international

Technical report: Predicting cattle camp locations in South Sudan from Sentinel 2 satellite imagery

Cattle are central to many people’s livelihoods in South Sudan, but there are very few recent data on the number of animals and their geographic distribution. Building on previous work, this blog explores new methods, based on convolutional neural networks, that can better distinguish cattle camps from similar landscape features.

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Mentoring without borders – growing data science skills internationally

The International Data Science Accelerator Programme opened for its’ first applicants on 31 January. We spoke to Fatima Al Taharhwa (Department of Statistics, Jordan) and her mentor Hatem El Sherif (Federal Competitiveness and Statistics Centre, United Arab Emirates), who took part in the pilot programme.

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International

Our International programme leads and influences the role of data science, ensuring that it becomes an integral component of a Global Statistical System that works for all National Statistics Organisations (NSO).

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