World Bank (2021) Report (multilateral / development partner)

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-002-TGO-004

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: 3/24/2026

Summary

World Bank results brief documenting the Novissi programme context, IDA financing, partnership structure, and programme outcomes. Reports ML algorithms predicted consumption for 5.7 million individuals (70% of population) and 57,000 new beneficiaries were prioritised. Confirms planned 2021 surveys to detect bias against women, illiterate, and marginalised groups. Documents partnership between Government of Togo, UC Berkeley, IPA, and Northwestern University.

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 Mar 2026).

Linked Cases (1)

TGO-004 TGO Pilot / Controlled Trial Phase

Novissi -- Machine Learning Model Performance Monitoring and Bias Detection

Social assistance Classical ML