About
Aims The International Journal of Complexity Research (IJCR) is dedicated to advancing the scientific understanding of complex systems, emergent behavior, and network dynamics across physical, biological, and social systems. The journal aims to serve as a leading forum for interdisciplinary research that uncovers the universal principles governing complexity while fostering domain-specific insights. We prioritize contributions that develop novel theoretical frameworks, computational models, and empirical methodologies for analyzing nonlinear interactions, feedback loops, adaptation, and self-organization. Embracing open science principles, IJCR is committed to rigorous peer review, reproducibility, and the dissemination of high-quality research that can inform policy, technology, and societal resilience. By bridging the gap between disciplines, we seek to catalyze transformative discoveries that address pressing global challenges such as systemic risk, collective behavior, and sustainable development. Scope IJCR covers a broad spectrum of complexity research, with a particular emphasis on the social sciences while maintaining strong connections to natural and computational sciences. We invite submissions that explore fundamental concepts and applications in the following topical areas: • Complexity theory and its foundational principles: emergence, nonlinearity, phase transitions, scaling, and self-organized criticality. • Network science: structure, dynamics, and evolution of social, biological, and technological networks, including multilayer and temporal networks. • Agent-based modeling and simulation of collective behavior, opinion dynamics, social contagion, and cultural evolution. • Complex adaptive systems in economics, finance, organizations, urban systems, and socio-ecological systems. • Computational social science: data-driven approaches to human behavior, social structures, and large-scale digital traces. • Resilience, robustness, vulnerability, and tipping points in socio-technical, socio-ecological, and infrastructure systems. • Information theory, entropy, and complexity measures applied to social and natural phenomena. • Multiscale modeling and hierarchical organization, including upward and downward causation. • Evolutionary dynamics, cooperation, collective intelligence, and the emergence of social order. • Complexity in governance, public health, policy-making, and risk management. Article Types IJCR accepts a variety of formats to accommodate the diverse needs of the complexity research community: • Original Research Articles: Full-length empirical, computational, or theoretical studies. • Reviews and Perspectives: Comprehensive surveys, critical evaluations, or forward-looking viewpoints on key topics. • Methodological Papers: Novel methods, algorithms, tools, or datasets that advance complexity research. • Short Communications: Concise reports of significant findings, replication studies, or negative results. • Case Studies: In-depth applications of complexity science to real-world problems, including policy or business contexts. • Data Descriptors: Detailed descriptions of curated datasets to facilitate reuse and reproducibility. • Commentaries and Debates: Critical discussions, opinion pieces, or responses to published work on emerging or controversial issues. Audience The journal targets an interdisciplinary audience including researchers and practitioners in social sciences (sociology, economics, political science, anthropology, psychology), natural sciences (physics, biology, ecology), computer science, engineering, mathematics, and complexity science. It also serves policymakers, consultants, educators, and anyone interested in applying complexity thinking to real-world systems and challenges.