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Alan Duncan , Beth Cullen, Aster Grbrekristos , Stefan Shultz

Africa RISING Ethiopian Highlands Research Component 1 - Characterization. Alan Duncan , Beth Cullen, Aster Grbrekristos , Stefan Shultz Africa RISING-EH Planning meeting 13-14 Feb 20113. Partners.

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Alan Duncan , Beth Cullen, Aster Grbrekristos , Stefan Shultz

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  1. Africa RISING Ethiopian Highlands Research Component 1 - Characterization Alan Duncan, Beth Cullen, Aster Grbrekristos, Stefan Shultz Africa RISING-EH Planning meeting 13-14 Feb 20113

  2. Partners • ILRI (lead): Expertise in the development and application of a wide range of participatory methods (e.g. for characterisation of resource availability and utilisation and stratification of households within communities); Gender analysis (identification of gender-disaggregated constraints and opportunities and identification of gender-equitable solutions). • CIP: Past experience of community situation analysis and action research planning. • ICRAF: Resource mapping and formalisation of indigenous knowledge and practises. • National Partners: Community engagement; past experience in the use of diagnostic approaches and tools.

  3. Endogenous Driver of Innovation Exogenous Research component 4 Research component 1 Research component 1 Review of best technology / management options System characterisation and analysis System characterisation and analysis “Action research” Community characterisation and stratification Community characterisation and stratification Participatory problem identification and gap analysis Participatory problem identification and gap analysis Validate technologies / management practices Ex ante modelling / impact assessment Inventory of current technologies / practices and their sources Inventory of current technologies / practices and their sources Adaptation and integration of technologies / management practices Research component 3 Research component 2 Markets and wider stakeholders Community institutions and knowledge exchange Identified market opportunities Research component 5 Biophysical and socio-economic benchmarks Outputs to outcomes Characterisation of specific value chains (actors and links) Scaling: to be developed Community knowledge exchange groups established Functioning multi-stakeholder platforms Opportunities for scaling innovation (endogenous and exogenous)

  4. Key deliverables • Socio-economic community characterization. • Characterisation of bio-physical environment. • Household stratification (against socio-economic and biophysical factors) • Gender analysis. • Inventory of current practices / technologies and their sources. • Participatory problem identification and gap analysis.

  5. Some issues • Household typologies

  6. Household typologies • Each household is different • For intensification strategies – one size does not fit all • Can we find ways of characterizing households that will lead to better tailored interventions? • What is the minimum dataset needed to do this?

  7. Gender • Women and men play different roles in the household economy and reap different benefits • How do we take account of this in designing sustainable intensification strategies?

  8. Research Questions • What is the minimum dataset (biophysical and socio-economic, quantitative and qualitative) required for effective household characterisation and stratification and to meet the needs of monitoring progress towards AR-EH / FtF development outcomes? • What is the best approach to mainstreaming household gender considerations so that they inform the selection of technologies and practices for sustainable intensification? • What is the best way of conducting gap analysis and problem identification for a household based programme of action research for SI?

  9. Gap analysis/problem identification • Different approaches to designing intervention strategies

  10. Approach – socioeconomic characterization • Participatory household characterisations. • Basic socio-economic survey of quantitative indicators. • SLATE • AKT5 • baselines for future M&E

  11. Approach – biophysical envtcharacterization • Identification of a suite of biophysical indicators for M&E • Household-level sampling frame across the AR-EH sites. • GIS-based approaches for strengthening these data. • Baselines for future M&E

  12. Approach – Household stratification • Livelihoods asset for household typologies • Participatory approaches to interpreting and strengthening asset-based strata. • Needs assessment for more detailed, household survey based stratifications.

  13. Approach – Gender analysis • Study of gender differentiation • Identification of potential entry points based on strengthening household management teams.

  14. Approach – inventory of current technologies and their source • Participatory study of current practices and technologies including mapping of uptake pathways

  15. Approach – Participatory problem identification and gap analysis • Livestock production and management practises including the feed resource base (FEAST / Techfit). • Future visions, challenges and solutions. • Trade-offs analysis. • Criteria that might influence applicability, performance and adoption of technologies and management practices. • Feed into ex ante impact assessments conducted under RC5.

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