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The effectiveness of monetary policy in Zambia is undermined by foreign exchange (FX) market inefficiencies, including lack of transparency, fragmented monitoring mechanisms, and limited regulatory enforcement. These shortcomings contribute to inflation volatility and weaken the capacity of the...

Social Protection programmes in Zambia aim to reduce the levels of poverty and improve the lives of the vulnerable in the communities. However, the two most common challenges in the Social Protection sector in Zambia are fragmented data and poor targeting of beneficiaries. This report describes...

This project is focused on the development and demonstration of an automated Human Resource (HR) case processing system designed to facilitate the storage and analysis of data to support decision making processes by extracting meaningful data from scanned HR case documents. Specifically, this...

This research addresses the critical challenge of opacity and potential bias in machine learning (ML) models used for credit scoring. While advanced models like Gradient Boosting Machines and Deep Neural Networks offer superior predictive accuracy, their "black box" nature hinders regulatory...

This study examines Zambia's attempt to improve the security, openness, and effectiveness of the electoral process by introducing a blockchain-based voting system. A proof-of-concept model that includes smart contracts, system architecture, UI design, and encryption techniques is presented in the...