The main objectives of this assessment were to:
1) Demonstrate the feasibility and the value of creating integrated and socially inclusive agri-food system datasets, covering producers, processors, markets, consumers, and the environment.
2) Develop and showcase methods and modules for collecting gender-disaggregated data from farms, markets, and households and data on informal food and agricultural enterprises using a portfolio of methods including primary surveys, case studies, remote sensing, textual analysis, and new ways of capturing and repurposing digital data.
3) Develop protocols for collecting and sharing data to protect privacy and interests of farmers, firms, and consumers.
4) Generate high resolution data to understand correlations between different parts of the food system (For example: the agriculture-nutrition connection/disconnection and what are the links between local production systems and diets. What are the resource use implications of a more diversified production system.)
5) Track key indicators of the performance of the different components of the food system.