The Agile Data Approaches and Innovations for Monitoring project envisions to be the North Star for monitoring, learning, and evaluating in Foundations’s AgDev programs in India and Africa. Frequent, effective, and low-cost data snapshots provide the basis for immediate action during the life of the project rather than waiting for a midterm or final evaluation.

We envision for AgDev a future where MLE, based on consistent, standardized data, is undertaken regularly for understanding individual projects, and also for understanding a portfolio of projects as a whole. Comparability is possible and facilitates the ability for AgDev to compare and draw out learning from similar initiatives. By using common, universal metrics – whether it is climate adaptation, gender inclusion, or income generation – the data works across categories and geographies. It points to interesting differences, similarities, strengths, and opportunities to improve.

Timeline :

• 2022-2026

Target Benfeciaries :

• Small-scale farmers and producers

ADAIM Objective

To establish functional, scalable, agile data gathering and monitoring systems that deliver timely, credible, and actionable data to inform evidence-based decision making for Bill and Melinda Gates Foundation’s agricultural development sustainability investments