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Monitoring and Evaluation, made practical. The M&E AI Lab teaches M&E, evaluation and AI for development and humanitarian professionals.

Short animated episodes built on one running case study: a three-year Resilience Programme across four countries — agriculture, livestock, food security, nutrition, WASH, climate resilience.

Covered: monitoring vs evaluation, results chain, outputs and outcomes, theory of change, logframe, MEAL, indicators, baselines and targets, data quality, sampling, surveys, KII and FGD, qualitative and quantitative analysis, OECD-DAC criteria, findings and recommendations, Excel, Power BI, Kobo.

On AI: what it can do — organise, summarise, explore, draft — and what it cannot: create evidence, establish causality, verify itself. Judgement stays with the professional.

For M&E and MEAL officers, evaluators, programme managers, researchers, consultants, NGO staff.

Suivi-évaluation, théorie du changement, cadre logique, critères CAD-OCDE. Sous-titres français.