Decision Analysis to Support Agriculture for Nutrition

Research supporting development decisions related to
agriculture for nutrition often fails to consider the range of
ecological, socioeconomic, cultural and political factors
that influence agriculture. This often limits decision
makers’ ability to rationally decide on the best course
of action in developing and implementing agriculture for
nutrition interventions.
The basic steps in the Decision Analysis process aim to
address both why and how decisions are formulated and
decision-relevant factors are measured. This approach
follows the basic premise that if something has an effect,
this effect must be observable and if it is observable, it
must be measurable.
Through the stochastic and iterative modelling process
Decision Analysis can supply decision makers with
information about probable impact pathways of
agricultural interventions and thereby help them prioritize
for the best nutrition outcomes.