Prioritizing the poorest and most vulnerable in West Africa: Togo's Novissi platform for social protection uses machine learning, geospatial analytics, and mobile phone metadata for the pandemic response
World Bank
Ref: SRC-003-TGO-001
Accessed: 3/24/2026
Summary
World Bank results brief summarising Novissi's key achievements. Reports that ML algorithms predicted consumption patterns for 5.83 million individuals (70 percent of population) and between November 2020 and March 2021, 57,000 new beneficiaries were prioritised through predictive algorithms. Describes the selection of poorest villages and neighbourhoods through high-resolution satellite imagery and nationally representative household consumption data.
View Harvard reference
World Bank (2021) 'Prioritizing the poorest and most vulnerable in West Africa: Togo's Novissi platform for social protection uses machine learning, geospatial analytics, and mobile phone metadata for the pandemic response'. Washington, DC: World Bank. Available at: https://www.worldbank.org/en/results/2021/04/13/prioritizing-the-poorest-and-most-vulnerable-in-west-africa-togo-s-novissi-platform-for-social-protection-uses-machine-l (Accessed: 24 March 2026).