This issue of the journal addresses discrete systems modeling as a fundamental tool in complexity sciences, showing how discrete mathematics, cellular automata, and network theory allow us to understand irreversible, indeterminate, and emergent phenomena in living, social, and environmental systems. Applications in education are explored, highlighting the role of networks in learning and emotional intelligence, as well as the importance of curricular neuroplasticity for the integration of knowledge. In addition, innovative approaches are presented for analyzing environmental complexity and the impact of climate change on landscapes, using spatiotemporal models and complex adaptive systems theories. The issue emphasizes the interdisciplinary nature of discrete modeling, its ability to predict collective behaviors, and its usefulness in solving current problems, from education to environmental sustainability.
