Topic: Poverty & social protection clear · back to the knowledge map
Two-year pilot in Amhara, Ethiopia (2004–2006) combining a conditional goat transfer for unmarried girls in school, safe-space mentoring and SRH education. Girls …
Azerbaijan's State Social Protection Fund uses AI-based data matching across 15+ agencies to proactively identify and enrol eligible citizens in welfare benefits. …
To rush COVID aid to the poorest, Togo used machine learning on satellite imagery and mobile-phone data to target cash transfers — …
Launched in Damascus in 2009, this WFP/UNHCR pilot let Iraqi refugee families redeem food at local shops using SMS codes texted to …
During Niger's 2010 food crisis, Concern Worldwide ran a randomized trial paying cash transfers via mobile money ('Zap') against manual cash and …
Kazakhstan's Digital Family Card uses predictive scoring across 100+ socio-economic indicators from 20+ agencies to proactively identify and serve vulnerable families. Since …
Chile's RSH algorithm classifies 8.99 million households (85.6 % of the population) into socioeconomic tiers that gate access to all means-tested state …
Pakistan's BISP operates a 35-million-household registry using Proxy Means Test scoring cross-referenced with NADRA biometric data to identify the poor; 15 million …
Argentina's pension moratorium let adults lacking 30 years of formal contributions — mostly women who had done unpaid care work — buy …
India's DAY-NRLM sub-scheme has sanctioned 84 projects across 24 states, targeting 3 million+ women farmers. A Nielsen study found 1.3x higher agricultural …
Senegal's DGPSN uses a proxy-means-test score from the Registre National Unique to target Family Security Grants, reaching 355,013 beneficiaries in Q1 2026 …
Vietnam's VNeID uses AI facial-recognition and data-matching to verify identity and route welfare payments: 83.5 million accounts, 2.1 billion transactions, and 2.5 …
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