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Africa RISING in East and Southern Africa: Monitoring
and Evaluation Case Study

Ainsley Charles, IFPRI
Africa RISING–CSISA Joint Monitoring and Evaluation Meeting,
Addis Ababa, Ethiopia, 11-13 November 2013
Items
 Motivation: accountability, effectiveness, scaling
up / down
 Current status
 Data landscape
 Specific challenges
 Looking forward
At start-up
 Existing M&E plan not operationalized
 No networks of information sharing for the
purposes of monitoring
 No data sharing protocols
 Best description: nascent
AR: Data landscape
 Administrative data
 Surveys: questionnaires, raw and enhanced datasets, metadata
 Household-level surveys
 Community-level surveys






Publications: working papers, journal articles
Training events
Demonstration days
Progress reports
 Interim
 End-year

 Feed The Future indicator reporting
 Event presentations
Challenges







Work-package structure
Lack of integration
Establishing trust
M&E a shared responsibility
Communication & responsiveness
Example: FtF reporting, Aug-Nov 2013
 Outreach: multiple, diverse
 Indicators: eight (hectares, households, partnerships, technologies); type
and gender disaggregations
 Research proposal element
Looking forward: ARMEIS
 Seamless collection / collation of data
 Archiving & storing data, and making it available
 IT / PMT
 Sharing research ideas and results cross-program (intra- and inter-)

 Analyzing the data
 Descriptive analysis: baseline and follow-up characterizations
 Causal analysis:
 Is AR effective, on average or within specific sub-populations?
 Which components? And what combinations?

 Disseminating results
 Main condition: Effective partnerships and researcher buy-in
Africa Research in Sustainable Intensification for the Next Generation

africa-rising.net

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Africa RISING in East and Southern Africa: Monitoring and evaluation case study

  • 1. Africa RISING in East and Southern Africa: Monitoring and Evaluation Case Study Ainsley Charles, IFPRI Africa RISING–CSISA Joint Monitoring and Evaluation Meeting, Addis Ababa, Ethiopia, 11-13 November 2013
  • 2. Items  Motivation: accountability, effectiveness, scaling up / down  Current status  Data landscape  Specific challenges  Looking forward
  • 3. At start-up  Existing M&E plan not operationalized  No networks of information sharing for the purposes of monitoring  No data sharing protocols  Best description: nascent
  • 4. AR: Data landscape  Administrative data  Surveys: questionnaires, raw and enhanced datasets, metadata  Household-level surveys  Community-level surveys     Publications: working papers, journal articles Training events Demonstration days Progress reports  Interim  End-year  Feed The Future indicator reporting  Event presentations
  • 5. Challenges       Work-package structure Lack of integration Establishing trust M&E a shared responsibility Communication & responsiveness Example: FtF reporting, Aug-Nov 2013  Outreach: multiple, diverse  Indicators: eight (hectares, households, partnerships, technologies); type and gender disaggregations  Research proposal element
  • 6. Looking forward: ARMEIS  Seamless collection / collation of data  Archiving & storing data, and making it available  IT / PMT  Sharing research ideas and results cross-program (intra- and inter-)  Analyzing the data  Descriptive analysis: baseline and follow-up characterizations  Causal analysis:  Is AR effective, on average or within specific sub-populations?  Which components? And what combinations?  Disseminating results  Main condition: Effective partnerships and researcher buy-in
  • 7. Africa Research in Sustainable Intensification for the Next Generation africa-rising.net

Notas do Editor

  1. As with any infancy, it needs nurturing, guidance, teaching, what’s good behavior, what’s not
  2. Seven-nine WPs across three districts in Tz. / ‘Newness’. Why am I being asked for data? Proprietary data. / Work package leaders (raw questionnaires, data capture forms, raw and enhanced datasets) along w/local-level implementers and extensionists; research program leaders (initial reporting); chief scientists (research outputs, publications). / Estimates?