Food and Agriculture

Mathematica provides a range of services and tools to enable our partners to identify, measure, and evaluate innovative agriculture solutions and improve the livelihoods of tens of millions of the world’s poorest and most vulnerable populations. We use rigorous experimental and quasi-experimental methods to assess the impact of agriculture and food security interventions, and conduct market systems assessments to generate evidence on how to integrate smallholder farmers into formal markets. We have experience deploying tools and building adaptive learning and resilience platforms to provide policymakers, foundations, and other partners with timely and actionable evidence. Our project teams use cutting edge machine learning and remote sensing data to estimate and build predictive models for crop type, land use, and yield.

Our international agriculture work spans a range of issue areas, including climate smart agriculture, food security and nutrition-sensitive agricultural interventions, women’s empowerment in agriculture, land management and tenure security for farmers, livestock, irrigation system development, farmer trainings, and information and communications technology (ICT) for agricultural innovation.

To learn more about our work, explore our agriculture and food security projects or our blog series, Growing the Evidence.