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#artificial intelligence Review Sep 2026

Transfer Learning for Socioeconomic Estimation in Forced-Displacement Settings

A multimodal spatiotemporal vision transformer is adapted, pretrained on Demographic and Health Survey data from approximately 1.2 million households across 36 African countries, to forced displacement and host community settings in South Sudan, Cameroon, and Zambia, and the framework complements and adds value to peri...

Steven Ndung'u, Adel Daoud, Ismael Yacoubou Djima et al. · 0 citations
#artificial intelligence Review Sep 2026

Extracting Dataset Mentions in Forced Displacement and FCV Documents: A Weakly Supervised Framework with LLM-Based Label Refinement

Development and humanitarian organizations produce and support surveys, administrative registries, and other data resources to inform research, policy, and operations, yet systematically identifying where these datasets are referenced remains difficult. Such references are dispersed across research papers, project docu...

Rafael Macalaba, Aivin V. Solatorio, P. Brock et al. · 0 citations

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