Presentation from a national dissemination workshop in Nairobi on 22 March 2010, for the STEPS Centre's project on environmental change and maize innovation in Kenya.
To find out more about our maize work, visit www.steps-centre.org/ourresearch/crops,% 20kenya.html
7. We are using maize as a ‘window’ though which to analyse the dynamics of environmental, social and technical change in ‘innovation systems’ in Kenya
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10. Field and Panel Data Sites Sakai, Mbooni East – Low Potential Likuyani, Kakamega – High Potential Ngecha, Nakuru – Medium Potential
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17. Multicriteria Mapping (MCM): The Interview Process 2. Develop a set of criteria 5. Reflect on outcome 1. Discuss pathways 3. Score pathways under each criterion; optimistic & pessimistic scores to reflect uncertainty 4. Assign weight to each criterion
19. Typology of Pathways Low Maize High Maize Low- External Input High- External Input
20. Typology of Pathways 1 – Alternative dryland staples for subsistence 2 – Alternative dryland staples for market 3 – local improvement of local maize 5 – Assisted seed multiplication of maize 4 – Assisted seed multiplication of alternative dryland staples 6 – Individual high-value crop commercialization 7 – Group-based high-value crop commercialization 8 – Commercial delivery of new DT maize varieties 9 – Public delivery of new DT maize varieties See Briefing Paper 3 for details Low Maize High Maize Low- External Input High- External Input
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Notas do Editor
Some key general features and dimensions of the STEPS Centre’s work that shape our overall ‘take’
Multicriteria mapping is one such method that can be used to ‘open up’ the decision making process. MCM is a software-based interview technique that incorporates both qualitative and quantitative components. Essentially it provides a way to characterise an array of decision ‘options’ and then document their respective strengths and weaknesses under evaluative ‘criteria’. An MCM interview has 5 key stages. Participants are given a set of options about the issue at hand. These are discussed and a set of evaluative criteria are then developed. The criteria are used to both quantitatively and qualitatively evaluate the different options. So quantiatively assessing the relative performance of different options by giving pessimistic and optimistic scores to each option under the different criteria, and qualitatively giving the reasons for each of these assessments. It is here that we see how the ways in which the criteria, which themselves reflect a particular set of values and framings, really impact on the assumptions brought to bear on the assessment of the options themselves. After the evaluation a weight is assigned to each criterion, allowing participants to express different priorities given to the criteria. Finally, the final rankings of the options are discussed and reflected on. At the end of an interview, a rich picture (or ‘map’) of the performance of different decision options emerges that shows the conditionalities, sensitivities, and framings associated with each unique interviewee’s perspective on the various decision options at hand. Thus, MCM can serve as a heuristic tool to explore relationships between technological and socio-political factors in decision-making [Shares similar characteristics to other Multicriteria analysis techniques, but is distinct in that its aim is not to identify a single, normatively ‘best’ decision, but instead to identify the different underlying reasons, or criteria, that influence people’s perceptions of different options (Stirling and Mayer, 2001).]