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Needs assessment in crisis contexts: Generating a synthetic population from limited demographic data

Domaine:

socioeconomicpeace and security

Type de record:

papersoftware
Créateur:
WetSaaVoz
Éditeur:
UniIns
Éditeur:
CCSD
Hôte:avatar
International audience In crisis situations, demographic data can be difficult to collect. This limits the effectiveness of humanitarian interventions by preventing an accurate assessment of needs. We aim to propose a robust statistical methodology for modeling a synthetic population. It must be able to reflect the dynamics and needs of the affected population. It also makes it possible to create synthetic environments to anticipate scenarios and their responses. The method has been applied to the case of internally displaced persons in Somalia.

Visit

hal.science

Tags

Covariance matricesData modelsFillingMathematical modelsSocial sciencesDemographyStatistical analysisExplainable AIAccuracyMeasurement+1

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