Development partners & multilaterals
AIC for Development Partners
Comparable, source-transparent evidence across countries and portfolios — with the provenance and methodology visible rather than assumed.
What this audience needs
- Cross-country comparison on a consistent basis
- Baseline and monitoring indicators for programme design
- Transparency about where each number came from
- Analysis that partners in-country can reproduce
How AIC answers it
Cross-country comparison
AIC MacroEvery African country with harmonized indicators, latest values and the years each series covers, so gaps are visible rather than hidden.
Source transparency
AIC Data46 catalogued sources with licence category, update frequency, access conditions and live health status for each.
Household-level evidence
AIC MicroPoverty, inequality, agriculture and livelihood diversification analysis on LSMS, DHS, MICS and national survey series.
Reproducible analysis
AIC Studio ↗Hosted Python and R notebooks so a method can be shared, rerun and audited rather than described in an annex.
In practice
Scoping a regional agriculture programme
- 1Compare agricultural productivity and rainfall across candidate countries.
- 2Check which household surveys exist for each, and on what access terms.
- 3Analyse crop and income diversification where microdata is available.
- 4Share the notebook so country teams can rerun it on their own data.
Discuss a deployment
We work with institutions on data partnerships, capacity building and country-specific deployments.