Climate Change and Terrorist Violence as Determinants of Household Food Insecurity in Mali: Evidence from Ségou and Mopti Regions

Trends in the environment are leading to the emergence of more and more mechanisms that bring us closer to the circular economy. However, there are a number of risks that delay various industries from fulfilling their goals. A key factor in overcoming them is the introduction of circular design. In this paper, circular design is used as a key tool for reducing risk in the circular economy. Here, the reader can get acquainted with a model for using circular design in intelligent risk management in the circular economy, called CDIRMCE. The model unites four interconnected stages that form a continuous cycle of data, analysis, action and feedback. The first stage is aimed at intelligently providing data that is interpreted through NLP and machine learning. The second is related to risk management in circularity, and it relies on predictive models and adaptive algorithms. The third stage transforms priority risks into specific circular design tasks and generates solutions through generative models, simulations and digital twins. The fourth stage provides continuous monitoring of key circularity indicators, automated reporting and self-learning of the system. In its entirety, CDIRMCE demonstrates how the integration of AI and circular design can systematically reduce uncertainty, improve product sustainability and support organizations in achieving circular economy goals. The model offers an applicable framework for both scientific research and practical management of innovation processes, combining technological intelligence, regulatory compliance and a strategic orientation towards sustainability