Livestock and Fish monitoring, evaluation and learning framework
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Transcript of Livestock and Fish monitoring, evaluation and learning framework
Livestock and Fish monitoring, evaluation and learning framework
Keith Child
Livestock and Fish Monitoring, Evaluation and Learning planning meeting, Nairobi, 27-28 November 2013
Agenda
1. MEL Process and Framework Goals
2. Parts of the Framework
Purpose of the MEL Framework
A comprehensive, yet concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and by whom
• Provides a common vision of what an M&E system will look like
• Provides a benchmark for measuring progress
• Provides a mandate and set of responsibilities
What makes a good framework?
Clarity of Purpose: a ‘framework’ not an instruction manual;A Compelling Vision: how will we achieve success;Relevant: Appropriate to the CRPEconomical: Achievable at an affordable costConcision: as long as necessary, as short as possible;Professional: must look and read like a formal document.
Background
• November 2012: Incomplete rough draft
• June 2013: Senior Scientist (Impact and Learning)
• July-August: MEL Framework consultations
– 4 formal meetings, many informal consultations• Impasse: RBM vs. Hybrid visions of the MEL Framework
• September 2013: Plan to finalize Framework presented to PPMC
• November 2013: Presentation of draft Framework to MEL Meeting
Forward
• Post MEL Meeting revisions to transform draft into Working Paper
• December 2013: Presentation to PPMC in Tanzania
• Post PPMC Meeting revisions to transform Working Paper into Finalized Framework
• April 2014: Presentation to PPMC in Penang for Finalization
Proposed Content of MEL Framework
MEL Framework Introduction
• Introduction to Framework
• Background: CGIAR and Livestock and Fish
• Challenges
• Structure of MEL Framework
• Integrated Phases
• Attribution versus Contribution
Integrated Phases
Implementation Phases and Corresponding MEL Research Questions
Dev
elop
men
t Ph
ase
(100
,000
s be
nefic
iari
es)
Scal
ing-
Out
Ph
ase
(mill
ions
of
bene
ficia
ries
)
Rese
arch
Pha
se
(10,
000s
be
nefic
iari
es)
Ong
oing
Fu
nctio
ns
Years 12-20 (SLOs)Years 5-8 (Progress towards IDOS) Years 8-12 (IDO data collection)
What Works? Should it work?
How and Why did it work?For whom will it work?
What level of attribution can be claimed?
How to Scale-Up?Will it continue to work?
Will it work somewhere else?How has implementation contributed to the results?
Are Program benefits sustainable?
How to Scale-Out?Is the rationale for why it worked still sound?
Can outputs be transferred/generalized to different settings?
How have innovations been adapted to local contexts?
International Public Goods
Program Monitoring
Attribution versus Contribution
• Attribution: whether or not and how much of a particular change can be attributed to an intervention
• Contribution: whether or not and how an intervention contributes to the change
Body: 5 Components
1. Organizational Perfomance
2. Learning and Reflection
3. Outcome and Impact Monitoring
4. Knowledge Management
5. Research Agenda
Component One: Organizational Performance
• Evaluation
– CRP Independent External Evaluations– CRP Commissioned External Evaluations– Subtheme and Project Evaluations
• Routine Portfolio Monitoring
• Performance Indicator Matrix
Evaluation Strategy• Nested approach in which lower-level evaluations feed
into and inform higher level evaluations
Project Evaluations
• Guidelines for type and frequency determined by total value of project over lifetime
Component Two: Learning and Reflection
• Theory of Change and Impact Pathways
– Evidence Base
• Best Bet Selection Criteria
• Implementation Theory
• Ex ante Impact Assessments
• Ex post Impact Assessments
Theory of Change
• Calls for theory based approach that relies on development of explicit ToC for each VC, by CRP Phase:
– Identify critical linkages between program inputs and impacts;
– Identify critical conditions for success (e.g., contextual factors such as implementation theory, policy and economic conditions, etc.);
– Identify alternative explanations of change;
– Facilitate the identification of research questions that need to be tested in order to confirm the original program ToC.
• Step from ‘does it work’ to understanding what it is about the program that makes it work
Component Three: Outcomes and Impact Monitoring
• Development Indicators
– Harmonizing within the CRP and CGIAR• Baselines and Benchmarking
• Targeting
• International Public Goods
Baselines and Benchmarking
• Baselines will be conducted for specific donor-funded projects, including projects that are to be piloted during the Research Phase.
• IDO data will be collected through ‘Benchmarking’
– benchmarking exercises in which the best possible data will be used in order to establish estimated values for IDO indicators; in some cases, this may involve statistical modelling
Component Four: Knowledge Management
• Information Management
– CRP Monitoring Information System
– Performance Indicator Matrix
– Development Indicator Bank
– Evidence Base
• Communications
Component Five: Research Agenda
• Project Research (e.g., epIAs, project evaluations, project ToCs, etc.)
– Responsibility of Project Managers
– Funded by projects
• Program Research (e.g., epIEs, IEEs, CCEEs, VC ToCs, etc.)
– Responsibility of MEL Steering Committee and CRP Management
– Funded by CRP
• Research Quality and Ethics
Conclusion
• The MEL Team
– MELCoP
• Appendix One: Terminology
• References
CGIAR is a global partnership that unites organizations engaged in research for a food secure future. The CGIAR Research Program on Livestock and Fish aims to increase the productivity of small-scale livestock and fish systems in sustainable ways, making meat, milk and fish more available and affordable across the developing world.
CGIAR Research Program on Livestock and Fish
livestockfish.cgiar.org