The IMMANA-funded Probabilistic Causal Models for Nutrition Outcomes of Agricultural Actions project developed decision analysis methods, which offer a recommended course of action for decision makers on how to promote agriculture for nutrition. These methods have opened up a growing new field of research.
Read about how the decision analysis methods have been applied to a wide variety of major research projects, from monitoring soil organic carbon stock to understanding the effects of introducing fruit trees on household nutrition in this new case study.
Look out for future case studies showcasing the impact of IMMANA Grants!
