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.