Aim: The Journal of Applied Mathematics and Modelling (JAMM) aims to advance the frontiers of applied mathematics by publishing high-quality research that bridges theoretical developments with real-world applications. We seek to foster innovation in mathematical modeling, computational techniques, and analytical methods that address complex challenges across diverse scientific and industrial domains. Our mission is to provide a platform for interdisciplinary collaboration, promoting mathematical approaches that drive progress across science, engineering, technology, and decision-making. Scope: 1. Mathematical Modeling and Computational Methods – Development and analysis of deterministic, stochastic, discrete, and continuous models and numerical techniques for solving complex mathematical problems. 2. Optimization and Decision Science – Research in mathematical optimization, operations research, and decision-making models with engineering, economics, logistics, and artificial intelligence applications. 3. Differential Equations and Dynamical Systems – Theoretical and computational studies on ordinary, partial, and fractional differential equations, stability analysis, and nonlinear dynamical systems across scientific disciplines. 4. Data-Driven and Machine Learning Models – Integrating mathematical modeling with artificial intelligence, big data analytics, and statistical learning to enhance predictive modeling and intelligent decision-making. 5. Network Science and Complex Systems – Analysis of interconnected systems, network structures, and emergent behaviors in epidemiology, finance, transportation, and social sciences.