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The aim of this project is to explore the impact of artisanal mines (legal or illegal) on the economic development of Sub-Saharan African countries from 2000 to 2021. This project proposes to collect exhaustive information for all Sub-Saharan African countries on the opening/closing of artisanal mines with GPS coordinates. I make use of satellite image time series and machine learning tool, namely convolutional neural network, to identify precisely the location of artisanal mines. Equipped with this original dataset, I will address the first order question of the local impact of artisanal mining, at a very large scale. Notably, I will study the local impact of artisanal mines on individual income, health, migration and conflict.
The aim of this project is to explore the impact of artisanal mines (legal or illegal) on the economic development of Sub-Saharan African countries from 2000 to 2021. This project proposes to collect exhaustive information for all Sub-Saharan African countries on the opening/closing of artisanal mines with GPS coordinates. I make use of satellite image time series and machine learning tool, namely convolutional neural network, to identify precisely the location of artisanal mines. Equipped with this original dataset, I will address the first order question of the local impact of artisanal mining, at a very large scale. Notably, I will study the local impact of artisanal mines on individual income, health, migration and conflict.
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