Analysis of world trade data with machine learning to enhance policies of mineral supply chain transparency

Umut Mete Saka, Payne Institute Faculty Fellow Sebnem Düzgün, and Director Morgan Bazilian write about how utilizing machine learning to help the integration of supply chains worldwide and the establishment of resilient material flows emphasize the significance of transparency on mineral supplies. As regulations and policies around mineral supply become more stringent, organizations are actively seeking effective tools to assess the transparency of their supply chains.  January 13, 2024.