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Good practice Imported

HungerMap Live's AI Forecasting Helps Guide Somalia's Emergency Food Response

Somalia · Buur Hakaba · See the Somalia profile

Evidence: Descriptive / self-reported Top 2% 93/100 · Ask Evidence Copilot about this practice

WFP's AI-assisted HungerMap Live platform, built with Google.org and covering 50+ countries, helped identify worsening hunger in Somalia's Buur Hakaba district before malnutrition peaked, triggering food aid for 48,000 people and nutrition support for 3,000 women and children.

48,000
People reached with food assistance after early alert in Buur Hakaba (2026)
3,000
Women and children reached with targeted nutrition support in Buur Hakaba (2026)
HungerMap Live's AI Forecasting Helps Guide Somalia's Emergency Food Response

Details

Maturity
Scaling
Promoter
World Food Programme (WFP), with FAO, Google.org and the Gates Foundation
Period
2026
Keywords
food security, humanitarian response, early warning, public health

Context

The World Food Programme released HungerMap Live on 16 April 2026, a global hunger-monitoring platform covering more than 50 countries - including all 16 WFP-designated 'Hunger Hotspots' - that combines data from over 300 WFP food-security analysts with climate, market, conflict and nutrition data from external partners, including an AI-assisted forecasting layer developed with Google.org and a nutrition-adequacy layer supported by the Gates Foundation.

Objectives

Answer where food insecurity is worst, where it is heading, and why, so that response can be triggered earlier and targeted more precisely.

Activities

In Somalia's Buur Hakaba district, roughly 180 km northwest of Mogadishu, WFP used the platform's predictive analysis to identify a deteriorating situation before malnutrition among children became severe.

Results

The early identification triggered food assistance for 48,000 people and targeted nutrition support for 3,000 women and children in Buur Hakaba.

Conclusions

The case sits inside a much larger, still-unresolved crisis: an estimated 6 million Somalis face crisis-level food insecurity, WFP says it can reach only about 1 in 10 people in need, and the agency cites a $192 million funding gap through January 2027 - the tool improves the targeting and timing of a response that remains heavily resource-constrained, rather than resolving the underlying funding shortfall.

Implementation
Indicative cost
High (€500k–€5M)
Time to results
Medium (1–3 years)
Staffing & skills
300+ WFP food-security analysts, Technical partnership with Google.org (AI forecasting) and Gates Foundation (nutrition-adequacy layer)

Conditions for success

  • Integration of climate, market, conflict and nutrition data from external partners alongside WFP's own analyst network
  • Local field teams able to act on predictive alerts before conditions become critical
  • Sustained donor funding to convert early warning into an actual response (WFP cites a $192M funding gap through Jan 2027)

Commonly funded by

Philanthropic / foundation funding National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

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