This edition presents the analysis of complexity as a theoretical and methodological approach to understanding contemporary organizational, educational, social, and biological processes. Through case studies and theoretical reflections, the articles explore how complex systems influence the integration of the complexity approach into organizational environments and the understanding of social complexity among university students, examining dimensions such as responsibility and social participation.

In the environmental and biological fields, the research explores the complexity of forest sciences, analyzing forests as living collectives and adaptive complex systems that challenge traditional impact estimation models. Furthermore, the concept of universities as complex systems is addressed, analyzing the challenges of digital transformation mediated by generative artificial intelligence, especially regarding decision-making and academic innovation. Finally, the use of ChatGPT in teaching is analyzed to determine the emerging dynamics within a complex learning ecosystem, highlighting the impact of AI on pedagogical processes and the interaction between students, teachers, and technology.