1. Local knowledge as evidence
Mamadou Ndiaye
OFADEC Executive Director
ALNAP’s 28th Annual Meeting 5th -6th March 2013 Washington, D.C

2. Introduction
For years this sector is struggling to
demonstrate relevance and costs
effectiveness.
It seems affected population has a role play .
Affected population needs, expectations and
values seem critical in evidence
demonstration.
Can the sector survive the evidence demand?

3. Questions
• I s the sector equipped to address the high
demand of evidence?
• Can we expect help from affected people ?
• Where affected people sit in evidence
gathering?
• What stop us using local Knowledge?
• How we can we overcome those questions?

4. Is there an added value # local
knowledge in evidence gathering?
• Local ownership (design implementation
evaluation).
• Gain of time in implementation /cost reduction
/Adaptation to needs.
• Richness in problem analysis.
• Accountability to affected population
(art 9 c. conduct)

5. Local & Evidence

6. What is an evidence
• Evidence is comprised of research findings
derived from the systematic collection of data
through observation and experiment and the
formulation of questions and testing of
hypotheses.

7. Evidence: affected people expects,
concerns, and values
• Do they matter in evidence search ?
• Are there difficulties to integrate in our data
collections, observations, listening exercises ?
• At the end of the day do the delivery respond
to needs and expectations? (Quality )
• Who can better prove affected people
satisfaction?

9. The challenges
• “Everything that can be counted does not
necessarily count; everything that counts
cannot necessarily be counted” A. Einstein
• Do data tell all or part of the story?
• Do collection of statistics to review and
understand is the answer?
• Do we have systems in place that can
accurately assess the information?
• Do context integration in analysis help?
• Beneficiaries role in data collection?

10. Conclusion
In a challenging and complex world with a high
demand of proof on resource use (value for
money) evidence . The way forward to
relevance
lays in:
•Put context , affected people in assessment
and analysis.
•Rigorous data collection with affected people
•Develop systems that can accurately assess
information flux to demonstrate evidence.

11. Thanks you