Spatial Data: We use and develop spatial data to help us understand the drivers of agriculture at different scales.
Household Data: We use household datasets to gain a broader perspective of the trends and patterns of farming systems in diverse households.
Nutrition and Health Data: We use nutritional data to investigate how global food supply can meet the nutritional needs of a growing population.
Models: We use models to find solutions to a range of challenges facing agricultural systems.
Frameworks: We use frameworks to better understand complex relationships.
Follow the links for more information about the tools that we use.