United States Agency for International Developmen

Azzarri, Carlo

Haile, Beliyou

Shee, Apurba

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PicturesKey partnersIITA and ILRI: Africa RISING  implementing partnersIFPRI: Africa RISING M&E leadThis document is licensed for use under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International LicenseNovember 2016Key contactsCarlo Azzarri: c.azzarri@cgiar.orgBeliyou Haile: b.haile@cgiar.orgApurba Shee: a.shee@cgiar.orgInternational Food Policy Research Institute Monitoring and Evaluation (M&E) in Systems Research: Experience from Africa RISING1. Background on Africa RISING M&E system • Complex sets of tangible and intangible sustainable intensification (SI)innovations• Different agro-ecologies; multiple dimensions (with possibletradeoffs), scales, and partners; context-specific solutions• Demand-driven, participatory approach with self-selected farmers• Relatively large agronomic and socioeconomic data needs• Presence of multiple constraints -- cost (financial and human),confidentiality, incentives, institutional challenges• Making research outputs and data searchable, accessible, interoperable, and reusable• Improving accountability, efficiency, collaboration, and  impact; reducing data redundancy and respondent burden• Multi-component M&E system• Program-wide data management plan and guide for monitoring data requirement • Web-based project mapping and monitoring tool (PMMT), with mapping and data entry applications • Beneficiary and technology tracking tool (BTTT) to uniquely identifyparticipating households, while ensuring confidentiality• Online data cataloguing (CKAN), confidential data with a fixed embargo period• Consistent, harmonized, extensive, comprehensive multi-topic household and community surveys (ARBES) for cross-country analysis across Malawi, Tanzania, Ghana, Mali, Ethiopia• Analysis of plot-, household-, and landscape-level (geo-spatial) data• Indicators of sustainable intensification along five dimensions:  economic, productivity, social, human, and environmental• A quasi-experimental evaluation design, summarized below, to establish attribution (both direct and indirect) 2. Key elements of the M&E system  3. Evaluation within Africa RISING  6. Lessons learned     • Compliance to data management guidelines• Incentives to collect, hold and share sectorial data• Connectivity challenges in the field, overcome by combiningweb-based monitoring tools with offline options• Operationalization of household typologies to improve targeting• Increased field presence of monitoring specialists• First results: 1. systematic targeting of households mightjeopardize internal and external validity; 2. differential agro-economic responses found depending on agro-ecologies4. Typology of farm households: Ghana example • Type 1: Female-headed with low to medium endowment • Type 2: Younger with medium endowment • Type 3: Medium to high endowment with cattle• Type 4: High productivity and high endowment• Wikipage: http://africa-rising.wikispaces.com/• Data repository: http://data.ilri.org/portal/group/africarising• Web-based project mapping tool: http://apps.harvestchoice.org/africarising/• Cross-country baseline evaluation surveys: https://www.ifpri.org/blog/five-comparable-country-datasets-africa-rising-now7. Some resources      5. Dimensions of SI: Malawi  example   

Monitoring and Evaluation (M&E) in Systems Research: Experience from Africa RISING

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Monitoring and Evaluation (M&E) in Systems Research: Experience from Africa RISING

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