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UN Hubs for
Big Data and Data Science

Regional Hubs facilitate innovating projects, the sharing of methods, algorithms and tools, and the provision of training in the use of data science for the community of official statisticians in their respective regions.

Global Hubs are centers of excellence specializing in innovative fields.

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Regional Hubs

Brazil

Contributing to the advancement in the use of Big Data and Data Science to improve the production of official statistics, promoting the sharing of knowledge and the development of innovative initiatives in Latin America and the Caribbean.

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Indonesia

Providing concrete examples of the potential use of Big Data for monitoring the indicators associated with the Sustainable Development Goals (SDGs).

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Rwanda

An environment for capacity development activities in new areas of data analysis such as data science, artificial intelligence, machine learning and other big data related techniques, not only in Rwanda, but also in the region.

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UAE

Facilitation of projects in the use of Big Data and data science for official statistics and SDG indicators, knowledge sharing of methods, algorithms and tools, and the provision of data science training for the community of official statisticians in the Arab region

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Global Hubs

UN ARIES for SEEA Sector Hub

The Sector hub of ARIES for SEEA's (Artificial Intelligence for Environment and Sustainability for the System of Environmental-Economic Accounting) provides a platform to promote the interoperability of data and models in the field of environmental-economic accounting and sustainability worldwide. It will also bring cutting-edge technology and data science methods in the use of AI and Big Data together.

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Global Hub in China

The Global Hub in China specializes in remote sensing for agriculture statistics and measurement of e-commerce

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