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Estimating global migration flows by combining traditional and innovative data sources using machine learning
By using machine learning, this research project combines multiple innovative data sources such as Google search and air traffic data with traditional migration statistics to estimate global migration flows
One year later, none the wiser: Seasonal migrant workers still left behind during COVID-19
One thing the COVID-19 pandemic has clearly demonstrated is the crucial role of seasonal migrant workers in global food supply systems. At the start of the agricultural season in 2020, countries heavily reliant on...