WFP says that ALIA datasets fed its analysis after Typhoon Kammuri

An evaluation for WFP Philippines relays WFP's own report that datasets from ALIA, an AI-powered tool, were used in the vulnerability analysis after Typhoon Kammuri in 2019.

  • Not rated an organization

    The evaluation relays only that ALIA datasets were used in one vulnerability analysis and does not say what they changed.

Depth runs from 1, a convenience or time saved, to 5, a life or a livelihood preserved.

Status
Reported benefit.
Evidence

foundstudiedreportedclaimed

Only the evaluators support the benefit.

The system’s part
Not isolated. The evaluation calls ALIA an artificial-intelligence-powered tool and mentions predictive analytics. It gives no technical detail, so it does not show that ALIA learns from data. It does not separate ALIA's datasets from the rest of the vulnerability analysis.
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LimitsCosts and harmsLearns from dataLater outcome

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Benefit type
Improved Knowledge Discovery
System
ALIA (Automated Livelihoods Information Assistant)
Made by
WFP Philippines, with support from the WFP Innovation Accelerator
Used by
WFP Philippines, for anticipatory action and post-disaster vulnerability analysis
Where
Philippines
Stage
In a pilot
Date
Kind
Benefit created
Broad benefit
Analyzing Data or Information
Last revised
1 November 2026

Sources

  1. Descriptive report, by an evaluator that the makers or users commissioned.

    TANGO International for WFP Philippines. Thematic Evaluation of WFP Philippines Country Capacity Strengthening Activities July 2018 - June 2022. Decentralized evaluation report DE/PHCO/2020/015, 19 August 2022. Commissioned by the WFP Philippines Country Office and published in the UN Evaluation Group repository.

    ALIA datasets were used in the vulnerability analysis after Typhoon Kammuri (2019). With support from the WFP Innovation Accelerator, WFP helped develop comprehensive predictive analytics by prototyping ALIA.

Details

AI system

Workflow

WFP Philippines prototyped ALIA with support from the WFP Innovation Accelerator. ALIA provided resilience-building information before and after emergencies. Its datasets went into the vulnerability analysis after Typhoon Kammuri.

Follow-up

Conditions for replication

ALIA's datasets must be available to the vulnerability analysis after a disaster.

Entry details

Sector

Humanitarian anticipatory action and food security.

Purpose

WFP Philippines built ALIA, with support from the WFP Innovation Accelerator, to provide resilience-building information before and after emergencies.

31 more questions not yet checked

model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.

Cite this record

Peter H. Vartanian. (2026). WFP says that ALIA datasets fed its analysis after Typhoon Kammuri (AIBD-1169). Artificial Intelligence Benefits Database, edition of 1 November 2026. https://petervartanian.xyz/aibd/records/AIBD-1169.html (archived at https://doi.org/10.7910/DVN/AADSII, version 7.0)

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