Globally, an estimated twenty-eight million people are trapped in forced labor. In this project, we aim to develop a framework for geochemically identifying and/or verifying the origin of imported cement and its constituent materials.
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In this project we are using interpretable machine learning methods to predict the risk of forced labor in mining operations for raw materials across various locations. Our goal is to help equip U.S. material specifiers and government officials with tools to mitigate the importation of materials linked to forced labor and unchecked environmental impacts.
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