7 best complex systems social science

Finding your suitable complex systems social science is not easy. You may need consider between hundred or thousand products from many store. In this article, we make a short list of the best complex systems social science including detail information and customer reviews. Let’s find out which is your favorite one.

Best complex systems social science

Product Features Editor's score Go to site
Growing Artificial Societies: Social Science From the Bottom Up (Complex Adaptive Systems) Growing Artificial Societies: Social Science From the Bottom Up (Complex Adaptive Systems)
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An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (The MIT Press) An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (The MIT Press)
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Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity) Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
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Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks (Computational Social Sciences) Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks (Computational Social Sciences)
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Policy Practice and Digital Science: Integrating Complex Systems, Social Simulation and Public Administration in Policy Research (Public Administration and Information Technology) Policy Practice and Digital Science: Integrating Complex Systems, Social Simulation and Public Administration in Policy Research (Public Administration and Information Technology)
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Modeling Cities and Regions as Complex Systems: From Theory to Planning Applications (The MIT Press) Modeling Cities and Regions as Complex Systems: From Theory to Planning Applications (The MIT Press)
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Growing Inequality: Bridging Complex Systems, Population Health and Health Disparities Growing Inequality: Bridging Complex Systems, Population Health and Health Disparities
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Related posts:

1. Growing Artificial Societies: Social Science From the Bottom Up (Complex Adaptive Systems)

Description

How do social structures and group behaviors arise from the interaction of individuals? Growing Artificial Societies approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules.

In their program, named Sugarscape, Epstein and Axtell begin the development of a "bottom up" social science that is capturing the attention of researchers and commentators alike.

The study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the next century and to design policies to help achieve such a system.

Copublished with the Brookings Institution

2. An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo (The MIT Press)

Feature

Mit Press

Description

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples.

The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approachwith hundreds of examples and exercises using NetLogoenables readers to begin constructing models immediately, regardless of experience or discipline.

The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

3. Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)

Feature

Princeton University Press

Description

This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents.


John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

4. Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks (Computational Social Sciences)

Description

This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches.

This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state of the art. Part 2provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily.

Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health.

5. Policy Practice and Digital Science: Integrating Complex Systems, Social Simulation and Public Administration in Policy Research (Public Administration and Information Technology)

Description

The explosive growth in data, computational power, and social media creates new opportunities for innovating the processes and solutions of Information and communications technology(ICT) based policy-making and research. To take advantage of these developments in the digital world, new approaches, concepts, instruments and methods are needed to navigate the societal and computational complexity. This requires extensive interdisciplinary knowledge ofpublic administration, policy analyses, information systems, complex systems and computer science. This book provides the foundation for this new interdisciplinary field, in which various traditional disciplines are blending. Both policy makers, executors and those in charge of policy implementations acknowledge that ICT is becoming more important and is changing the policy-making process, resulting in a next generation policy-making based on ICT support. Web 2.0 and even Web 3.0 point to the specific applications of social networks, semantically enriched and linked data, whereas policy-making has also to do with the use of the vast amount of data, predictions and forecasts, and improving the outcomes of policy-making, which is confronted with an increasing complexity and uncertainty of the outcomes. The field of policy-making is changing and driven by developments like open data, computational methods for processing data, opining mining, simulation and visualization of rich data sets, all combined with public engagement, social media and participatory tools.

6. Modeling Cities and Regions as Complex Systems: From Theory to Planning Applications (The MIT Press)

Description

The theory and practice of modeling cities and regions as complex, self-organizing systems, presenting widely used cellular automata-based models, theoretical discussions, and applications.

Cities and regions grow (or occasionally decline), and continuously transform themselves as they do so. This book describes the theory and practice of modeling the spatial dynamics of urban growth and transformation. As cities are complex, adaptive, self-organizing systems, the most appropriate modeling framework is one based on the theory of self-organizing systemsan approach already used in such fields as physics and ecology. The book presents a series of models, most of them developed using cellular automata (CA), which are inherently spatial and computationally efficient. It also provides discussions of the theoretical, methodological, and philosophical issues that arise from the models. A case study illustrates the use of these models in urban and regional planning. Finally, the book presents a new, dynamic theory of urban spatial structure that emerges from the models and their applications.

The models are primarily land use models, but the more advanced ones also show the dynamics of population and economic activities, and are integrated with models in other domains such as economics, demography, and transportation. The result is a rich and realistic representation of the spatial dynamics of a variety of urban phenomena. The book is unique in its coverage of both the general issues associated with complex self-organizing systems and the specifics of designing and implementing models of such systems.

7. Growing Inequality: Bridging Complex Systems, Population Health and Health Disparities

Description

"This book begins the process of unraveling some of the most wicked problems in public health.
Tony Iton, MD, JD, MPHThe California Endowment

Growing evidence indicates that no single factorbut a system of intertwined causesexplains why Americas health is poorer than the health of other wealthy countries and why health inequities persist despite our efforts. Teasing apart the relationships between these many causes to find solutions has proven extraordinarily difficult. But now researchers are uncovering groundbreaking insights using computer-based systems science tools to simulate how these determinants come together to produce levels of population health and disparities and test new solutions.

The culmination of over five years of work by experts from a more than a dozen disciplines, this book represents a bold step forward in identifying why some populations are healthy and others are not. Describing a series of studies that apply the techniques of systems science, it shows how these tools can be used to increase our understanding of the individual, group, and institutional factors that generate a wide range of health and social problems. Most importantly, it demonstrates the utility and power of these techniques to both wisely guide our understanding and help policy makers know what works.

... an intellectually courageous undertaking. It faces up to the reality of complexity in the social determinants of health. Its achievements and its documentation of difficulties will serve as a valuable foundation for the next generation of scientists and scholars who aim to understand the determinants of health and of health disparities.
Harvey V. Fineberg, MD, PhD, President, Gordon and Betty Moore Foundation and Former President, the Institute of Medicine

...goes beyond the search for a simplistic answer to health disparities and instead embraces the complexity. This is exactly what is needed if we are to improve population health and eliminate disparities.
Thomas A. LaVeist, PhD, Chairman, Department of Health Policy & Management, Milken Institute School of Public Health, George Washington University

It is increasingly likely that in the non-distant future that population health policy will be fully informed by a coherent computational decision-support system that integrates data, analytics, systems modeling, forecasting, and cost-effectiveness. This book marks a serious movement toward that future.
Donald S. Burke, MD, Associate Vice Chancellor for Global Health, Dean, Graduate School of Public Health UPMC, Jonas Salk Professor of Global Health, Graduate School of Public Health, University of Pittsburgh

Recent review of Growing Inequality by Interdisciplinary Association of Population Health Science (IAPHS):
https://iaphs.org/book-review-complex-systems-population-health-insights-network-inequality-complexity-health/

International Journal of Epidemiology
a master-class in how to model and how to apply complexity thinking to public health problems.

American Journal of Preventive Medicine
A stronger capacity to understand complex systems would help medicine and public health. It would help us understand the surrounding ecosystem within which A and B operate; the unrecognized factors that shape outcomes; and the smartest system strategies for health care, public health, and social policy to maximize effectiveness. If this occurs, the field may look back at the book by Kaplan et al. as a seminal work that helped launch a new literature. If not, we will continue studying trees and ignoring the forest.

American Journal of Public Health:
The editors of Growing Inequality describe new computer-based systems science tools to simulate how social determinants of health disparities are occurring in many important public health outcomes and test new possible solutions.

Conclusion

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