scholarly journals Critical Analysis of Complex Systems Science and Mechanics

2021 ◽  
pp. 191-197
Author(s):  
Shi Xiao Qin
Keyword(s):  
Complex Systems ◽  
Critical Analysis ◽  
Middle School Mathematics ◽  
Decision Makers ◽  
Systems Science ◽  
Systems Research ◽  
Analytic Strategy ◽  
Complex Systems Science ◽  
Analytical Frameworks ◽  
Mathematics And Science

For many highly complex, ecological, physical and societal structures, the conventional hypotheses that underpin many theoretical and analytical frameworks are false. Complex systems research elucidates why and when such preconceptions are incorrect, as well as alternate paradigms for comprehending complex series characteristics. Complexity characteristics, the tradeoff between effectiveness and adaptation, the need of matching the complexities of networks to that of their surroundings, multiresolution assessment, and evolution are among the fundamental concepts of Complex Systems (CS) research introduced in this study. Instead of simulating particular dynamics, we concentrate on the general characteristics of systems. We didactically explain a theoretical and analytic strategy for comprehending and engaging with the complicated processes of our environment rather than giving a complete overview. This article requires just a middle school mathematics and science foundation in order to make it approachable to researchers from all disciplines, decision-makers from business, government, and charity, and anybody engaged in networks and civilization.

scholarly journals An Introduction to Complex Systems Science and Its Applications

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Alexander F. Siegenfeld ◽  
Yaneer Bar-Yam
Keyword(s):  
High School ◽  
Complex Systems ◽  
Multiscale Analysis ◽  
Social Systems ◽  
Decision Makers ◽  
Analytic Approach ◽  
Systems Science ◽  
Basic Principles ◽  
Comprehensive Review ◽  
Complex Systems Science

The standard assumptions that underlie many conceptual and quantitative frameworks do not hold for many complex physical, biological, and social systems. Complex systems science clarifies when and why such assumptions fail and provides alternative frameworks for understanding the properties of complex systems. This review introduces some of the basic principles of complex systems science, including complexity profiles, the tradeoff between efficiency and adaptability, the necessity of matching the complexity of systems to that of their environments, multiscale analysis, and evolutionary processes. Our focus is on the general properties of systems as opposed to the modeling of specific dynamics; rather than provide a comprehensive review, we pedagogically describe a conceptual and analytic approach for understanding and interacting with the complex systems of our world. This paper assumes only a high school mathematical and scientific background so that it may be accessible to academics in all fields, decision-makers in industry, government, and philanthropy, and anyone who is interested in systems and society.

scholarly journals The emergence of consensus: a primer

2018 ◽  
Vol 5 (2) ◽  
pp. 172189 ◽  
Author(s):  
Andrea Baronchelli
Keyword(s):  
Game Theory ◽  
Social Networks ◽  
Complex Systems ◽  
Social Systems ◽  
Short Review ◽  
Systems Science ◽  
Social Consensus ◽  
Population Scale ◽  
Complex Systems Science

The origin of population-scale coordination has puzzled philosophers and scientists for centuries. Recently, game theory, evolutionary approaches and complex systems science have provided quantitative insights on the mechanisms of social consensus. However, the literature is vast and widely scattered across fields, making it hard for the single researcher to navigate it. This short review aims to provide a compact overview of the main dimensions over which the debate has unfolded and to discuss some representative examples. It focuses on those situations in which consensus emerges ‘spontaneously’ in the absence of centralized institutions and covers topics that include the macroscopic consequences of the different microscopic rules of behavioural contagion, the role of social networks and the mechanisms that prevent the formation of a consensus or alter it after it has emerged. Special attention is devoted to the recent wave of experiments on the emergence of consensus in social systems.

Complex Systems Science

2021 ◽  
pp. 243-256
Author(s):  
Matt Kasman ◽  
Nancy Breen ◽  
Ross A. Hammond
Keyword(s):  
Complex Systems ◽  
Systems Science ◽  
Complex Systems Science

How Complex Systems Science Can Revolutionize Population Health Theory

2020 ◽  
pp. 73-88
Author(s):  
Patricia Goodson
Keyword(s):  
Complex Systems ◽  
Population Health ◽  
Policy Development ◽  
Theory Building ◽  
Public Health Workforce ◽  
Systems Science ◽  
Complex Health Problems ◽  
Complex Systems Science ◽  
Health Theory ◽  
And Training

This chapter discusses whether and how complex systems science (CSS) can revolutionize population health theory. First, the chapter defines theory and the practice of theory-building (or theorizing); second, it outlines some of the difficulties found in current population health theorizing; lastly, it characterizes the mechanisms through which CSS can influence, change, and revolutionize current theorizing efforts. The chapter also describes two examples of scholars who used CSS to challenge currently held assumptions and reframe complex health problems. Lastly, the author addresses the implications—of adopting a CSS approach to theorizing—for practice, policy development, and training of the future public health workforce.

Bridging the Divide

2020 ◽  
pp. 3-14
Author(s):  
Yorghos Apostolopoulos
Keyword(s):  
Risk Factor ◽  
Complex Systems ◽  
Population Health ◽  
Health Science ◽  
The Other ◽  
Systems Science ◽  
Shared Understanding ◽  
Key Concepts ◽  
The One ◽  
Complex Systems Science

This chapter contextualizes the volume and describes its organization. It begins by delving into the limitations of the prevailing reductionist paradigm in population health science and the need for a transition from a typically risk factor–based science to a science that recognizes the whole and relationships among parts of pressing population health problems. Next, it walks readers through distinctions between public and population health on the one hand and key concepts of complexity on the other, while offering a shared understanding of population health science and complex systems science. The chapter also lays out the design of and potential audiences for this book.

scholarly journals Integrating complex systems science into road safety research and practice, part 1: review of formative concepts

2019 ◽  
Vol 26 (2) ◽  
pp. 177-183
Author(s):  
Rebecca B Naumann ◽  
Jill Kuhlberg ◽  
Laura Sandt ◽  
Stephen Heiny ◽  
Yorghos Apostolopoulos ◽  
...  
Keyword(s):  
Public Health ◽  
Complex Systems ◽  
Injury Prevention ◽  
Road Safety ◽  
Systems Science ◽  
Death Rates ◽  
Research And Practice ◽  
Safety Research ◽  
Complex Systems Science ◽  
Over Time

Many of our most persistent public health problems are complex problems. They arise from a web of factors that interact and change over time and may exhibit resistance to intervention efforts. The domain of systems science provides several tools to help injury prevention researchers and practitioners examine deep, complex and persistent problems and identify opportunities to intervene. Using the increase in pedestrian death rates as an example, we provide (1) an accessible overview of how complex systems science approaches can augment established injury prevention frameworks and (2) a straightforward example of how specific systems science tools can deepen understanding, with a goal of ultimately informing action.

scholarly journals Imaging as a Complex Systems Science

Radiology ◽  
2008 ◽  
Vol 249 (3) ◽  
pp. 1083-1083 ◽  
Author(s):  
Selda Tez ◽  
Mesut Tez
Keyword(s):  
Complex Systems ◽  
Systems Science ◽  
Complex Systems Science
Sign in / Sign up

Export Citation Format

Share Document