Many complex phenomena in earth sciences and geography, including nonlinear fluid motions in the atmosphere, oceans, rivers, and lakes, coastal morpho dynamics, volcanic and seismic activities, the spatiotemporal dynamics of species, human movement t...
Systems theory has been challenged in the recent literature due to its perceived disconnection from today’s research and practice demands. Moving away from the reductionist frameworks and the complicated domain predominated by known unknowns an...
Complex systems science has contributed to our understanding of ecology in important areas such as food webs, patch dynamics and population fluctuations. This has been achieved through the use of simple measures that can capture the difference betwee...
Recently emerging data-driven citizen sciences need to harness an increasing amount of massive data with varying quality. This paper develops essential theoretical frameworks, example models, and a general definition of complexity measure, and examin...
Urban sprawl is nowadays a pervasive topic that is subject of a contentious debate among planners and researchers, who still fail to reach consensual solutions. This paper reviews controversies of the sprawl debate and argues that they owe to a failu...
This article argues that complexity scientists have been searching for a universal complexity in the form of a “theory of everything” since some important theoretical breakthroughs such as Bertalanffy’s general systems theory, Wiene...
We present a curriculum and instruction framework for computer-supported teaching and learning about complex systems in high school science classrooms. This work responds to a need in K-12 science education research and practice for the articulation...
In order to explore the knowledge base, research hotspot, development status, and future research direction of healthcare research based on information theory and complex science, a total of 3031 literature data samples from the core collection of We...
Complex systems are prevalent in various disciplines encompassing the natural and social sciences, such as physics, biology, economics, and sociology. Leveraging data science techniques, particularly those rooted in artificial intelligence and machin...
Complex systems science (CSS) and community-based research (CBR) have emerged over the past 50 years as complementary disciplines. However, there is a gap in understanding what has driven the recent proliferation of integrating these two disciplines...
Unlike general large-scale projects, major science and technology projects (MSTPs) are strategically positioned to meet national needs, reflecting the forward-looking direction of science and technology development. The correctness of decision making...
The socio-environmental challenges the world faces are ‘swamps’: situations that are messy, complex, and uncertain. The aim of this paper is to help disciplinary scientists navigate these swamps. To achieve this, the paper evaluates an integrative fr...
Many teams have developed a wide range of numerical or categorical indicators of progress in the implementation of the SDG targets. But these indicators cannot identify why target goals have not been accomplished, whether or how they do or do not do...
Recent years have witnessed significant achievements and technological advances in citizen science (CS) projects; nevertheless, significant global challenges are present. Proof of this is in the joint efforts of international organizations to achieve...
The rise of global attention toward sustainability and sustainable development (SD) has provided increased incentives for research development and investment in these areas. Food systems are at the center of human needs and global population growth s...
With the active promotion of the “carbon peaking and carbon neutrality” goals, science and technology finance (STF) is the important driving force of low-carbon development, and financial networks facilitate the aggregation and transforma...
The aim of this article was to review the basic drawbacks of the deterministic and reductionistic thinking in biomedical science and to provide ways for dealing with them. The present paradigm of research in biomedical science has not got rid of the...
Social and environmental problems are increasing, as is the urgency that they be addressed in educational institutions to form critical, responsible and active citizens. In this training process, the dialogue between science education and education f...
The international system has changed rapidly in the last thirty years and Science, Technology and Innovation (STI) has become a new critical factor of the world order of the 21st century. The interaction between STI and international affairs has incr...
Complexity has emerged as a global phenomenon with significant implications for the organization and structure of any system. In recent decades, the space system has undergone a transition to a more complex configuration. This essay argues that the i...
We propose a universal framework for understanding system evolution based on structural complexity, offering a directional signature that applies across physical, chemical, and biological domains. Unlike entropy, which is constrained by its definitio...
DSRP Theory is now over 25 years old with more empirical evidence supporting it than any other systems thinking framework. Yet, it is often misunderstood and described in ways that are inaccurate. DSRP Theory describes four patterns and their underly...
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Recently, concepts and principles from the Complexity Theory (or, generally speaking, the complexity sciences) have been applied as a perspective for capturing the influence of the context, interaction, and adaption in the innovation processes, such...
Research in hydrological sciences is constantly evolving to provide adequate answers to address various water-related issues. Methodological approaches inspired by mathematical and physical sciences have shaped hydrological sciences from its inceptio...
Many real-world spatial systems can be conceptualized as networks. In these conceptualizations, nodes and links represent system components and their interactions, respectively. Traditional network analysis applies graph theory measures to static net...
In this paper, we explore Science|Environment|Health, One Health, Planetary Health, and Sustainability/Education for Sustainable Development in the context of the 2030 Agenda as four major frameworks that take a step toward investigating health from...
We explore recent contributions to research in Econophysics, switching between Macroscopic complexity and microscopic modelling, showing how each leads to the other and detailing the everyday applicability of both approaches and the tools they help d...
Complexity and information theory are two very valuable but distinct fields of research, yet sharing the same roots. Here, we develop a complexity framework inspired by the allometric scaling laws of living biological systems in order to evaluate the...
The sustainable management of forest resources is greatly influenced by forest operations (FO). Interactions between humans and nature describe how people engage with and are impacted by the natural world. As we enter the Anthropocene epoch, we are b...
The increasing intersection of psychotherapy, cognitive science, neuroscience, and systems engineering beckons us to rethink what it means to talk the language of the human mind in the clinical setting. This position paper proposes the idea of entang...
Integrated language, science and technology (ILS&T) instruction is a complex task for primary school teachers that requires professional development. Task-centered educational approaches such as the four-component instructional design (4C/ID) mod...
Systemic cognition combines the humanities and social sciences with systems science to support a unified field, Human Systems Integration (HSI). It draws on complementary, sometimes conflicting, fields of research, including phenomenology, positivism...
Knowledge Management (KM) has evolved over the last five decades as a complex socio-technical system shaped by interactions between organizational processes, technologies and social actors. This study maps the systemic evolution of KM research betwee...
This paper introduces a novel generative artificial intelligence workbench specifically tailored to the field of safety sciences. Utilizing large language models (LLMs), this innovative approach significantly diverges from traditional methods by enab...
The EU taxonomy defines criteria for economic activities committed to a net zero emission by 2050, and other environmental goals. Its overall goal is to direct investments to economic activities aligned with the European Green Deal and, thereby, clas...
Based on the then high-tech industry policy documents issued by Beijing in 2017, this paper builds a complex network model to reflect the internal structure of Beijing’s High-Technology Industry Chain (BHIC), and then analyzes the coevolutionar...
Increasingly urbanized populations and climate change have shifted the focus of decision makers from economic growth to the sustainability and resilience of urban infrastructure and communities, especially when communities face multiple hazards and n...
The needs to reduce the imperfection of theoretical and methodological approaches to value and regulate the processes of applying the methods of transactional energy are substantiated. The concept of combining organizational, economic and mathematica...
The purpose of this work is to increase the theoretical and methodological approaches to value and regulate the dynamics of management processes. Application of these dynamics is implemented via methods of improving the quality of management of compl...
Reducing car dependency requires orchestrated multi-sectoral, multi-policy action in a complex landscape. Thus, development of proposed interventions to reduce car dependency should be informed by systems thinking, complexity science, and socio-techn...
The trade distance is an important constraining factor underpinning the emergence of social and economic interactions of complex systems. However, agent-based studies supported by the granular analysis of distances are limited. Here, we present a com...
Sexual and gender minority (SGM) populations experience extensive health disparities compared to their straight and cisgender counterparts. The importance of addressing these disparities is paramount, as SGM groups often encounter significant barrier...
Since the first launch of an artificial satellite—Sputnik 1—in 1957, space activities have played a significant role as a pioneering technological sector with a high impact on the international scenario. The space system has changed rapid...
Combining complex networks analysis methods with machine learning (ML) algorithms have become a very useful strategy for the study of complex systems in applied sciences. Noteworthy, the structure and function of such systems can be studied and repre...
In this study, we consider the human body and the healthcare system as two complex networks and use theories regarding entropy, requisite variety, and network centrality metrics with resilience to assess and quantify the strengths and weaknesses of h...
The question of how to give meaning to the concept of sustainability in architectural design practices is highly contested today. Although architects, engineers, clients, politicians, and others seem to agree that sustainability must be addressed, be...
We describe an “Urban Observatory” facility designed for the study of complex urban systems via persistent, synoptic, and granular imaging of dynamical processes in cities. An initial deployment of the facility has been demonstrated in New York City...
Complexity science studies systems in which properties and behaviors emerge at meso- and macroscales that are difficult to predict and model by observing the properties and behaviors exhibited by the system’s components at smaller scales. The s...
The collaboration of scientists is important for promoting the scientific development and technological progress of a country, and even of the world. Based on the cooperation data of academicians of the Chinese Academy of Sciences (CAS) in the China...
Interdisciplinary communication and collaboration are crucial in the care of people with multiple long-term conditions (MLTCs) yet are often experienced as insufficient. Through the lens of complexity science, this study aims to explain how healthcar...
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