A globally consistent, year by year map of human migration across 230 countries from 1990 to the present, reconstructed with deep learning.

Researchers built the first year by year picture of how many people moved between every pair of countries from 1990 to today, covering 230 countries and regions. Migration data is usually patchy, years apart, and defined differently everywhere, so they trained an ensemble of neural networks on official statistics, censuses and past estimates to produce consistent annual flows with error bars. The model beat existing five year estimates on data it had never seen, and all data, code and models are public.

Integritätsprüfung: bestanden (3 Prüfungen) Geprüft am 3 July 2026. Retraction record: none. DOI resolves at doi.org. Metadata record found (Nature). Zur Quelle

Diese Prüfung sieht sich Prozess-Signale an. Sie sagt nicht, dass die Ergebnisse stimmen.