Governments around the world have agreed to end hunger and food insecurity and to improve global nutrition, largely through changes to agriculture and food systems. However, they are faced with a lot of uncertainty when making policy decisions, since any agricultural changes will influence social and biophysical systems, which could yield either positive or negative nutrition outcomes. The authors outline a holistic probability modeling approach with Bayesian Network (BN) models for nutritional impacts resulting from agricultural development policy.
This work was supported by the ‘Innovative Methods and Metrics for Agriculture and Nutrition Actions (IMMANA) programme and funded by UK Department for International Development.
Whitney, C. W., Lanzanova, D., Muchiri, C., Shepherd, K. D., Rosenstock, T. S., Krawinkel, M., Tabuti, J. R. S., & Luedeling, E. (2018). Probabilistic Decision Tools for Determining Impacts of Agricultural Development Policy on Household Nutrition, Earth’s Future, 6, 359–372. https://doi.org/10.1002/2017EF000765
Probabilistic Decision Tools for Determining Impacts of Agricultural Development Policy on Household Nutrition
Published 2 February 2018