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15/01/2025

COMPLEX-IT for health policy. The Future of Evaluation in Health and Social Care, January 2025 Northumbria University, Newcastle.

 

Thanks to Sonia Dalkin, Professor in Applied Health and Social Care Research, and her team for the chat to present at The Future of Evaluation in Health and Social Care 14th – 16th January 2025 Northumbria University, Newcastle.

For my chat, I presented on the value of COMPLEX-IT for policy evaluation in healthcare.

 

A QUICK OVERVIEW OF THE COMPLEX-IT WORKSHOP

COMPLEX-IT: Enabling Non-Experts to Leverage Advanced Computational Modelling for Policy Evaluation and Decision Making

 

ABSTRACT

While the complexity sciences offer a new approach to thinking about social and health data, making use of their computational methods can be considerably challenging for non-experts – particularly postgraduate students, applied researchers, policy evaluators and civil servants. There is a solution! This workshop will introduce COMPLEX-IT, a free online R-platform designed for non-experts to employ the latest developments in machine learning, data visualisation, participatory systems mapping, network analysis, simulation, data forecasting, and cluster analysis. For our workshop, we will explore a real-world data set to walk through the steps of using COMPLEX-IT and the concepts of complexity science to show how these tools can help attendees gain new insights into social and health data. The goal is for participants to leave with a new methods platform they can use in their own work.


-------------

For those who attended or simply might be interested, here are some links to the material from the day.

CLICK HERE for a link to the PowerPoint from the Workshop.

CLICK HERE for a link to COMPLEX-IT.

CLICK HERE for a link to the dataset we explored. NOTE: The dataset is a CSV (comma separated) file, created in EXCEL. It is just a sample to function as an example. It contains several public health indicators (e.g., access to health services, fuel poverty, crime, teen pregnancies, etc) for 100 authority districts in England, UK. 

CLICK HERE for a link to PRSM, the participatory systems mapping tool.

 

The Atlas of Social Complexity. Chapter 20: Configurational social science

As I stated in my previous posts, The Atlas of Social Complexity is comprised of several content themes.

 

The first major content theme in The Atlas of Social Complexity is Cognition, Emotion and Consciousness. This first theme includes six chapters, which I have so far blogged on. Chapter 6 addresses autopoiesis. Chapter 7 turns to the role of bacteria in human consciousness. Chapter 8 explores how the immune system, just like bacteria and cells, is cognitive – and the implications this has for our wider brain-based consciousness. Chapter 9 explores a complexity framing of brain-based cognition, emotion and consciousness. Chapter 10 explores the complex multilevel dynamics of the Self. Chapter 11 is about human-machine intelligence.

 

The second major content theme in The Atlas of Social Complexity is The Dynamics of Human Psychology. So far for this theme, I’ve given a basic overview, found here. I then moved on to the first theme, Human psychology as dynamical system (Chapter 13). From there I reviewed Chapter 14: Psychopathology of mental disorders ; Chapter 15: Healing and the therapeutic process; and Chapter 16: Mindfulness, imagination, and creativity.

The third major theme is living in social systems (Chapter 17). The first chapter in this section it Complex social psychology (Chapter 18). From there we move on to Collective behaviour, social movements and mass psychology (Chapter 19).

 

The focus of the current post is CHAPTER 20: CONFIGURATIONAL SOCIAL SCIENCE

 

 

OVERVIEW OF CHAPTER

Although the Atlas is radically democratic in its survey of the current literature, there is nonetheless some key areas that form the foundation for a disruptive social complexity, and Chapter 20 is one of them.


Chapter 20 introduces us to configurational social science, an innovative framework that tackles the complexities of social systems through advancing two interconnected approaches: intersectionality and case-based configurational methods. Together, these approaches provide a robust lens for understanding causal complexity, social structures, and agency in ways that traditional models often overlook.

 

Configurational social science centres on cases and configurations. A “case” represents any entity, from individuals to organizations or communities, situated within a specific social system. A “configuration” is the set of social factors or conditions that define the case. Unlike traditional complexity sciences, which often focus on systems or datasets as abstract entities, configurational social science keeps the focus firmly on the lived realities of cases. These cases are not merely data points but are deeply embedded within intersecting systems of power, identity, and agency.

 

Intersectionality contributes by foregrounding the interconnectedness of social categories such as race, class, gender, and ability. It compels us to examine how these categories construct and perpetuate power dynamics, discrimination, and inequality. It addresses structural oppression while fostering complexity and resisting simplistic categorizations. Case-based configurational methods, meanwhile, emphasize studying configurations to understand causal complexity. They reveal how different combinations of conditions can produce varied outcomes (multifinality) or similar results through diverse pathways (equifinality), encouraging us to explore not only why certain outcomes occur but also how comparable systems achieve differing results.

 

Configurational social science advances the limitations of these methods by synthesizing their strengths. It incorporates intersectionality’s focus on power and oppression while extending case-based methods with insights from complexity science, such as emergence, feedback loops, and system dynamics. This integration enables researchers to capture the fluidity of social structures and to address broader systemic patterns.

 

Configurational social science also prioritizes a critical lens, addressing issues of power, conflict, and inequality. It examines how systems of power shape the experiences and agency of cases, making the study of oppression and resistance a central concern. This critical orientation challenges the neutrality often assumed in traditional models, insisting on the importance of context and social justice in research.

 

We explore these ideas through the work of Sylvia Walby and David Byrne. Walby integrates intersectionality and complexity science to analyse interconnected systems of power and inequality, advancing a nuanced theoretical framework. Byrne pioneers case-based configurational methods, demonstrating how configurations reveal causal complexity and advocating for policy-driven solutions to real-world problems. Together, their work exemplifies how configurational social science bridges critical theory and empirical research.

 

By synthesizing these perspectives, configurational social science equips us to address pressing social issues with rigor, equity, and inclusivity, challenging dominant paradigms and fostering a deeper understanding of life within complex social systems. It pushes beyond the constraints of existing methods, offering a more dynamic and comprehensive approach to studying the interplay of power, identity, and causality.

 

With this framing in mind, the chapter come to a finish, setting up the framework used by the remaining chapters in this theme.

06/01/2025

The Atlas of Social Complexity. Chapter 19: Collective behaviour, social movements and mass psychology

As I stated in my previous posts, The Atlas of Social Complexity is comprised of several content themes.


 

The first major content theme in The Atlas of Social Complexity is Cognition, Emotion and Consciousness. This first theme includes six chapters, which I have so far blogged on. Chapter 6 addresses autopoiesis. Chapter 7 turns to the role of bacteria in human consciousness. Chapter 8 explores how the immune system, just like bacteria and cells, is cognitive – and the implications this has for our wider brain-based consciousness. Chapter 9 explores a complexity framing of brain-based cognition, emotion and consciousness. Chapter 10 explores the complex multilevel dynamics of the Self. Chapter 11 is about human-machine intelligence.

 

The second major content theme in The Atlas of Social Complexity is The Dynamics of Human Psychology. So far for this theme, I’ve given a basic overview, found here. I then moved on to the first theme, Human psychology as dynamical system (Chapter 13). From there I reviewed Chapter 14: Psychopathology of mental disorders ; Chapter 15: Healing and the therapeutic process; and Chapter 16: Mindfulness, imagination, and creativity.

 

The third major theme is living in social systems (Chapter 17). The first chapter in this section it Complex social psychology (Chapter 18) The focus of this post is the first chapter in this theme, Chapter 19: Collective behaviour, social movements and mass psychology.

 

OVERVIEW OF CHAPTER 19:

 

HAVE WE GONE MAD?

Our Globalised World. 2025 C.E.  We are presently living in troubled times, where the collective psychologies of cultural groups and social movements are up against the stone-cold truths of the global social problems we presently face, and with the economic and public health consequences of globalization, the COVID pandemic, and global warming and the environment being the biggest threats, along with what appears to be a self-defeating inability to work together to solve our common problems. It is as if the world is at each other’s throats.[1]

 

Post-truth society, climate denial, the alt-right, neoliberalism, anti-elitism, political correctness, the particularism of liberal identity politics – the social psychology of our troubled times has led to a resurgence of interest in fields of social inquiry that focus on the dynamic between the human psyche and collective behaviour. These are usually grouped under the header of collective behaviour, mass or collective psychology, and the study of social or political movements.

 

A QUICK SURVEY OF THE LITERATURE

Despite recent renewed interest in these topics, they have a longstanding history within political science and, more specifically, political psychology,[2] as well as social psychology,[3] organisational studies[4] and social movement theory.[5]  The study of collective behavior has a rich intellectual lineage, tracing back to foundational works like Machiavelli’s The Prince and Hobbes’s Leviathan, which linked the human psyche to societal dynamics. Hobbes famously described the human condition as one of war, while later thinkers such as Marx explored ideology and class consciousness. Pareto’s Mind and Society and early political behavioralists like Merriam and Lasswell added depth to this field, particularly in the study of politics and psychopathology.

 

Gustave Le Bon’s The Crowd (1895) remains a seminal text, introducing contagion theory and the idea of crowd-driven “hive minds” that are emotionally charged but intellectually weak. Freud, influenced by Le Bon, offered a more nuanced view in Civilization and Its Discontents, arguing that individuals resist social obligations despite their potential to secure happiness. Freud’s psychoanalytic insights significantly shaped early 20th-century social theorists like Adorno, Fromm, and Arendt, as well as political psychology pioneers such as Reich.

 

Post-World War II, social movement theory evolved, with scholars like Habermas, Smelser, and Touraine examining global protests and worker movements. Complexity science also engaged with these topics, blending cybernetics, systems theory, and second-order cybernetics. Key contributors included Bateson, Wiener, and later Castells, whose Networks of Outrage and Hope exemplifies modern approaches to understanding collective behavior in complex, interconnected societies.

 

Where are we now?

While systems theory has influenced the study of collective behavior and social movements, its impact remains limited, particularly in English-speaking contexts. Over the past two decades, psychology and collective behavior have expanded into areas like public policy (e.g., nudge theory), evolutionary psychology (kin selection, cultural evolution), behavioral economics (bounded rationality, prospect theory), cognitive science (group think, belief bias), and public health (theory of planned behavior). Yet, these fields lack engagement with the complexity sciences, leading to a diminished “social complexity imagination” and insufficient integration with sociological social psychology.

 

Ironically, systems theory’s insights into collective behavior are also marginalized within the complexity sciences, which often prioritize computational modeling and psychological reductionism. This reductive focus overlooks critical lessons from political psychology, organizational studies, and social movement theory. When these fields are engaged, their approaches are often simplified into quantifiable models, as seen in the field of opinion dynamics, further diluting their sociological depth.

 

THE DEFIANCE OF GLOBAL COMMITMENT: A COMPLEX SOCIAL PSYCHOLOGY

In The Defiance of Global Commitment, I explore a social complexity theory of collective psychology and social movements, drawing from Freud’s Civilization and Its Discontents while integrating insights from complexity sciences. Revisiting Freud’s work critically and figuratively, I focus on the dynamic unconscious—concepts like the id, ego, and superego—to delve into how human behavior is shaped by the tension between individual desires and societal expectations. For me, Freud’s superego offers a relatable metaphor for understanding moral development, grounded in emotions like guilt, shame, and love, which are essential to civil society.


 

I move beyond traditional functionalist models, adopting Sylvia Walby’s concept of domains as self-organizing patterns of behavior. Unlike rigid subsystems, domains reflect the flexible and emergent nature of social institutions. My analysis of social movements, from the Arab Spring to #MeToo, underscores their dynamic, multi-level, and self-organizing character, driven by the interplay of in-group/out-group dynamics and identity formation. These movements exemplify the emotional and cognitive biases that influence collective behavior, as well as the power dynamics that shape their trajectory.

 

Through this lens, I explore “negative collective psychologies,” such as revolting elitism, which undermines civil society, and contrast them with “collective adjacent possibles,” like ecofeminism, which promote global commitments. Using a configurational approach, I examine how these psychologies coexist and compete within the broader social landscape.

 

My work situates collective behavior within social practice theory, emphasizing the relational interplay of structure, pattern, and process. I highlight how power, conflict, and emotional biases impact social movements and collective psychologies. By framing these dynamics as feedback loops between individuals and larger social systems, I aim to offer a nuanced understanding of how we navigate the tensions between resistance, cooperation, and social change in an increasingly complex world.



[1] If this book is fortunate enough to be around 100 years from now, we hope the world is in a better place.

[2] Cottam, Martha L et al. Introduction to political psychology. Routledge, 2022.

[3] Gamson, William A. "The social psychology of collective action." Frontiers in social movement theory 1 (1992): 53-76. Klandermans, B. The Social Psychology of Protest (Blackwell Publishers, Oxford 1997).

[4] McAdam, Doug, and W. Richard Scott. "Organizations and movements." Social movements and organization theory 4 (2005).

[5] Buechler, Steven M. "New social movement theories." Sociological Quarterly 36, no. 3 (1995): 441-464.

13/12/2024

The Atlas of Social Complexity. Chapter 18: Complex Social Psychology

As I stated in my previous posts, The Atlas of Social Complexity is comprised of several content themes.

 

The first major content theme in The Atlas of Social Complexity is Cognition, Emotion and Consciousness. This first theme includes six chapters, which I have so far blogged on. Chapter 6 addresses autopoiesis. Chapter 7 turns to the role of bacteria in human consciousness. Chapter 8 explores how the immune system, just like bacteria and cells, is cognitive – and the implications this has for our wider brain-based consciousness. Chapter 9 explores a complexity framing of brain-based cognition, emotion and consciousness. Chapter 10 explores the complex multilevel dynamics of the Self. Chapter 11 is about human-machine intelligence.

 

The second major content theme in The Atlas of Social Complexity is The Dynamics of Human Psychology. So far for this theme, I’ve given a basic overview, found here. I then moved on to the first theme, Human psychology as dynamical system (Chapter 13). From there I reviewed Chapter 14: Psychopathology of mental disorders ; Chapter 15: Healing and the therapeutic process; and Chapter 16: Mindfulness, imagination, and creativity.

 

The third major theme is living in social systems (Chapter 17), which was the focus of my previous post. The focus of this post is the first chapter in this theme, Chapter 18:

 

 

OVERVIEW OF COMPLEX SOCIAL PSYCHOLOGY

Symbolic Interactionism. Herbert Blumer 1969. C.E.[1] Of the various fields of study we will tour for Theme 4, social psychology plays a crucial role as the theoretical and empirical link between the dynamics of human psychology and the macroscopic patterns of social systems. It is all about social interaction, socialisation, families, small groups, social networks, organisations, values and beliefs, deviance and stigma, the presentation of self and identity, social media – what is generally referred to as the microscopic and mesoscopic levels of daily social life and living in social systems. One can also think of these topics as the nuts and bolts of social systems.

The challenge, however, is that many of the topics in social psychology, particularly from a sociological perspective, are not central to the complexity sciences or the study of social complexity. This absence is beyond odd given that the entire project of generative social science[2] and the core concepts of self-organisation and emergence are grounded in the idea of interacting agents engaging one another at the microscopic level, giving rise to the macroscopic social systems in which the live.

 

Sometimes the obvious is staring us right in the face.  

 

Fortunately, there are two fields of study addressing this absence.  

 

But first an important point about how we approach social psychology.

 

Social psychology can be approached in two distinct ways:  

Sociological social psychology (Soc-SP) and psychological social psychology (Psych-SP). While both examine the relationship between individuals and their social worlds, their focus differs significantly. Psych-SP emphasizes how social systems influence individual psychology, such as personality, identity, and beliefs, often adopting a person-centred and individualistic perspective. In contrast, Soc-SP centres on social interactions and systems, exploring how complex, symbolic interactions create social reality.

 

We advocate for the sociological approach, as it aligns with our commitment to understanding social complexity. Soc-SP highlights how personal struggles are often shared functions of broader systemic patterns, providing a foundation for studying collective behaviour, intersectionality, and resilience in socio-ecological systems. This interaction-centred perspective, rooted in traditions like symbolic interactionism and social constructionism, is vital for advancing computational social science and modelling methodologies, even as it remains underrepresented in the broader social and computational sciences.

 

With that clarification in order, the two fields we explore are:

 

Dynamical social psychology:

This field is an extension of the dynamical systems theory approach to human psychology outlined in Theme 2. The two most prominent figures in dynamical social psychology are Andrzej Nowak and Robin Vallacher.

 

Computational social science (i.e., social simulation):

While dynamical social psychology is mostly about applying complexity science to its topics of interest, which gives the field its narrowness in interest; computational social science, at least in its current form, is very much grounded in the social science turn, and is really about using computational tools to assist the study of various social science topics. Also, given the nature of many of the techniques in the field, there is a tendency toward the microscopic and mesoscopic; that is, the social psychological. For those new to the field, suggest spending time exploring the Journal of Artificial Societies and SocialSimulation, founded by Nigel Gilbert, the British sociologist, complexity scientist and leading figure in complex policy evaluation, agent-based modelling and social simulation.

 

 

KEY WORDS: Complex social psychology, computational social science, social simulation, dynamical systems theory, sociological social psychology, agency and structure.

 



[1] Blumer, Herbert. Symbolic interactionism: Perspective and method. Univ of California Press, 1969/1986.

[2] Joshua M. Epstein, Agent-Based Computational Models and Generative Social Science, Complexity 4, no. 5 (1999): 4160.

12/12/2024

COMPLEX-IT: Enabling Non-Experts to Leverage Advanced Computational Modelling for Policy Evaluation and Decision Making

Much thanks to Rachel Caswell, Mohammed Amin Mohammed and Jennifer Wood for the chance to present on COMPLEX-IT at the Midlands Analyst Network Huddle as part of the NHS Strategy Unit.

A QUICK OVERVIEW OF THE COMPLEX-IT WORKSHOP

COMPLEX-IT: Enabling Non-Experts to Leverage Advanced Computational Modelling for Policy Evaluation and Decision Making

 

ABSTRACT

While the complexity sciences offer a new approach to thinking about social and health data, making use of their computational methods can be considerably challenging for non-experts – particularly postgraduate students, applied researchers, policy evaluators and civil servants. There is a solution! This workshop will introduce COMPLEX-IT, a free online R-platform designed for non-experts to employ the latest developments in machine learning, data visualisation, participatory systems mapping, network analysis, simulation, data forecasting, and cluster analysis. For our workshop, we will explore a real-world data set to walk through the steps of using COMPLEX-IT and the concepts of complexity science to show how these tools can help attendees gain new insights into social and health data. The goal is for participants to leave with a new methods platform they can use in their own work.


-------------

For those who attended or simply might be interested, here are some links to the material from the day.

CLICK HERE for a link to the PowerPoint from the Workshop.

CLICK HERE for a link to COMPLEX-IT.

CLICK HERE for a link to the dataset we explored. NOTE: The dataset is a CSV (comma separated) file, created in EXCEL. It is just a sample to function as an example. It contains several public health indicators (e.g., access to health services, fuel poverty, crime, teen pregnancies, etc) for 100 authority districts in England, UK. 

CLICK HERE for a link to PRSM, the participatory systems mapping tool.

 

 

05/12/2024

The Atlas of Social Complexity. THEME 3: LIVING IN SOCIAL SYSTEMS (Chapter 17)

As I stated in my previous posts, the Atlas of Social Complexity is comprised of several content themes.

 

The first major content theme in The Atlas of Social Complexity is Cognition, Emotion and Consciousness. This first theme includes six chapters, which I have so far blogged on. Chapter 6 addresses autopoiesis. Chapter 7 turns to the role of bacteria in human consciousness. Chapter 8 explores how the immune system, just like bacteria and cells, is cognitive – and the implications this has for our wider brain-based consciousness. Chapter 9 explores a complexity framing of brain-based cognition, emotion and consciousness. Chapter 10 explores the complex multilevel dynamics of the Self. Chapter 11 is about human-machine intelligence.

 

The second major content theme in The Atlas of Social Complexity is The Dynamics of Human Psychology. So far for this theme, I’ve given a basic overview, found here. I then moved on to the first theme, Human psychology as dynamical system (Chapter 13). From there I reviewed Chapter 14: Psychopathology of mental disorders ; Chapter 15: Healing and the therapeutic process; and Chapter 16: Mindfulness, imagination, and creativity.

 

The focus of this post is THEME 3: LIVING IN SOCIAL SYSTEMS

Chapter 17 introduces this theme


2020 C.E. The Social Science Turn. The complexity turn in social science has come to an end. It is being replaced by a new movement, the social science turn in complexity. This new turn is an advance insomuch as it provides a way out of the thirteen challenges, in particular.

 

So, what happened to the complexity turn?

 

If one goes back to the 2005 special issue of Theory, Culture and Society,[1] which John Urry guest edited, one it taken by several things. The first is how theoretically flowing and philosophically oriented the issue is, including Urry’s opening article. Still grounded in the 1990s criticisms and concerns of postmodernism, poststructuralism, and the sociology of science, the special issue looks to complexity science not only as a way forward but also as a deconstruction of current scientific practice. Second, the promise of not only applying the complexity sciences to social inquiry, but also the potential to make the boundaries of disciplines and sciences more fluid and permeable infuses the spirit of the entire issue. Third, is the list of highly acclaimed authors,[2] which included (in order) Helga Nowotny (social studies of science), Fritjof Capra (physicist and author of The Web of Life), Adrian Mackenzie (sociology and social studies of Science and technology), Brian Wynne (science studies), David Byrne (case-based complexity, sociology), Cristian Suteanu (environmental science and complexity), John Smith and Chris Jenks (socio-ecology of complexity), Nigel Clark (geography), Graeme Chesters and Ian Welsh (social movements, qualitative methods), Karin Knorr Cetina (globalisation, markets, science studies, post-social theory), and Paul Cilliers (philosopher, complexity scholar). It is a veritable list of who’s-who for social complexity studies over the last thirty years. Finally, is the definition used to articulate the complexity turn. Urry states,

 

This new Special Issue seeks to reflect upon, to develop and in part to evaluate yet another turn, the complexity turn. This turn derives from developments over the past two decades or so within physics, biology, mathematics, ecology, chemistry and economics, from the revival of neo-vitalism in social thought, and from the emergence of a more general ‘complex structure of feeling’ that challenges some everyday notions of social order.[3]

 

For Urry, the complexity turn of the 1990s not only draws on the complexity sciences writ large, but also the neo-vitalist concerns in social inquiry at the time,[4] which had to do with getting back to processes, dynamics and the animated, living and aspects of social life and social systems. The complexity turn is also about the increasing complexities of globalised life at the end of the 20th century – all of which would become part of the sales pitch for the value of complexity and complex systems thinking as a post-postmodern approach to social inquiry. Despite this trifecta of concerns, for Urry the complexity turn is still ultimately about transporting the theories, concepts, mathematics, and methods of complexity science, as developed by physics and the natural and computational sciences, into social inquiry – even if only on a metaphorical level, as Urry did his book, The complexities of the global.[5]

 

Or at least that is what the complexity turn constitutes for most scholars. There is always the adjacent possible, or in this case what one might call the social science turn within the complexity turn. In Urry’s special issue, the adjacent possible is David Byrne. Urry states:

 

In his article here, [Byrne] argues that the way to make complexity work as part of critical realist social science is through the comparative method and especially through its shaping of the tools of social science. This project he examines through a distinction between ‘simplistic complexity’ (rather like the reductionism Wynne argues against) and ‘complex complexity’. The latter involves a dialogical engagement with involved social actors seeking to transform social systems. He is less concerned with importing ideas from the sciences but rather with developing ways of thinking and challenging the social world through complexity understood as a more general epistème.[6]

 

As this quote demonstrates, the social science turn has always been a possibility for the study of social complexity. It was right there from the start. Byrne was visionary insomuch as he engaged the complexity sciences, while simultaneously recognising (as with the French philosopher and sociologist, Edgar Morin[7]) that certain ways of practicing it are problematic for social inquiry and therefore to be avoided. For Byrne, such a restrictive approach is entirely avoidable.

 

The complexity turn in social science happened over thirty years ago. During this time a tremendous amount of innovative and creative work took place applying the tools of complexity science to social inquiry.[8]  Of late, this innovation and creativity seems to be one of diminishing returns. The complexity turn, as a form of disruptive science, appears to be over.

 

FORTUNATELY, THAT IS NOT WHERE THE STORY ENDS!!!!

 

 

The social science turn in complexity is not a promise. It is not a panacea. It is more an advance by those who see themselves largely outside the complexity sciences. They see value in the tools of complexity and also social science and the humanities, and are simply trying to find ways to keep social inquiry disruptive by getting past one or more of the thirteen conditions. As with the other two themes, not all of the work in this area is equal in its innovation. There is still a lot to do. Hence the purpose of this part of our tour. We seek to identify key topics, with an eye to work waiting to be done by those reading the book.

 

Here are the lines of research for this theme:

 

  • Complex social psychology (Ch 18)
  • Collective behaviour, mass psychology and social movements (Ch 19)
  • Configurational social science (Ch 20)
  • The complexities of place at the local and global level (Ch 21)
  • Socio-technological life (Ch 22)
  • Governance, politics and technocracy (Ch 23)
  • The challenges of applying complexity (Ch 24)
  • Economics in an unstable world (Ch 25)
  • Resilience (Ch 26)

 

 

KEY WORDS: configurational social science, sociology of collective behaviour, complex social psychology, complexity in policy and practice, resilience, governance, politics and technocracy.



[1] See, Volume 22 Issue 5, October 2005, Theory, Culture and Society. Special Issue on Complexity. Editor: John Urry. https://journals.sagepub.com/toc/tcsa/22/5

[2] For more on these authors, visit the website or paper version of the special edition, listed in Footnote 1.

[3] John Urry, The Complexity Turn, Theory, Culture & Society 22, no. 5 (October 2005): 114. p. 1. References were removed from the quoted text to improve readability.

[4] See, for example, Fraser, M., Kember, S., & Lury, C. Inventive life: Approaches to the new vitalism. Theory, Culture & Society. 2005: 22(1), 1-14.

[5] Urry, J. The complexities of the global. Theory, culture & society, 22(5). 2005: 235-254.

[6] Ibid, pp. 9-10.

[7] See Morin, E. Restricted complexity, general complexity. Science and us: Philosophy and Complexity. Singapore: World Scientific, 2007, pp. 1-25.

[8] See D. S. Byrne, Complexity Theory and the Social Sciences: An Introduction (London: Routledge, 1998); Byrne and Callaghan, Complexity Theory and the Social Sciences; Brian Castellani and Frederic William Hafferty, Sociology and Complexity Science, Understanding Complex Systems (Berlin, Heidelberg: Springer Berlin Heidelberg, 2009).