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11/02/2025

The Atlas of Social Complexity. Chapter 21: The Local and the Global: The Complexities of Place

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 is Complex social psychology (Chapter 18). From there we move on to Collective behaviour, social movements and mass psychology (Chapter 19). Next is Configurational Social Science (Chapter 20).

The focus of the current post is CHAPTER 21: THE LOCAL AND THE GLOBAL: COMPLEXITIES OF PLACE

 

OVERVIEW OF CHAPTERS 21

The Information Age, Castells 1996. C.E. Up to this point on our tour we have made significant progress in understanding the social psychology and collective behaviour of living in social systems. We have also made substantial progress in positioning people (be they individuals, groups, communities) in terms of the intersecting social structures and the configurations of factors that drive their system-based experiences. As a next step on our tour, we will bring in the socio-geographical to explore people and their social systems in (geographical) time and space, ranging from the local to the global. Our chapter is organised as follows. We begin with a few preliminaries, most of which involve us narrowing in on our primary target: the complexities of cities and the global urban. 

Social complexity takes place in spaces. These can be geographical – think cities – but also abstract and imaginary, such as virtual networks and attractor spaces through which cases move. The spatial dimension of social complexity is extremely important because it shapes said complexity and provides the space where this complexity plays out. As some scholars discussed here stress: there is no pressing reason to separate time, space and geographical location. We follow their recommendation and survey all of this in this chapter. We discuss the many types of spaces that provide the stage for social complexity: cities, networks, time-space continuums, and more. Along the way, we discuss urban complexity and the modelling and simulation of spaces, and – importantly – the planning of spaces.

HERE ARE SOME (BUT CERTAINLY NOT ALL) OF THE HIGHLIGHTS FROM THIS CHAPTER:

  • Social complexity plays out in spaces: in villages and in cities, in buildings and on the road, in hospitals and in schools.
  • The globalizing world has added more dimensions to the role of space in social complexity, as places became entangled in worldwide digital and transportation networks and increasing social mobilities.[1]
  • Globalisation has also brought about a highly mobile world, both physically and digitally.[2]
  • For a short time, some scholars thought that the space of flows and global mobilities would render physical locations less important. The opposite has happened. It reinforced cities and metropolitan areas as central nodes to create clusters and networks of megacities or super-cities[3] and enhanced spatial inequalities.[4]
  • The traditional analytical distinction between city and countryside has become thoroughly obsolete in an age of the sprawling megapolis and megaregions, which have absorbed individual towns and suburbs into one continuous fabric.[5],[6]
  • As our opening argument elucidates, a thorough revision of how we understand the (globalized) urban is needed.[7]
  • Importantly, the notion of ‘space’ is multifaceted. Not only is this about networks and temporal attunement, but it is also about the differences between the physical space, the experienced space at the level of individual urban dwellers, and abstract symbolic spaces.[8]
  • Complex spaces immediately conjure up images of contemporary cities. And yes, cities are important expressions of complex spaces. However, there is another aspect that is equally important: the spatial dimension of complexity sciences itself, such as attractor spaces and fitness landscapes.
  • The surprising thing about time, and its relationship with space, in the complexity sciences is that it plays a key role in understanding complexity; yet it is usually captured in a fashion that prohibits true exploration. Complexity plays out over time. Without the time dimension, we wouldn’t observe emergence, non-linearity, hysteresis and path-dependence, to name a few key notions from the first chapters of this Atlas.
  • The biggest hurdle in unpacking time is not how we understand emergence but rather how it is projected upon time units. Indeed, time in the complexity sciences is usually treated as sui generis and as a uniform measure.[9] Thus, emergence is distributed across uniform units such as ticks in a simulation or clock time (minutes, days, years, etc.).
  • This convention is deeply ingrained in research, not in the least because it is a workable and understandable proxy for social processes. The main problem with all this is that it imposes a regimentation on any observation.[10]
  • Time is a social institution that, by extension, varies from one space to another.[11] Arguably, contemporary time and its regimentation are hallmarks of industrialization and the emergence of the big city[12], creating what Adam[13] calls a ‘time-grid’ that characterizes contemporary society.
  • An important step in understanding how else we could capture time in the study of social complexity, we should also highlight the intricate relationships between time and space. Time-space dualities have been criticized for creating false dichotomies.[14]
  • From a system’s perspective, one might argue that clock time would capture movements more accurately. From the perspective of within-case variation, it is the experience of time that is more important. It points to the importance of pace or velocity.

 Again, lots more on the topic, but you need to read the chapter to find out! :)

 

KEY WORDS: space; urban; cities; time-space; space of flows; local; global; time; planning; time; urban simulation; geospatial modelling



[1] In addition to Castells, see John Urry, The Tourist Gaze (Sage, 2002); John Urry, Sociology beyond Societies: Mobilities for the Twenty-First Century (Routledge, 2012).

[2] Mimi Sheller and John Urry, Mobilizing the New Mobilities Paradigm, Applied Mobilities 1, no. 1 (2016): 1025; Jonas Larsen and John Urry, Mobilities, Networks, Geographies (Routledge, 2016).

[3] Jonathan V. Beaverstock, Richard G. Smith, and Peter J. Taylor, ‘World-City Network: A New Metageography?’, Annals of the Association of American Geographers 90, no. 1 (2000): 123–34.

[4] Ali Madanipour, ‘“Social Exclusion, Space, and Time”’, in The City Reader, 7th ed. (Routledge, 2020).

[5] Jennifer Robinson, Comparative Urbanism (Sussex: John Wiley & Sons Ltd., 2022).

[6] To some, the level of urbanization has become so vast that one should accept that all forms of human settlement are urban, i.e., planetary urbanism, see e.g., Henri Lefebvre, Rhythmanalysis: Space, Time and Everyday Life, trans. Gerald Moore and Stuart Elden (London ; New York: Bloomsbury Academic, 2013). And while the process of urbanization is just as complex as the actual places itself, Robinson rightly points out that this concepts must be treated with some caution. The similarities and dissimilarities of places matter.

[7] Neil Brenner and Roger Keil, ‘From Global Cities to Globalized Urbanization’, Glocalism: Journal of Culture, Politics and Innovation, no. 3 (2014).

[8] David Harvey, ‘Space as a Keyword’, in David Harvey (John Wiley & Sons, Ltd, 2006), 70–93.

[9] Lasse Gerrits, Robin A. Chang, and Sofia Pagliarin, ‘Case-Based Complexity: Within-Case Time Variation and Temporal Casing’, Complexity, Governance & Networks 7, no. 1 (2 May 2022): 29.

[10] Gerrits, Chang, and Pagliarin.

[11] E. Durkheim, The Elementary Forms of Religious Life, trans. J. Swain (London: Allen & Unwin, 1968).

[12] G. Simmel, Le Metropoli e La Vita Dello Spirito (Rome: Armando Editore, 1903).

[13] B. Adam, Timewatch: The Social Analysis of Time (Cambridge: Polity Press, 1995).

[14] N. Thrift, ‘Torsten Hägerstrand and Social Theory’, Progress in Human Geography 29, no. 3 (2005): 337–40; N. Thrift, ‘Space, Place, and Time: Chapter 29’, in The Oxford Handbook of Contextual Political Analysis, ed. Robert E. Goodin and Charles Tilly, Oxford Handbooks of Political Science (Oxford: New York and Oxford University Press, 2006), 547–63.

[15] Gieryn, Thomas F. "A space for place in sociology." Annual review of sociology 26, no. 1 (2000): 463-496. Urry, John. "The sociology of space and place." The Blackwell companion to sociology (2001): 3-15.

[16] Thomas Weber, Jorge Louçã, and Lasse Gerrits, Dissipative Structures and the Relation between Individual and Collective Aspects of Social Behavior, Systems Research and Behavioral Science 39, no. 2 (March 2022): 27486, https://doi.org/10.1002/sres.2777.

[17] See, as a few key examples, P. Allen, ‘Self-Organization and Evolution in Urban Systems’, Cities and Regions as Non-Linear Decision Systems, 1 January 1984, 29–62; Gert de Roo and Ward S. Rauws, ‘Positioning Planning in the World of Order, Chaos and Complexity: On Perspectives, Behaviour and Interventions in a Non-Linear Environment’, in Complexity Theories of Cities Have Come of Age: An Overview with Implications to Urban Planning and Design, ed. Juval Portugali et al. (Berlin, Heidelberg: Springer, 2012), 207–20; Gert de Roo and Elisabete A. Silva, A Planner’s Encounter with Complexity (London: Routledge, 2010); Ward Rauws and Gert De Roo, ‘Adaptive Planning: Generating Conditions for Urban Adaptability. Lessons from Dutch Organic Development Strategies’, Environment and Planning B: Planning and Design 43, no. 6 (1 November 2016): 1052–74; Juval Portugali, ‘Complexity Theory as a Link between Space and Place’, Environment and Planning A: Economy and Space 38, no. 4 (1 April 2006): 647–64.

[18] Beyond the general observation that cities are complicated, that is.

[19] Antonio Isalgue, Helena Coch, and Rafael Serra, ‘Scaling Laws and the Modern City’, Physica A: Statistical Mechanics and Its Applications 382, no. 2 (15 August 2007): 643–49.

[20] Big data analysis about cities runs into the same issues that plague big data analysis everywhere.

[21] Michael Batty, ‘Big Data, Smart Cities and City Planning’, Dialogues in Human Geography 3, no. 3 (November 2013): 274–79.


24/01/2025

The Atlas of Social Complexity. Chapter 22: Socio-technological life

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 is Complex social psychology (Chapter 18). From there we move on to Collective behaviour, social movements and mass psychology (Chapter 19). Next is Configurational Social Science (Chapter 20).

The focus of the current post is CHAPTER 22: SOCIO-TECHNICAL LIFE

 

OVERVIEW OF CHAPTER 

Chapter 22 invites readers on a journey through the intricate web of socio-technological systems that define our world in the Digital Anthropocene. At its heart, it explores the interplay of technology, agency, and social complexity, while grappling with questions about how these elements intertwine to shape human life, knowledge production, and societal transitions.



Technology as Both Sculptor and Subject

The narrative begins by acknowledging the dual role of technology. On the one hand, it is a tool for understanding complexity; on the other, it is a dynamic actor shaping social systems. The chapter highlights how digital technologies, particularly algorithms, weave themselves into the very fabric of human existence—becoming co-creators of social norms, practices, and even behaviours. Through examples ranging from train traffic control to predictive policing, the chapter underscores the distributed nature of agency in socio-technological systems, where humans and algorithms mutually influence and reconfigure one another.

 

Posthuman Perspectives and New Cartographies of Agency

Posthumanism offers a provocative lens through which to view these developments. Rejecting the humanist ideal of rational, hierarchical dominance, this framework asks: What does it mean to be human in a world where digital technologies blur the lines between human and non-human actors? The chapter answers with a call for "complex cartographies" of agency, shifting our focus from individual actors to the networks and assemblages that generate collective outcomes. It encourages readers to look beyond simplistic binaries, understanding agency as the emergent property of these intricate configurations.

 

The Role of Technology in Complexity Sciences

While the complexity sciences have long been tools for deciphering social systems, this chapter critiques their limited engagement with the deeper implications of technological agency. By focusing on algorithms as "performative, contingent, and ontogenetic," the chapter calls for a more nuanced exploration of how technology not only reflects but also reshapes the systems it inhabits. This insight is not just theoretical – it offers a blueprint for developing methods that account for the recursive feedback loops between human actions, algorithmic processes, and social outcomes.

 

Societal Transitions: Navigating the Unknown

Societal transitions, particularly those driven by technological innovation, emerge as a focal point. The chapter captures the complexity of these shifts, using examples like Germany's energy transition to illustrate the non-linear, path-dependent, and context-sensitive nature of change. It critiques overly deterministic views of technology, emphasizing instead the need to study how configurations of social, cultural, and technological factors align -- or fail to align -- to enable transitions.

 

Importantly, the chapter warns against techno-utopianism. The belief that technology alone can resolve societal challenges, from climate change to inequality, is deeply flawed. Instead, it advocates for a critical and reflexive approach that considers the unintended consequences, residual causality, and ethical dimensions of technological transitions.

 

Management and Operations: The Challenge of Complexity

Finally, the chapter examines the management and operation of socio-technological systems. Drawing on principles like Ashby’s Law of Requisite Variety, it highlights the challenges of navigating complexity in real-world contexts. The discussion critiques simplistic applications of complexity science to management, urging instead a deeper integration of insights from sociology, technology studies, and systems thinking.

 

The chapter also underscores the importance of critical reflection in management practices, particularly in resisting the allure of simplistic solutions or the rebranding of old ideas as novel insights. It suggests that the real value of complexity lies not in offering prescriptive frameworks but in fostering a more profound understanding of the dynamic interplay between systems, technologies, and human actors.

 

Conclusion: Towards a Reflexive Complexity

This chapter is not just an academic exploration; it is a call to action. It challenges readers to rethink the boundaries of agency, the role of technology, and the nature of complexity itself. It asks us to approach the Digital Anthropocene with a critical eye and a willingness to embrace uncertainty, complexity, and nuance.

 

In doing so, this chapter reminds us that the study of socio-technological systems is not just about mapping the present but also about imagining and shaping the future. Through its insights, it offers a roadmap for navigating the complexities of our hyperconnected world – one that is as intellectually rigorous as it is profoundly human.

 

 


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.


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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.