World Food Programme (2023) Report (multilateral / development partner)

Machine Learning for Early Warning Systems (Factsheet)

WFP

Ref: SRC-001-ETH-002

https://www.wfp.org/publications/2023-machine-learning-early-warning-systems

Accessed: 10/30/2025

Summary

WFP factsheet describing the collaboration with University of Oxford, ICPAC, KMD, ECMWF, and EMI with Google.org grant support. Documents the use of AI and machine learning to harness collective expertise in weather prediction, early warning systems, and emergency response to protect lives and livelihoods in Eastern Africa. Covers Kenya and Ethiopia.

View Harvard reference

World Food Programme (2023). Machine Learning for Early Warning Systems (Factsheet). Rome: WFP. Available at: https://www.wfp.org/publications/2023-machine-learning-early-warning-systems (Accessed 30 Oct 2025).

Linked Cases (1)

ETH-002 ETH Operational Deployment (Limited Rollout)

SEWAA — AI-Enhanced Rainfall Forecasting for Anticipatory Action in Ethiopia

Social assistance Deep learning