Renewable bio-based circular material economies in timber, post-agricultural by-products and plant-based bioremediation

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GGW

GREAT

GREEN

WALL

Yale CEA contributes its powerful data analytics dashboard SEVA (Socio-Ecological Visual Analytics) to the Great Green Wall Project.

Sahel Region, Africa, 2020

GGW

Image: Great Green Wall Aerial View of Desertification in Africa

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how can big data analytics be used to shape key decisions?

The Great Green Wall is a symbol of hope in the face of one of the biggest challenges of our time - desertification. This game-changing African-led initiative aims to restore Africa’s degraded landscapes and transform millions of lives in one of the world’s poorest regions, the Sahel.


By 2030, the ambition of the initiative is to restore 100 million hectares of currently degraded land; sequester 250 million tons of carbon, and create 10 million green jobs. The Great Green Wall snakes the Sahel region from Senegal in the West to Djibouti in the East of Africa.


Land restoration plays a central role in achieving the Sustainable Development Goals. Through the circular network, you can explore the direct contributions initiated in different countries of interventions. To visualize and uncover information related to a specific country, we can zoom into each of the eleven member countries to discover their key achievements.

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Yale CEA contributes its powerful data analytics dashboard SEVA (Socio-Ecological Visual Analytics) to the Great Green Wall Project. SEVA takes stakeholders on a journey to query, analyze, access, and visualize multiple types of data, from global aggregated statistics to in-situ conditions on the ground. Big Data Analytics enables strategic relationships and informed decision-making.

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BEEM Lab
Clark's Crow
SEVA
TCR

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