Local knowledge as evidence Mamadou Ndiaye OFADEC Executive DirectorALNAP’s 28th Annual Meeting 5th -6th March 2013 Washington, D.C
IntroductionFor 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?
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?
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)
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.
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?
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?
ConclusionIn a challenging and complex world with a highdemand of proof on resource use (value formoney) evidence . The way forward torelevancelays in:•Put context , affected people in assessmentand analysis.•Rigorous data collection with affected people•Develop systems that can accurately assessinformation flux to demonstrate evidence.