The Journal of Analytical Uncertainty (JAU) is an international, peer-reviewed, multidisciplinary journal devoted to advancing theoretical, computational, and applied research applied research on randomness and uncertainty in decision-making. The journal provides a platform for researchers, academicians, and practitioners working in the diverse domains of mathematics, statistics, and fuzzy sciences to exchange innovative ideas and findings addressing the complexities of uncertain, imprecise, and vague information. The JAU aims to promote the integration of analytical modeling, statistical inference, and uncertainty quantification for enhanced decision-making across various fields including economics, finance, engineering, healthcare, environmental studies, and social sciences. The journal welcomes contributions that develop new methods, propose models, or present applications in which uncertainty plays a critical role in decision processes.