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Researcher’s role and tools in innovation process
Katrien, Pablo, Santiago, Lieven, Bernard, Pablo, Bruno, Catherine, Laurence, Yigezu
Roles:
Researcher being part of the research system
Where does the researcher position himself (facilitating vs observing)
Research in development vs research for development
Institutional arrangements are the framework of how you see research and development – researcher too central in innovation process
Are researchers flexible enough to address problems that come up? You are locked in yourlog(lock)frame / can researchers still come with their own ideas or demand-driven?
Actors can use researchers to get to their goal – pass their message
Impact pathways -> a lot of trade-offs / equity neutral interventions/ gender neutral interventions -> can be a tool for theory of change
Tools:
Translating tools in practical things that people can use otherwise same people getting better
Tool is a means to achieve sth, but need to be trained, what do we want to achieve?
Theory of change in industry, but what about agriculture? There is commercial agriculture at one end but an enormous group at the other end.
Trade-off analysis is a process, you learn a lot during the process. Careful not to reflect too much. Trial and error, engage with actors
Knowledge without access to the tools you need can be very frustrating
People are adopting but their livelihoods are not improving
Communication:
How do you communicate to people that are not receptive, are not interested in the intellectual process
You need to know what is driving their behavior
Trade-offs -> conflicting objectives at different scales
We need to make knowledge transparent, formalize knowledge
Innovation processes: you have to start all over again in a new location
Engage actors in the process if you want to communicate
Long time process -> 10 years (GATES) other donors dependent on politics / reforms og CGIAR
Communication tools
Material that is useful for farmers – shamba shake-ups
Our role is not training the farmers but training the trainers
Communicating with people that are responsible for implementing the policy not only the policy makers
Work with people that are interested in making the change (ex. Rwanda, decisions makers are often scientists)
Complex is cool vs. Getting lost in complexity: for communication, simplify but not simplistic
Blue sky
Changing the scale of research and experimentation – experimental economy – randomized control trials
Mapping innovation processes
Study the research process – learning from what we are doing – impact pathways
Analyse if trade-off analysis is doing something for people