AI for Humanitarian Aid Targeting & Cash Assistance Optimization
Use AI to target aid and cash assistance with geospatial and vulnerability data, ensuring fairness, safeguards, and operational speed.
Humanitarian programs must target limited resources fairly and fast. AI fuses vulnerability, exposure, and program data to prioritize households/areas, plan cash distributions, and monitor safeguards. Outcomes: higher coverage of vulnerable groups, reduced leakage, faster response, and transparent decisions.
Distribution planning: last-mile, agents, liquidity.
Bias/fairness monitoring; grievance workflows and redress.
Fraud/anomaly detection; audit trails.
Privacy-preserving IDs; consent tracking; DPIA artifacts.
Data contracts for partners; lineage and versioning.
Vulnerability models with explainability and fairness metrics.
Frequently asked questions
What is the process for consolidating Social Determinants of Health, hazard data, and program data?
Consolidate SDoH/hazard/program data; build baseline targeting model.
How should we approach piloting the system in a single region, focusing on explainable scores and grievance channels?
Pilot in one region with explainable scores and grievance channel.
What steps are necessary to incorporate fraud and anomaly checks, and optimize transaction design while monitoring key performance indicators?
Add fraud/anomaly checks; optimize transfer design; monitor KPIs.
How do we scale the system to multiple regions, integrating payment rails and liquidity signals?
Scale to more regions; integrate payment rails and liquidity signals.
▶ Try it live
Everything above runs in your browser — open Earthquake Wave Propagation Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.