The collected sources focus on the critical role of digitalization and advanced technologies in enabling and optimizing the circular economy, which aims to minimize waste and maximize resource utility. Specifically, several papers propose and analyze frameworks like Waste Material Recovery using Deep Learning (WMR-DL), which leverage the Internet of Things (IoT), Deep Learning (DL), and Blockchain to create efficient, automated systems for waste management, particularly for e-waste tracking, sorting, and recovery. The sources from the Ellen MacArthur Foundation, Google, and the United Nations Industrial Development Organization emphasize that these technologies, including AI and Big Data, are fundamental to transforming linear "take-make-dispose" models into circular systems, especially within cities and supply chains. They also discuss the necessity of supportive regulatory frameworks, international cooperation, and addressing technological barriers like the digital divide and data security to realize the full potential of a digital circular economy.