scholarly journals Recreation as a Social-Ecological Complex Adaptive System

2020 ◽  
Vol 12 (3) ◽  
pp. 753 ◽  
Author(s):  
Wayde C. Morse
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Outdoor Recreation ◽  
Complex Adaptive System ◽  
Structuration Theory ◽  
Well Being ◽  
Recreation Management ◽  
Social Ecological ◽  
The Social ◽  
Complex Adaptive

The environment and society are both the context for and product of human actions and interactions. Outdoor recreation is the primary interaction many people have with the environment and it is an interaction that greatly contributes to human well-being. To sustainably manage the social and ecological components of outdoor recreation, an integrative and dynamic systems perspective is needed. Analyses that link recreation management and recreational experiences to both social and ecological outcomes across multiple sales and over time are not developed. This article will outline how a number of fragmented recreation management frameworks such as the recreation experience model, beneficial outcomes, the recreation opportunity spectrum, limits of acceptable change, and constraints theory can be organized within a larger social-ecological framework. The outdoor recreation meta-framework presented here links structuration theory from the social sciences with theories of complex adaptive systems and hierarchical patch dynamics from ecology to understand the human and ecological drivers for and responses to outdoor recreation.

scholarly journals The class as a learning entity (complex adaptive system): An idea from complexity science and educational research

2008 ◽  
Vol 2 ◽  
Author(s):  
Craig Newell
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Individual Student ◽  
Learning And Teaching ◽  
Complexity Thinking ◽  
The Social ◽  
Complex Adaptive ◽  
Social Collective

Educational theorists are making increasing use of the metaphors and concepts of complexity thinking in their discourses. In particular, Professors Brent Davis, Elaine Simmt, and Dennis Sumara have written extensively about using complexity thinking to shift attention from the individual student as the locus of learning (cognizing agent) to the social collective—the class—as the locus of learning. In this model, the class (students and teacher) is (potentially) a complex adaptive system. The students and teacher remain complex adaptive systems in their own right, but through dynamic local interactions there is the possibility of emergent behaviours indicative of learning that transcends that of the individuals within the class. The social collective we know as a class becomes an instance of the Aristotlean adage, “The whole is greater than the sum of its parts.” (With the coda that we cannot understand the whole by merely understanding the components.) Davis, Simmt, and Sumara have segued from complexity-informed descriptions of educational collectives to discussions about facilitating the self-organization of classes into complex adaptive systems – learning systems, in their language. In this paper, I discuss complex adaptive systems and look at how Davis, Simmt, and Sumara developed their thesis that the class collective, rather than individual student, is the appropriate level to investigate learning and teaching. We conclude by addressing some of the possibilities and challenges inherent in such a redescription of communities of learners.

scholarly journals Organizing Theories for Disasters into a Complex Adaptive System Framework

Urban Science ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 61
Author(s):  
Annetta Burger ◽  
William G. Kennedy ◽  
Andrew Crooks
Keyword(s):  
Human Behavior ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Complex Adaptive System ◽  
Disaster Studies ◽  
The Social ◽  
Complex Adaptive ◽  
Interacting Systems ◽  
Individual Actor ◽  
The Individual

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 need to recover from recurring disasters. Understanding human behavior and its interactions with built environments in disasters requires disciplinary crossover to explain its complexity, therefore we apply the lens of complex adaptive systems (CAS) to review disaster studies across disciplines. Disasters can be understood to consist of three interacting systems: (1) the physical system, consisting of geological, ecological, and human-built systems; (2) the social system, consisting of informal and formal human collective behavior; and (3) the individual actor system. Exploration of human behavior in these systems shows that CAS properties of heterogeneity, interacting subsystems, emergence, adaptation, and learning are integral, not just to cities, but to disaster studies and connecting them in the CAS framework provides us with a new lens to study disasters across disciplines. This paper explores the theories and models used in disaster studies, provides a framework to study and explain disasters, and discusses how complex adaptive systems can support theory building in disaster science for promoting more sustainable and resilient cities.

scholarly journals On the social dynamics of moisture recycling

2017 ◽  
Author(s):  
Patrick W. Keys ◽  
Lan Wang-Erlandsson
Keyword(s):  
Complex Adaptive Systems ◽  
Land Surface ◽  
Adaptive Systems ◽  
Water Cycle ◽  
Well Being ◽  
Social Dimensions ◽  
Sources And Sinks ◽  
Moisture Recycling ◽  
Social Ecological ◽  
The Social

Abstract. The biophysical phenomenon of terrestrial moisture recycling connects distant regions via the atmospheric branch of the water cycle. This process, whereby the land surface mediates evaporation to the atmosphere and the precipitation that falls downwind, is increasingly well-understood. However, recent studies highlight a need to consider an important and oft missing dimension – the social. Here, we explore the social dimensions of three case study countries with strong terrestrial moisture recycling: Mongolia, Niger, and Bolivia. Based on our case studies we present a set of three system archetypes that capture the core features of the Moisture Recycling Social Ecological Systems (MRSES): isolated, regional, and tele-coupled. We further explore the heterogeneity of human well-being within MRSES, by examining the characteristics of sources and sinks of moisture. We find that the sources and sinks of moisture can experience very different levels of human well-being, suggesting that power discontinuities must be included in the description of MRSES dynamics. We argue that geophysical tele-connections are complemented by social tele-couplings forming feedback loops, and consequently, complex adaptive systems. This exploration of the social dimensions of moisture recycling is part of an extension of the emerging discipline of socio-hydrology, and a suggestion for further exploration of new disciplines such as socio-meteorology or socio-climatology, within which the Earth system is considered as a co-evolutionary social-ecological system.

scholarly journals Multiple social network influences can generate unexpected environmental outcomes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. Yletyinen ◽  
G. L. W. Perry ◽  
P. Stahlmann-Brown ◽  
R. Pech ◽  
J. M. Tylianakis
Keyword(s):  
Social Networks ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Social Influences ◽  
Private Land ◽  
Environmental Interventions ◽  
Social Ecological Systems ◽  
Private Land Conservation ◽  
Social Ecological ◽  
Complex Adaptive

AbstractUnderstanding the function of social networks can make a critical contribution to achieving desirable environmental outcomes. Social-ecological systems are complex, adaptive systems in which environmental decision makers adapt to a changing social and ecological context. However, it remains unclear how multiple social influences interact with environmental feedbacks to generate environmental outcomes. Based on national-scale survey data and a social-ecological agent-based model in the context of voluntary private land conservation, our results suggest that social influences can operate synergistically or antagonistically, thereby enabling behaviors to spread by two or more mechanisms that amplify each other’s effects. Furthermore, information through social networks may indirectly affect and respond to isolated individuals through environmental change. The interplay of social influences can, therefore, explain the success or failure of conservation outcomes emerging from collective behavior. To understand the capacity of social influence to generate environmental outcomes, social networks must not be seen as ‘closed systems’; rather, the outcomes of environmental interventions depend on feedbacks between the environment and different components of the social system.

Complex Adaptive Systems Thinking Approach for Intelligence Base in Support of Intellectual Capital Management

2013 ◽  
pp. 122-141 ◽  
Author(s):  
Marc Rabaey
Keyword(s):  
Systems Thinking ◽  
Intellectual Capital ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Organizational Design ◽  
Complex Adaptive System ◽  
Holistic Approach ◽  
Holistic View ◽  
Complex Adaptive ◽  
Systems Thinking Approach

This chapter introduces Complex Adaptive Systems Thinking (CAST) into the domain of Intellectual Capital (IC). CAST is based on the theories of Complex Adaptive System (CAS) and Systems Thinking (ST). It argues that the CAST, combined with Intelligence Base offers a potentially more holistic approach to managing the Intellectual Capital of an organization. Furthermore, the authors extend this IC management with additional dimensions proper to a social entity such as an organization. New organizational design methods are needed and the capability approach is such a method that supports IC in virtual and real organizations. The characteristics of Intellectual Capital are discussed in the iterative process of inquiry and the Cynefin Framework, guaranteeing a holistic view on the organization and its environment.

Medical Education

2015 ◽  
pp. 2021-2034
Author(s):  
Joachim Sturmberg
Keyword(s):  
Medical Education ◽  
Health Professional ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Medical Condition ◽  
Well Being ◽  
Tertiary Hospital ◽  
Patient Centered ◽  
Semiotic Model ◽  
Complex Adaptive

The notion that the medical professions are grounded in sound social and philosophical commitments to human well-being and advancement is the very foundation of medicine since time in memoriam. Caring is the essential work of all health professionals, since most patients have no medical condition explainable by the mechanistic biomedical model. Health, illness, and disease, and biomedically defined disease distributions in the community follow a Pareto distribution (aka the 80/20 split) (i.e. only a minor percentage require tertiary hospital interventions). This chapter unravels important failures inherent in current medical education approaches – the misconceptions about science, the limitations inherent in the prevailing worldviews, the shaping of attitudes and behaviors resulting from social interactions in health professional institutions, and the impact of the lack of flexibility within health professional institutions. Positing that health is a personal dynamic balanced state, represented through a somato-psycho-socio-semiotic model, is the basis on which principles for a patient-centered educational approach are developed. Such a new curriculum would embrace the complex adaptive systems principle – focusing on the interdependencies between teachers and learners, allowing the curriculum to emerge over the course based on learners' clinical exposures and experiences, fostering a critical engagement with the multifaceted knowledge base of the disciplines, and most importantly, building the necessary resilience for handling, individually and collectively, the emotional demands of caring.

The Role of Evolutionary Studies in Education for Sustainable Development

2019 ◽  
pp. 249-272 ◽  
Author(s):  
Dustin Eirdosh ◽  
Susan Hanisch
Keyword(s):  
Sustainable Development ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Integrated Approach ◽  
Education For Sustainable Development ◽  
Ecological Systems ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Evolutionary Studies ◽  
Complex Adaptive

Evolutionary Studies (EvoS) examines the emergence and persistence of complex adaptive systems, including human social-ecological systems. Education for Sustainable Development (ESD) aims to empower students with the skills to develop and sustain human social-ecological systems that reflect the shared values of our species. The aims of EvoS and ESD have clear overlaps, and yet these two fields remain as distant islands of thought with few academic bridges between them. This chapter explores the connections between EvoS and ESD from historical, theoretical, and applied perspectives and presents the value of an integrated approach. The authors argue the strengths of this approach include its cumulative evidence base from wide-ranging disciplines, its explanatory power, and its overall simplicity.

scholarly journals Holonic Handling the Unexpected in Project Management

2017 ◽  
Vol 2 (1) ◽  
pp. 137-143
Author(s):  
Levente Bakos ◽  
Dănuț Dumitrașcu
Keyword(s):  
Risk Assessment ◽  
Project Management ◽  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
Complex Adaptive System ◽  
Project Team ◽  
Abductive Reasoning ◽  
Multi Agent Systems ◽  
Complex Adaptive ◽  
Known Unknowns

Abstract Risk assessment is one the key activities of any project. The unexpected situations can have catastrophic consequences. Risk assessment tries to estimate to potential known unknowns, but there is no guarantee to foresee all circumstances around a project. In this situation the project team must be adaptive and find solutions by cooperation, creativity and abductive reasoning. In the paper we tried to analyse on what extent a project and a project team can be handled as a complex adaptive system. More precisely, how the scientific and practical achievements of the theory of complex adaptive systems (CAS) can be used in project management. More exactly, we analyse the applicability of the Holonic Multi-Agent Systems in risk management of the projects. We consider the way in which holons handle the unexpected situations can be a model in project management.

scholarly journals Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
Paul Brous ◽  
Marijn Janssen ◽  
Paulien Herder
Keyword(s):  
Complex Adaptive Systems ◽  
Asset Management ◽  
Adaptive Systems ◽  
New Technologies ◽  
Complex Adaptive System ◽  
Emergent Behavior ◽  
Data Infrastructure ◽  
Management Domain ◽  
Complex Adaptive ◽  
Data Infrastructures

Organizations are increasingly looking to adopt the Internet of Things (IoT) to collect the data required for data-driven decision-making. IoT might yield many benefits for asset management organizations engaged in infrastructure asset management, yet not all organizations are equipped to handle this data. IoT data is collected, stored, and analyzed within data infrastructures and there are many changes over time, resulting in the evolution of the data infrastructure and the need to view data infrastructures as complex adaptive systems (CAS). Such data infrastructures represent information about physical reality, in this case about the underlying physical infrastructure. Physical infrastructures are often described and analyzed in literature as CASs, but their underlying data infrastructures are not yet systematically analyzed, whereas they can also be viewed as CAS. Current asset management data models tend to view the system from a static perspective, posing constraints on the extensibility of the system, and making it difficult to adopt new data sources such as IoT. The objective of the research is therefore to develop an extensible model of asset management data infrastructures which helps organizations implement data infrastructures which are capable of evolution and aids the successful adoption of IoT. Systematic literature review and an IoT case study in the infrastructure management domain are used as research methods. By adopting a CAS lens in the design, the resulting data infrastructure is extendable to deal with evolution of asset management data infrastructures in the face of new technologies and new requirements and to steadily exhibit new forms of emergent behavior. This paper concludes that asset management data infrastructures are inherently multilevel, consisting of subsystems, links, and nodes, all of which are interdependent in several ways.

Speech as a breakthrough signaling resource in the cognitive evolution of biological complex adaptive systems

2014 ◽  
Vol 37 (6) ◽  
pp. 563-564 ◽  
Author(s):  
Tobias A. Mattei
Keyword(s):  
Complex Adaptive Systems ◽  
Adaptive Systems ◽  
System Analysis ◽  
Complex Adaptive System ◽  
Brain Structures ◽  
Human Cognition ◽  
Evolutionary Development ◽  
Complex Adaptive ◽  
Triggering Events ◽  
The Brain

AbstractIn self-adapting dynamical systems, a significant improvement in the signaling flow among agents constitutes one of the most powerful triggering events for the emergence of new complex behaviors. Ackermann and colleagues' comprehensive phylogenetic analysis of the brain structures involved in acoustic communication provides further evidence of the essential role which speech, as a breakthrough signaling resource, has played in the evolutionary development of human cognition viewed from the standpoint of complex adaptive system analysis.

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