Complexity Science Resources 2018-12-10T13:28:15+00:00

Social Complexity Research (12)

  • What is Social Resilience?

    What is Social Resilience?
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    Over the last decade, a growing body of literature has emerged which is concerned with the question of what form a promising concept of social resilience might take. In this article we argue that social resilience has the potential to be crafted into a coherent analytic framework that can build on scientific knowledge from the established concept of social vulnerability, and offer a fresh perspective on today’s challenges of global change.

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  • Estimatin of Social Entropy

    Estimatin of Social Entropy
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    The history of Extension Education in India is inevitably flamboyant with a proadoption approach in transfer of technology mode. The much acclaimed Green Revolution in India had been instrumental so far and so on, as some might demand, with transfer of exotic technology, external supply of input and a supply driven knowledge concept. A plethora of extension programs may be bracketed with this so called ‘Transfer of Technology’ mode.

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  • Computational Social Science

    Computational Social Science
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    We live life in the network. We check our e-mails regularly, make mobile phone calls from almost any location, swipe transit cards to use public transportation, and make purchases with credit cards.

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  • The Self-Organization of Social Movements

    The Self-Organization of Social Movements
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    The New Social Movement Approach and the Resource Mobilization Approach are the dominant approaches in social movement research. They focus either on macro-aspects and externalism or on micro-aspects and internalism.

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  • Complex Adaptive Systems in the Behavioral and Social Sciences

    Complex Adaptive Systems in the Behavioral and Social Sciences
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    This article examines applications of complexity theory within the behavioral and social sciences. Specific attention is given to the fundamental characteristics of complex adaptive systems (CAS)–such as individuals, groups, and societies– including the underlying structure of CAS, the internal dynamics of evolving CAS, and how CAS respond to their environment.

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  • Sociology, Chaos Theory & Complexity Science

    Sociology, Chaos Theory & Complexity Science
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    The ‘new science’ of complexity and chaos theory has grown rapidly in the last three decades aided enormously by the quantum expansion of computers and computing applications. Responding to the energy and enthusiasm of complexity scientists and publicists, social theorists have assimilated concepts of complexity and its potential impacts on sociological theory and social research.

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  • Modelling Culture with Complex, Multi-dimensional, Multi-agent Systems

    Modelling Culture with Complex, Multi-dimensional, Multi-agent Systems
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    Culture plays a significant role in human civilizations as a key determinant of relationships and organization formation, however, its role, key properties, and mechanisms are not yet fully understood. This work explores culture and cultural modelling from a complex systems, multi-dimensional, and multi-agency standpoint.

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  • A Network Theory of Social Capital

    A Network Theory of Social Capital
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    The concept of “social capital “has captured the imagination and attention of a wide range of scholars and professionals in diverse disciplines and practical arenas. Since the notion of social capital has generated multiple definitions, conceptualizations and empirical measurements…

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  • Governance: Prospects of Complexity Theory in Revisiting System Theory

    Governance: Prospects of Complexity Theory in Revisiting System Theory
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    The broadest meaning of governance is the regulation of social activities utilizing a variety of modes and mechanism of societal regulation. These range from collectively binding decisions to uncoordinated individual action guided by social norms and rationality principles. In the political science literature of the 1950s and 1960s this theoretical problem was treated in terms of “control” and “regulation” by variants of system theory.

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  • On Network Theory

    On Network Theory
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    Research on social networks has grown considerably in the last decade. However, there is a certain amount of confusion about network theory—for example, what it is, what is distinctive about it, and how to generate new theory. This paper attempts to remedy the situation by clarifying the fundamental concepts of the field (such as the network) and characterizing how network reasoning works.

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  • Networks and Institutions

    Networks and Institutions
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    Research on institutions and networks has proceeded on largely separate trajectories over the past few decades. The former is more associated with work in organizational and political sociology, and the latter serves as the wellspring of research in economic sociology. To be sure, a number of loose linkages exist between the subfields.

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  • A Complex Systems Approach to the Study of Ideology

    A Complex Systems Approach to the Study of Ideology
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    We propose a complex systems approach to the study of political belief systems, to overcome some of the fragmentation in the current scholarship on ideology. We review relevant work in psychology, sociology, and political science and identify major cleavages in the literature: the spatial vs. non-spatial divide…

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Complexity Economics Research (12)

  • What Should Policymakers Know About Economic Complexity?

    What Should Policymakers Know About Economic Complexity?
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    This essay is written with two goals. The first is to outline the main ideas underlying the growing study of complex economic environments. The second is to suggest areas of public policy where those ideas might be important. Both goals are necessarily speculative. The study of complex systems, whether natural or social, is still in its infancy.

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  • Path Dependence: ‘Historical Economics’

    Path Dependence: ‘Historical Economics’
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    The concept of path dependence refers to a property of contingent, non-reversible dynamical processes, including a wide array of biological and social processes that can properly be described as ‘evolutionary’. To dispel existing confusions in the literature, and clarify the meaning and significance of path dependence for economists…

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  • Economic Networks: What Do We Know?

    Economic Networks: What Do We Know?
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    We examine the emergent field of economic networks and explore its ability to shed light on the global and volatile economy where credit, ownership, innovation, investment, and virtually every other economic activity is carried at a scale and scope that respects no geographical, organizational, or political boundaries.

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  • From Simplistic to Complex Systems in Economics

    From Simplistic to Complex Systems in Economics
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    The applicability of complex systems theory in economics is evaluated and compared with standard approaches to economic theorizing based upon constrained optimization. A complex system is defined in the economic context and differentiated from complex systems in physiochemical and biological settings.

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  • Complexity Economics: A Different Framework for Economic Thought

    Complexity Economics: A Different Framework for Economic Thought
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    This paper provides a logical framework for complexity economics. Complexity economics builds from the proposition that the economy is not necessarily in equilibrium: economic agents (firms, consumers, investors) constantly change their actions and strategies in response to the outcome they mutually create.

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  • Fundamentals of Complex Evolving Systems

    Fundamentals of Complex Evolving Systems
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    Complex Evolving Systems (CES) are definitely not everyone´s bag – they are certainly not on the menu list of the favourite subjects of so-called “Mainstream Economics”. There are reasons for that, but they are not good enough. Therefore, this Primer is intended to help economists cover a deficit in understanding which is not only glaring but – given the current state of the world – has become patently unacceptable.

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  • Why is Economics not a Complex Systems Science?

    Why is Economics not a Complex Systems Science?
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    Economics is viewed as a discipline that is mainly concerned with ‘simplistic’ theorizing, centered upon constrained optimization. As such, it is ahistorical and outcome focused, ie, it does not deal with economic processes. It is argued that all parts of the economy are inhabited by complex adaptive systems operating in complicated historical contexts and that this should be acknowledged at the core of economic analysis.

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  • The Stock Market as a Complex Adaptive System

    The Stock Market as a Complex Adaptive System
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    It is time to shift the emphasis of the debate about market efficiency. Most academics and practitioners agree that markets are efficient by a reasonable operational criterion: there is no systematic way to exploit opportunities for superior gains.

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  • Rethinking Economics Using Complexity Theory

    Rethinking Economics Using Complexity Theory
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    In this paper we argue that if we want to find a more satisfactory approach to tackling the major socio-economic problems we are facing, we need to thoroughly rethink the basic assumptions of macroeconomics and financial theory. Making minor modifications to the standard models to remove “imperfections” is not enough, the whole framework needs to be revisited.

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  • The Building Blocks of Economic Complexity

    The Building Blocks of Economic Complexity
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    For Adam Smith, wealth was related to the division of labor. As people and firms specialize in different activities, economic efficiency increases, suggesting that development is associated with an increase in the number of individual activities and with the complexity that emerges from the interactions between them.

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  • Economic Complexity and Human Development

    Economic Complexity and Human Development
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    This book combines the human development approach and innovation economics in order to explore the effects that structural economic change has on human development. While economic diversification can provide valuable new social choices and capabilities, it also tends to lead to more complex decision processes and changes to the set of capabilities required by people to self-determine their future.

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  • The Nature of Heterodox Economics

    The Nature of Heterodox Economics
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    Recent years have seen the emergence of numerous activities in economics identified first and foremost as heterodox. For example 1999 witnessed the formation of the Association for Heterodox Economics (AHE), an organisation that now sponsors an annual conference, postgraduate training workshops and more

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Systems Ecology Research (12)

  • Far-From-Equilibrium Physics: An Overview

    Far-From-Equilibrium Physics: An Overview
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    Isolated systems tend to evolve towards equilibrium, a special state that has been the focus of many-body research for a century. Yet much of the richness of the world around us arises from conditions far from equilibrium. Phenomena such as turbulence, earthquakes, fracture, and life itself occur only far from equilibrium.

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  • Social complexity and sustainability

    Social complexity and sustainability
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    Social complexity and sustainability emerge from successful problem solving, rather than directly from environmental conditions. Social complexity develops from problem solvingat all scales from local to national and international. Complexity in problem solving is an economic function, and can both support and hinder sustainability. Sustainability outcomes may take decades or centuries to develop.

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  • Ecological Networks & Their Fragility

    Ecological Networks & Their Fragility
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    Darwin used the metaphor of a ‘tangled bank’ to describe the complex interactions between species. Those interactions are varied: they can be antagonistic ones involving predation, herbivoryand parasitism, or mutualistic ones, such as those involving the pollination of flowers by insects.

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  • Understanding the Complexity of Economic, Ecological, and Social Systems

    Understanding the Complexity of Economic, Ecological, and Social Systems
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    Hierarchies and adaptive cycles comprise the basis of ecosystems and social-ecological systems across scales. Together they form a panarchy. The panarchy describes how a healthy system can invent and experiment, benefiting from inventions that create opportunity while being kept safe from those that destabilize because of their nature or excessive exuberance.

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  • Complexity, Modeling, and Natural Resource Management

    Complexity, Modeling, and Natural Resource Management
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    This paper contends that natural resource management (NRM) issues are, by their very nature, complex and that both scientists and managers in this broad field will benefit from a theoretical understanding of complex systems.

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  • Regime Shifts Resilience & Biodiversity

    Regime Shifts Resilience & Biodiversity
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    We review the evidence of regime shifts in terrestrial and aquatic environments in relation to resilience of complex adaptive ecosystems and the functional roles of biological diversity in this context. The evidence reveals that the likelihood of regime shifts may increase when humans reduce resilience by such actions as removing response diversity, removing whole functional…

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  • Continuity and Change in Social-ecological Systems: the Role of Institutional Resilience

    Continuity and Change in Social-ecological Systems: the Role of Institutional Resilience
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    In recent years recurring political, economic, and environmental crises require questioning and re-evaluating dominant pathways of human development. However, political and economic frameworks seem to encompass deeply rooted resistance to fundamental changes (e.g., global financial crisis, climate change negotiations). In an effort to repair the system as fast as possible, those paradigms, mechanisms, and structures that led into the crisis are perpetuated. Instead of preserving conventional patterns and focusing on continuity, crises could be used as an opportunity for learning, adapting, and entering onto more sustainable pathways.

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  • Resilience: Perspective for Social–Ecological Systems Analyses

    Resilience: Perspective for Social–Ecological Systems Analyses
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    The resilience perspective is increasingly used as an approach for understanding the dynamics of social–ecological systems. This article presents the origin of the resilience perspective and provides an overview of its development to date. With roots in one branch of ecology and the discovery of multiple basins of attraction in ecosystems in the 1960–1970s, it inspired social and environmental scientists to challenge the dominant stable equilibrium view. The resilience approach emphasizes non-linear dynamics, thresholds, uncertainty and surprise, how periods of gradual change interplay with periods of rapid change and how such dynamics interact across temporal and spatial scales.

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  • Complex Systems Theory and Biodynamics

    Complex Systems Theory and Biodynamics
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    Systems biology is a biology-based inter-disciplinary study field that focuses on the systematic study of complex interactions in biological systems, thus using a new perspective (holism instead of reduction) to study them. Particularly from year 2000 onwards, the term is used widely in the biosciences, and in a variety of contexts.

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  • Complex Systems & Valuation

    Complex Systems & Valuation
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    Ecological and economic systems are undeniably complex. Whereas a goal of delineating ‘ecosystem services’ is to make readily apparent some of the important ways in which ecosystems underpin human welfare, insights are also gained by appreciating the nonlinear dynamic properties of ecosystems. In this paper, we review some of the relevant characteristics of complex systems.

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  • Ecosystems and the Biosphere as Complex Adaptive Systems

    Ecosystems and the Biosphere as Complex Adaptive Systems
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    Ecosystems are prototypical examples of complex adaptive systems, in which patterns at higher levels emerge from localized interactions and selection processes acting at lower levels. An essential aspect of such systems is nonlinearity, leading to historical dependency and multiple possible outcomes of dynamics.

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  • Complexity in Ecological Systems

    Complexity in Ecological Systems
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    Ecology has been eminently a descriptive science despite some pioneering work by theoreticians such as Lotka, Volterra, Nicholson, and others. Description is a first step toward understanding a system. However, such a first step needs to be accompanied by the development of a theoretical framework in order to achieve real insight and, whenever possible, predictive power.

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Complexity Science Research (3)

  • Complexity Science

    Complexity Science
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    We need to start thinking about the world in a new way, because in some fundamental and essential respects our world has changed its character. We need to shift from seeing the world as composed largely of simple machines to seeing it as composed mainly of complex systems. Seeing the world as composed mainly of simple machines might have been appropriate several decades ago: we commonly thought of our economy, the natural resource systems we were exploiting, and our societies in general as machines that were analogous, essentially, to a windup clock.

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  • A Complexity Science Primer

    A Complexity Science Primer
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    This paper is called a 'primer' because it is intended to be a first step in understanding complexity science. In house painting, the primer or prime coat is not the finished surface. A room with a primer on the walls often looks worse than before the painting began.

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  • Nonlinearity in Complexity Science

    Nonlinearity in Complexity Science
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    Complexity Science is experiencing a new vogue. The doubts of the previous decade (e.g. [Ho]) seem to have lost their force. Stephen Hawking declared that the 21st century “will be the century of complexity” [Ha]. Complexity Science is receiving serious funding from the European Commission, UK Engineering and Physical Sciences Research Council, and other agencies.

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Social Complexity Course (3)

  • Social and Economic Networks: Models and Analysis

    Social and Economic Networks: Models and Analysis
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    Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

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  • PhD Program in Complex Systems and Brain Sciences

    PhD Program in Complex Systems and Brain Sciences
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    Complex Systems and Brain Scientists use mathematical models and experimental measurements to study the mechanisms that underlie complex behavior in systems from molecules and cells to the brain and groups of people. This new knowledge deals with the functioning of the normal brain, the treatment of neurological diseases, and possible rehabilitation, from early childhood to old age.

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  • Graduate Workshop in Computational Social Science

    Graduate Workshop in Computational Social Science
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    The workshop will bring together a group of advanced graduate students and a small faculty for an intensive two week study of computational social science modeling and complexity. The workshop will consist of lectures by faculty, special topic seminars by members of the Santa Fe Institute, and presentations of work in progress by graduate student participants. The primary goal of the summer workshop is to assist graduate students pursuing research agendas which includes a computational modeling component. A significant portion of the workshop will be devoted to analyzing and improving research being conducted by the graduate student participants.

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Complexity Economics course (1)

  • Oxford Summer School in Economic Networks

    Oxford Summer School in Economic Networks
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    The Oxford Summer School in Economic Networks will bring together students from a range of disciplines for a week to learn about the techniques, applications and impact of network theory in economics and development. We will have globally leading experts guide lectures and interactive workshops on topics such as social networks, games and learning, financial networks, economic complexity and urban systems.

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Systems Ecology course (2)

  • MIT Open Courseware: Modeling Environmental Complexity

    MIT Open Courseware: Modeling Environmental Complexity
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    Course Description: This course provides an introduction to the study of environmental phenomena that exhibit both organized structure and wide variability — i.e., complexity. Through focused study of a variety of physical, biological, and chemical problems in conjunction with theoretical models, we learn a series of lessons with wide applicability to understanding the structure and organization of the natural world. Students will also learn how to construct minimal mathematical, physical, and computational models that provide informative answers to precise questions.

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  • Dynamics of Complex Systems: Complexity in Ecology

    Dynamics of Complex Systems: Complexity in Ecology
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    Course Description: In this class we will critically review both classical works and recent literature on complexity in ecology. The emphasis will be on developing quantitative theories in the context of experimental and observational data. We will meet twice weekly for roundtable discussions.

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Social Complexity Books (5)

  • Simulating Social Complexity: A Handbook

    Simulating Social Complexity: A Handbook
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    Social systems are among the most complex known. This poses particular problems for those who wish to understand them. The complexity often makes analytic approaches infeasible and natural language approaches inadequate for relating intricate cause and effect.

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  • Complexity Theory and the Social Sciences

    Complexity Theory and the Social Sciences
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    For the past two decades, ‘complexity’ has informed a range of work across the social sciences. There are diverse schools of complexity thinking, and authors have used these ideas in a multiplicity of ways, from health inequalities to the organization of large scale firms. Some understand complexity as emergence from the rule-based interactions of simple agents and explore it through agent-based modelling.

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  • Social Complexity, A Hidden World

    Social Complexity, A Hidden World
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    Most of us would agree that our human social world is complex, but what does that mean? There is a rich literature and tradition around human social dynamics and also around complexity, but both are largely founded on Enlightenment thinking and are significantly influenced by positivistic or post-positivistic paradigms.

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  • A New Philosophy of Society: Assemblage Theory and Social Complexity

    A New Philosophy of Society: Assemblage Theory and Social Complexity
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    Manuel DeLanda is a distinguished writer, artist and philosopher. In his new book, he offers a fascinating look at how the contemporary world is characterized by an extraordinary social complexity. Since most social entities, from small communities to large nation-states, would disappear altogether if human minds ceased to exist, Delanda proposes a novel approach to social ontology that asserts the autonomy of social entities from the conceptions we have of them

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  • Relational Sociology: A New Paradigm for the Social Sciences

    Relational Sociology: A New Paradigm for the Social Sciences
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    ‘Simultaneous invention’ has become commonplace in the natural sciences, but is still virtually unknown within the sphere of social science. The convergence of two highly compatible versions of Critical Realism from two independent sources is a striking exception. Pierpaolo Donati’s Relational Sociology develops ‘upwards’ from sociology into a Realist meta-theory, unlike Roy Baskhar’s philosophy of science that works ‘downwards’ and ‘underlabours’ for the social sciences.

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Complexity Economics Books (4)

  • The Origin of Wealth

    The Origin of Wealth
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    Over 6.4 billion people participate in a $36.5 trillion global economy, designed and overseen by no one. How did this marvel of self-organized complexity evolve? How is wealth created within this system? And how can wealth be increased for the benefit of individuals, businesses, and society? In The Origin of Wealth, Eric D. Beinhocker argues that modern science provides a radical perspective on these age-old questions, with far-reaching implications.

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  • Complexity and the Economy

    Complexity and the Economy
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    Economics is changing. In the last few years it has generated a number of new approaches. One of the most promising - complexity economics - was pioneered in the 1980s and 1990s by a small team at the Santa Fe Institute. Economist and complexity theorist W. Brian Arthur led that team, and in this book he collects many of his articles on this new approach. The traditional framework sees behavior in the economy as in an equilibrium steady state. People in the economy face well-defined problems and use perfect deductive reasoning to base their actions on.

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  • Complexity in Economics

    Complexity in Economics
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    In this book, leading experts discuss innovative components of complexity theory and chaos theory in economics. The underlying perspective is that investigations of economic phenomena should view these phenomena not as deterministic, predictable and mechanistic but rather as process dependent, organic and always evolving. The aim is to highlight the exciting potential of this approach in economics and its ability to overcome the limitations of past research and offer important new insights.

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  • The Microeconomics of Complex Economies

    The Microeconomics of Complex Economies
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    The Microeconomics of Complex Economies uses game theory, modeling approaches, formal techniques, and computer simulations to teach useful, accessible approaches to real modern economies. It covers topics of information and innovation, including national and regional systems of innovation; clustered and networked firms; and open-source/open-innovation production and use. Its final chapter on policy perspectives and decisions confirms the value of the toolset.

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Systems Ecology Books (3)

  • Toward a Unified Ecology (Complexity in Ecological Systems)

    Toward a Unified Ecology (Complexity in Ecological Systems)
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    The first edition of Toward a Unified Ecology was ahead of its time. For the second edition, the authors present a new synthesis of their core ideas on evaluating communities, organisms, populations, biomes, models, and management. The book now places greater emphasis on post-normal critiques, cognizant of ever-present observer values in the system. The problem it addresses is how to work holistically on complex things that cannot be defined, and this book continues to build an approach to the problem of scaling in ecosystems.

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  • Introduction to Systems Ecology

    Introduction to Systems Ecology
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    Possibly the first textbook to present a practically applicable ecosystems theory, Introduction to Systems Ecology helps readers understand how ecosystems work and how they react to disturbances. It demonstrates—with many examples and illustrations—how to apply the theory to explain observations and to make quantitative calculations and predictions. In this book, Sven Erik Jørgensen takes a first step toward integrating thermodynamics, biochemistry, hierarchical organization, and network theory into a holistic theory of systems ecology.

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  • Ecological and General Systems

    Ecological and General Systems
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    Using an energy systems language that combines energetics, kinetics, information, cybernetics, and simulation, Ecological and General Systems compares models of many fields of science, helping to derive general systems principles. First published as Systems Ecology in 1983, Ecological and General Systems proposes principles of self-organization and the designs that prevail by maximizing power and efficiency. Comparisons to fifty other systems languages are provided.

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Nonlinear Physics Books (4)

  • Nonlinear Physics for Beginners

    Nonlinear Physics for Beginners
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    Almost all real systems are nonlinear. For a nonlinear system the superposition principle breaks down: The system's response is not proportional to the stimulus it receives; the whole is more than the sum of its parts. The three parts of this book contains the basics of nonlinear science, with applications in physics. Part I contains an overview of fractals, chaos, solitons, pattern formation, cellular automata and complex systems. In Part II, 14 reviews and essays by pioneers, as well as 10 research articles are reprinted. Part III collects 17 students projects, with computer algorithms for simulation models included.

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  • Nonlinear Dynamics and Chaos

    Nonlinear Dynamics and Chaos
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    This textbook is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors.

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  • Introduction to Nonlinear Physics

    Introduction to Nonlinear Physics
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    This textbook provides an introduction to the new science of nonlinear physics for advanced undergraduates, beginning graduate students, and researchers entering the field. The chapters, by pioneers and experts in the field, share a unified perspective. Nonlinear science developed out of the increasing ability to investigate and analyze systems for which effects are not simply linear functions of their causes; it is associated with such well-known code words as chaos, fractals, pattern formation, solitons, cellular automata, and complex systems.

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  • Introduction to the Mathematical Physics of Nonlinear Waves

    Introduction to the Mathematical Physics of Nonlinear Waves
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    Nonlinear physics is a well-established discipline in physics today, and this book offers a comprehensive account of the basic soliton theory and its applications. Although primarily mathematical, the theory for nonlinear phenomena in practical environments needs to be understood at upper undergraduate level, with particular attention given to the presence of media where nonlinearity takes place. This book addresses mathematical theories, but also suggests possible theoretical innovations for many issues, providing a stimulating reference for both students and researchers.

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Nonlinear Physics Course (2)

  • Nonlinear Dynamics and Chaos MIT

    Nonlinear Dynamics and Chaos MIT
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    This graduate level course focuses on nonlinear dynamics with applications. It takes an intuitive approach with emphasis on geometric thinking, computational and analytical methods and makes extensive use of demonstration software.

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  • Nonlinear Dynamics: Mathematical and Computational Approaches

    Nonlinear Dynamics: Mathematical and Computational Approaches
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    This course provides a broad introduction to the field of nonlinear dynamics, focusing both on the mathematics and the computational tools that are so important in the study of chaotic systems. The course is aimed at students who have had at least one semester of college-level calculus and physics, and who can program in at least one high-level language

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Nonlinear Physics Research (3)

  • Teaching Nonlinear Dynamics and Chaos for Beginners - Dialnet

    Teaching Nonlinear Dynamics and Chaos for Beginners - Dialnet
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    We describe a course in Nonlinear Dynamics for undergraduate students of the first years of Chemical Engineering, Environmental Sciences and Computer Sciences. An extensive use of computational tools, the internet and laboratory experiments are key ingredients of the course. Even though their previous background in physics and mathematics might be limited, our experience shows that an appropriate selection of the contents with the use of some conceptual introductory ideas and multimedia techniques are an excellent way to introduce Nonlinear Dynamics and Chaos for beginners.

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  • Nonlinear dynamics: Challenges and perspectives

    Nonlinear dynamics: Challenges and perspectives
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    The study of nonlinear dynamics has been an active area of research since 1960s, after certain path-breaking discoveries, leading to the concepts of solitons, integrability, bifurcations, chaos and spatio-temporal patterns, to name a few. Several new techniques and methods have been developed to understand nonlinear systems at different levels. Along with these, a multitude of potential applications of nonlinear dynamics have also been enunciated. In spite of these developments, several challenges, some of them fundamental and others on the efficacy of these methods in developing cutting edge technologies, remain to be tackled. In this article, a brief personal perspective of these issues is presented.

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  • Basic Concepts in Nonlinear Dynamics and Chaos

    Basic Concepts in Nonlinear Dynamics and Chaos
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    dynamic system is a set of functions (rules, equations) that specify how variables change over time

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Complexity Science Videos (5)

  • Conway's Game of Life

    Conway's Game of Life
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    A simulation of Conway's classic cellular automata The Game of Life

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  • Complexity Methods - John Holland

    Complexity Methods - John Holland
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    Complex adaptive systems (CAS) – systems such as ecosystems, markets, and the immune system – pose some of the most important problems of the 21st century. Because CAS have no central executive and are made up of diverse agents that learn and adapt as they interact, they are difficult to steer. This difficulty persists even though we have large databases for many CAS.

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  • Complexity science and the role of mathematical modeling

    Complexity science and the role of mathematical modeling
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    Tassos Bountis is a Professor at the Department of Mathematics at University of Patras in Greece. As well as lecturing at the University he is also the director of the Center for Research and Application of Nonlinear Systems at the University of Patras.

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  • Modeling Complex Systems

    Modeling Complex Systems
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    Stanford Complexity Group lecture on the Mathematics of Complexity

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  • Complex adaptive systems - Igor Nikolic

    Complex adaptive systems - Igor Nikolic
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    Igor Nikolic graduated in 2009 on his dissertation: co-evolutionary process for modelling large scale socio-technical systems evolution. He received his MSc as a chemical-- and bioprocess engineer at the Delft University of Technology. He spent several years as an environmental researcher and consultant at University of Leiden where he worked on life cycle analysis and industrial ecology. In his research he specializes in applying complex adaptive systems theory and agent based modeling.

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Social Complexity Videos (12)

  • What is Social Network Analysis?

    What is Social Network Analysis?
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    The focus of social network analysis is on the network of relations. A social network consists of a set of actors (also called nodes or vertices) together with a set of edges (also called arcs) that link pairs of actors. Since edges can share actors (e.g., the A.B edge shares an actor with the B.C edge) this creates a connected web that we think of as a network.

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  • Systems Thinking for Social Change with David Stroh

    Systems Thinking for Social Change with David Stroh
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    David Stroh presents a talk about using Systems Thinking to address complex social issues, using his work in homelessness problems as an example of how overlapping desires, interests, and measurements create unintended effects.

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  • Why make an agent based model?

    Why make an agent based model?
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    This video explains why it is helpful to make an Agent Based Model and what the benefits are of creating a model for understanding human behaviour rather than recreating such an experiment in a laboratory setting.

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  • Methodological Individualism

    Methodological Individualism
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    Video lecture explaining Methodological Individualism

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  • Schemata

    Schemata
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    Cognitive Behavioural Therapist John Anderson explains the term "schemata".

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  • Complex Systems Symposium: Session One Keynote Speech

    Complex Systems Symposium: Session One Keynote Speech
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    This special Dartmouth symposium focused on the role of engineering sciences in complex systems and explored the key challenges that arise from engineering networks of collaborative agents.

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  • Complex Systems Symposium: Session One Panel

    Complex Systems Symposium: Session One Panel
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    This special Dartmouth symposium focused on the role of engineering sciences in complex systems and explored the key challenges that arise from engineering networks of collaborative agents.

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  • The Myth of Common Sense: Why Everything that Seems Obvious Isn't

    The Myth of Common Sense: Why Everything that Seems Obvious Isn't
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    Relying on "common sense" is the sensible thing to do, right? Not always. Although common sense can be useful for dealing with everyday problems, it can suffer from systematic failures when applied to complex problems in government, business, and marketing. Physicist-turned-sociologist Duncan Watts shows how we get duped by our shared assumptions and demonstrated how learning to question common sense can lead to better solutions.

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  • Collapse of Complex Societies by Dr. Joseph Tainter

    Collapse of Complex Societies by Dr. Joseph Tainter
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    The collapse of complex societies of the past can inform the present on the risks of collapse. Dr. Joseph Tainter, author of the book The Collapse of Complex societies, and featured in Leonardo Dicaprio's film The Eleventh Hour, details the factors that led to the collapse of past civilizations including the Roman Empire.

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  • Introduction to Social Complexity

    Introduction to Social Complexity
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    This video will focus on social complex systems that exists of people. It talks about what differentiates these social complex systems from general complex systems that exist in nature. This comes from the ideas of the famous economist Friedrich Hayek. This video emphasises the importance of realising that social scientists are part of the systems they study.

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  • Emergence of Complex Societies

    Emergence of Complex Societies
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    How and why the state emerged in human history.

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  • "Complex Social Systems" Martin Hilbert

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    World-Bank Annenberg Project on Communication and Governance Reform

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Complexity Economics Videos (11)

  • Using Networks to Revolutionise Economic Theory and Policy

    Using Networks to Revolutionise Economic Theory and Policy
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    Using Networks to Revolutionise Economic Theory and Policy

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  • Dirk Helbing: Rethinking Economics Based on Complexity Theory

    Dirk Helbing: Rethinking Economics Based on Complexity Theory
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    Dirk Helbing: Rethinking Economics Based on Complexity Theory Talk given at the Latsis Symposium 2012 "Economics on the Move" in Zurich, see

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  • Stephen Marglin Heterodox Economics

    Stephen Marglin Heterodox Economics
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    "Heterodox Economics: Alternatives to Mankiw's Ideology" Stephen Marglin, Walter Barker Professor of Economics, Faculty of Arts and Sciences, Harvard University

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  • What is Heterodox Economics

    What is Heterodox Economics
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    Excerpts from the Faculty Panel Discussion: "Vision in Heterodox Economics", Economics Department, Graduate Faculty, New School for Social Research

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  • Secrets of Economic Growth | Ricardo Hausmann

    Secrets of Economic Growth | Ricardo Hausmann
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    Economic Complexity is like a game of Scrabble, says Ricardo Hausmann. The more letters you have, the more words you can make; the more capabilities a country has, the more diverse products it can generate. In this video for the World Economic Forum Hausmann, from the Harvard Kennedy School of Government, uses metaphors and metrics to explain the gap between rich and poor countries.

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  • Herbert Simon Talks on Bounded Tationality

    Herbert Simon Talks on Bounded Tationality
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    One of the most important social scientist of the second half of the twentieth century. He is known mainly as the creator of the concept of bounded rationality.

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  • "CRASH COURSE" in Ecological Economics

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    What exactly is Ecological Economics? How does it differ from mainstream economics, and what does it aim to accomplish in today's world? Similar to a "crash course", this video was created for the purpose of addressing these questions in a direct and comprehensive manner, as well as to highlight the principles that lie at the root of Jon Erickson's research, teaching, and outreach activities.

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  • Gerd Gigerenzer - Bounded Rationality

    Gerd Gigerenzer - Bounded Rationality
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    Gerd Gigerenzer talks about bounded rationality

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  • Doyne Farmer: Taking Stock of Complexity Economics

    Doyne Farmer: Taking Stock of Complexity Economics
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    Doyne Farmer, Professor at Santa Fe Institute speaking at the breakout panel entitled "Taking Stock of Complexity Economics: Which Problems Does It Illuminate?" at the Institute for New Economic Thinking's

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  • Brian Arthur: Complexity in Economic Theory

    Brian Arthur: Complexity in Economic Theory
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    Brian Arthur, External Professor at the Santa Fe Institute, speaking as part of the panel Exploring Complexity in Economic Theory at INET's Bretton Woods Conference on April 10, 2011.

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  • Eric Beinhocker: Complexity in Economic Theory

    Eric Beinhocker: Complexity in Economic Theory
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    ric Beinhocker, Senior Fellow at McKinsey and Company, is the moderator to this session on complexity in economic theory at INET's Bretton Woods Conference on April 10, 2011. Brian Arthur, Ian Goldin, and Thomas Homer Dixon speak after him.

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Systems Ecology Videos (9)

  • Eugene Odum explains the key concepts of "ecosystem ecology"

    Eugene Odum explains the key concepts of
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    The late Eugene Odum gives an accessible introduction to systems ecology. Recorded in 2000 at the Institute of Ecology, Georgia University. Eugene Odum pioneered the "new ecology" from a systems perspective, and wrote the world's first text book on ecology in 1953 (Fundamentals of Ecology) currently in its 5th edition (2004).

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  • Feedbacks in social-ecological systems

    Feedbacks in social-ecological systems
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    Whiteboard seminar with Brian Walker on feedbacks in ecosystems

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  • How do social, cultural, economic, and other human systems interact with ecosystems?

    How do social, cultural, economic, and other human systems interact with ecosystems?
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    Jennifer Dunne, Professor, Santa Fe Institute explains her research on ecosystems networks

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  • The Hidden Order of Complex Ecosystems

    The Hidden Order of Complex Ecosystems
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    Stanislaw Ulam Memorial Lecture Series about Complex Ecosystems

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  • Modelling the Whole Earth System: A Challenge Whose Time Has Come

    Modelling the Whole Earth System: A Challenge Whose Time Has Come
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    Bob Bishop is the founder and president of the ICES Foundation (International Centre for Earth Simulation), bringing together science, sociology and economics to develop next generation 'holistic' visualizations depicting the future of our planet. The aim of the project is to enhance detection technology, decision support and scientific underpinnings to current and future policymakers, aiming to tackle climate change, extreme weather, geo-engineering, resource depletion, hazard reduction and mitigation

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  • Emergent Issues in Ecology

    Emergent Issues in Ecology
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    Theoretical ecologist Simon Levin addresses the the issue of sustainability.

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  • Critical transitions in nature and society

    Critical transitions in nature and society
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    A Grantham Special Lecture by Professor Marten Scheffer, Center for Water and Climate Wageningen University, the Netherlands.

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  • Constructal Law Explained

    Constructal Law Explained
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    Adrian Bejan, professor of materials science and mechanical engineering at Duke University, explains how constructal law underpins the natural organization and flow of everything in nature from rivers to evolution, providing a single unifying law that can describe many processes and systems.

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  • A social-ecological system in crisis: Power, politics and marginalization in Chilika Lagoon

    A social-ecological system in crisis: Power, politics and marginalization in Chilika Lagoon
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    Prateep Nayak from the University of Waterloo, School of Environment, Enterprise and Development, speaking at the UW 2014 World Wetlands Day Symposium.

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