (as a 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 ‘Working out loud’
Working out loud! “bringing activities out of closed repositories and applications [and events and processes], and pulling them into the open increases the likelihood of learning information earlier.” - 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
Challenges Process versus products Getting to open Finding ‘facilitation’ and process expertise Fear of new ‘tools’; fear of ‘overload’ Making time to learn and share
Contacts KM and KS @ ILRI: Peter Ballantyne ( firstname.lastname@example.org) Participatory video: Beth Cullen ( email@example.com) Innovation platforms: Alan Duncan ( firstname.lastname@example.org) http://infoilri.wordpress.com