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Human–machine teaming (HMT) represents a critical frontier in Behavioural Data Science, where cognitive, social, cultural and algorithmic factors converge within complex systems. While traditional human–computer interaction (HCI) research has explored usability and task efficiency, human–machine teaming introduces new imperatives: mutual predictability, adaptive trust calibration, shared mental models and contextually sensitive collaboration. These imperatives are increasingly important in sectors such as defence, healthcare, manufacturing and disaster response, where human and machine agents co-perform roles that require high-stakes coordination. This chapter integrates systems thinking and cross-cultural theory to provide a framework for understanding HMT through the lens of Behavioural Data Science. It examines how systemic factors – ranging from team topology to environmental volatility – influence teaming outcomes, and how cultural variation impacts expectations, acceptance and performance of AI teammates. Drawing on empirical case studies and simulation-based experiments, we identify design principles for effective teaming and highlight methodological challenges in measuring team efficacy and behavioural alignment. We also interrogate ethical and philosophical issues in the automation of team roles and decision-making authority. Ultimately, we argue that human–machine teaming is not merely a technological phenomenon, but a socio-technical system embedded within organisational, institutional and cultural structures. Behavioural Data Science is uniquely positioned to illuminate these interdependencies and guide the development of trustworthy, transparent and inclusive teaming frameworks.
Human Factors and Ergonomics (HFE) is a discipline concerned with designing interactions in sociotechnical systems to improve both system performance and human well-being. This Element introduces the core principles of HFE, tracing its development from multidisciplinary efforts to solve practical problems in military operations during the Second World War to its current application in healthcare improvement. The Element acknowledges the growing role of HFE in areas such as the design of the physical environment, medical device design, learning from patient safety incidents, and safety investigations. A critical reflection highlights persistent challenges, including conceptual ambiguity, structural and practical barriers to HFE integration, and the need both for a stronger evidence base and a compelling business case. The Element concludes by identifying future priorities for advancing HFE in healthcare, including continuing professional development and career pathways, embedding HFE in regulation and policy, and adopting evaluation approaches suited to complex systems. This title is also available as open access on Cambridge Core.
Archaeology is not a solitary discipline concerned only with digging up the past; rather, its wide potential for transdisciplinary collaboration and unique deep-time perspective provide traction for real-world current and future impact. Here, the author proposes integration of systems thinking, small-wins psychology and a more creative interdisciplinary approach as ways for archaeologists to address the existential ‘polycrisis’. Using food security as an example, this article argues that, as archaeologists, we should focus far more attention on the polycrisis than we do at present, that we can make a difference in addressing it and that we have a responsibility to try.
The rise of Generative AI has accelerated the shift toward Industry 5.0, marking a critical transition from the technology-centric focus of Industry 4.0 to a human-centric, value-driven paradigm. While its predecessor prioritized automation and technology, Industry 5.0 integrates advanced human–machine collaboration with social imperatives to create resilience. This study advances current literature by presenting a novel systems-based framework, grounded in systems theory and legitimacy theory, which conceptualizes Industry 5.0 as an interconnected ecosystem rather than isolated pillars. We identify technological adaptation, specifically AI integration, and human-centricity as critical inputs that drive economic, environmental, and social sustainability as systemic outputs. By mapping these interdependencies, the model demonstrates how cohesive components collectively fuel organizational transformation. These findings offer actionable insights for aligning corporate strategies with Sustainable Development Goals, providing policymakers and practitioners with future-oriented pathways to navigate this complex, emerging industrial environment.
Chapter 2 establishes the fundamentals of sustainability, building from the Brundtland Report’s definition of sustainable development through contemporary frameworks like planetary boundaries and doughnut economics. It introduces the Earth-as-endowment metaphor to illustrate humanity’s relationship with planetary resources and explores the Nordic region’s significant contributions to sustainability thinking and practice. The chapter examines how overconsumption threatens Earth’s regenerative capacity and details Nordic innovations in environmental protection, circular economy, and climate policy. It concludes by addressing the challenge of overcoming sustainability denial, particularly in the United States, while highlighting the Nordic region’s pragmatic approach to environmental challenges. Throughout, the chapter emphasizes systems thinking and the interconnected nature of sustainability challenges, establishing theoretical foundations for examining capitalism’s role in advancing sustainable development.
Sustainability transitions require systemic change, yet socio-technical systems are complex and interdependent, making transitions non-linear and path-dependent. This chapter explores how systems thinking and complexity science enhance our understanding of transition dynamics, particularly feedback loops, emergent behaviour, and lock-in effects. It reviews key frameworks, including the Multi-Level Perspective (MLP) and Technological Innovation Systems (TIS), and discusses how system dynamics modelling and complex systems approaches can identify leverage points for policy interventions. Case studies illustrate how these methods improve transition research and policymaking. The chapter concludes by highlighting methodological challenges and the need for hybrid models to integrate diverse analytical scales and approaches.
The article examines how nonprofit organization staff navigate organizational mission as they encounter complex systems problems outside their area of expertise, focusing on environmental organizations encountering homelessness in river watersheds. Drawing on surveys from seventy-three individuals from forty-three organizations and interviews with seventeen nonprofit staff, I find that staff who demonstrate systems thinking are more likely to describe integrating complex systems problems into their mission and activities in meaningful ways. Not interacting with systems issues due to lack of skill is most often explained with language of mission adherence and avoiding mission drift.
This paper introduces Development Led Inquiry (DLI) as an approach to improve situations incorporating relationships between third sector organisations (TSOs) and agricultural scientists, universities, and the public-sector agricultural establishment. There is limited scholarly work on the role of TSOs in agricultural research. Current approaches appear premised on TSOs being researched upon, and recipients of research outcomes rather than partners in generation and application of new knowledge. DLI expands the boundaries of research systems and roles of TSOs as supporters within them. DLI builds on partnerships between NGOs, farmers’ organisations, and women’s associations; it integrates researchers and research organisations to develop, manage and report knowledge generation and application. DLI is dynamic and developmental with learning for all participants central to the process. DLI unsettles current power structures within research systems and sees research and knowledge generation as a supporter rather than leader of development. DLI is embedded in an inquiring systems approach and applies six interrelated conceptual systems thinking tools. The approach emerged from, and was applied in, a twelve-year agricultural research project in India, and was subsequently introduced to, and further developed in a research project in Pakistan.
The impact factor has become a defining feature of scientific journals. However, such reductionism can be toxic to science. As Cambridge University Press Quantitative Plant Biology celebrates its 5-year anniversary, and its first impact factor, this is an opportunity to set things straight. A call to value what a scientific journal is about: a community of scientists, a guarantee of rigour and quality, an invitation to explore the complexity of our world, a fair and ethical environment and an engaging, diverse and creative arena.
We begin to draw the book to a close here with assembling together our main interests in a sympathetic – systemic, processual and morally imaginative – manner. We consider a pluri-perspectival, technical approach to our context in which the boundaries and the goals are clear. We establish outlines of what we mean by each of these terms in the context of business ethics as a field of interest. By historic reference to the Grameen Bank of Bangladesh as managed by Mohammed Yunus we explore how moral decision making occurs and how it can be shown to work.
Systems are holistic that represent complex structures in which different components interact. Systems thinking plays an important role as a methodology used to solve and analyse these complex problems. This approach emphasises addressing problems holistically rather than simply breaking them down into parts, providing a deeper understanding of identifying and resolving root causes. The article aims to explain the conceptual framework of systems thinking by discussing the basic concepts and principles of systems thinking in detail. In this context, the literature focuses on reaching a common definition of the term ‘systems’ and discusses practical approaches to the use of systems thinking in aircraft design. It also includes analysis of the application of systems thinking through examples of catastrophic accidents resulting from the misunderstanding or mismanagement of complex systems in engineering studies. The change in aircraft design process over the years has been examined, and a new categorisation method is proposed. By integrating systems thinking into the aircraft design process, it examines the advantages it will provide in understanding and optimising the interaction of components, saving time and costs. This study aims to deal with the systems thinking perspective of aircraft design. The importance of the system concept in aviation is emphasised with concrete examples, and its applicability is examined. Thus, a base is formed for its use in aviation.
This article charts the history of how system dynamics modelling (SDM) has evolved in the field of natural resource management from a relatively niche subject to a tool of increasing practical relevance and impact, and encourages practitioners to continue this trend with some suggestions for further promoting SDM for natural resource impact assessment and policy support. It not only traces key developments and thematic shifts but also advocates for SDM as a critical approach for addressing today’s complex and interconnected resource challenges. Starting in the 1970s with the Limits to Growth and a burgeoning environmental movement, the path of SDM applications for natural resource management and assessment is outlined. Models turned in the 1980s to a dominantly ecological focus, considering lake ecosystems and predator–prey dynamics, and tended to be largely single-sector focused, with feedbacks and complexity being used to describe sectoral system dynamics. Since about 2000, SDM has been applied to broader and more integrated natural resource systems and has frequently included stakeholders and participatory methods to co-develop models for increasingly practical applications and support. The emergence of the water–energy–food nexus around 2010 lends itself to SDM studies, including the assessment of climatic and socio-economic futures on resources supply, demand and security, and the impact of policy implementation across whole systems. Stakeholder engagement, participatory modelling, online tools and interfaces, machine learning and targeted, policy-facing studies are opportunities to further promote SDM and systems thinking for natural resource management in an increasingly complex and interconnected world, enhancing its practical impact.
The world is facing multiple interconnected crises, from climate change and economic instability to social inequalities and geopolitical tensions. These crises do not occur in isolation; instead, they interact, reinforce each other, and create unexpected ripple effects – forming what is known as a polycrisis. Traditional ways of analysing problems often fail to grasp these interdependencies, making it difficult to find effective responses. We draw on system archetypes to describe and exemplify three polycrisis patterns. These provide a structured way to analyse how multiple crises unfold and interact, as well as insights into how to navigate such complexity.
Technical summary:
The concept of a polycrisis describes the complex interconnections between global issues, which can lead to unexpected emergent behaviours and the possible convergence of undesirable impacts. Understanding these dynamics is crucial for anticipating compounded effects and for identifying leverage points for effective intervention. We propose that system archetypes – generic structures in system dynamics that capture recurring patterns of behaviour – can serve as a useful analytical tool to study polycrises. Specifically, we reinterpret three key system archetypes in this context: Converging Constraints (based on the Limits to Growth system archetype), Deepening Divides (based on Success to the Successful system archetype), and Crisis Deferral (drawing from the Policy Resistance system archetype). These patterns illustrate how resource limitations, structural inequalities, and short-term solutions can sustain or worsen crisis dynamics. Using real-world examples, we show how polycrisis patterns can be employed to map feedback structures between interacting crises and to guide effective interventions. Our work contributes to a more structured and systemic understanding of polycrises, by providing a tool to help researchers and policymakers better anticipate, navigate, and mitigate their effects.
Social media summary:
‘Polycrisis patterns reveal how crises like climate change, economic instability, and inequality interact, amplifying their impacts’.
Adolescent girls are vulnerable and deserve the utmost attention to complement their nutrition. This scoping review endeavours to identify the determinants of malnutrition among adolescent girls in Pakistan and to comprehend the interventions to improve their health and nutritional status. This review of the literature was conducted using Google Scholar, PubMed/Medline, Scopus and Web of Science for articles published between 2015 and 2024. MeSH terms used for search were as follows: adolescent, youth, health, malnutrition, nutrition interventions, systems approach. In addition, reports from the WHO, the UN, the World Bank, the Government of Pakistan and other organisations were also critically reviewed. Moreover, this paper has used the Pathways framework, which advocates multi-sectoral approaches for poverty reduction. In most developing countries, the compromised nutritional status of adolescent girls, compounded by poverty, has life-long health and economic consequences, as well as their infants having nutritional deficits. They are expected to grow as stunted children. Abundant evidence has shown that nutrition-sensitive and nutrition-specific interventions can improve their nutritional status and that of subsequent generations. There is a dire need to involve key stakeholders from health, education, nutrition, population, women’s development, social welfare and other relevant sectors. It is imperative to design interventions for adolescent girls in each country’s context to break the intergenerational cycle of malnutrition and to improve economic productivity. Political commitment and effective governance along with policy coherence are required for their healthy transitions into adulthood.
Achieving sustainability on the ground poses a challenge in decoding globally defined goals, such as sustainable development goals, and aligning them with local perspectives and realities. This decoding necessitates the understanding of the multifaceted dimensions of the sustainability challenges in a given context, including their underlying causes. In case studies from Brazilian drylands, we illustrate how an enhanced multiscale participatory method, combined with systems thinking tools, can shed light on systemic structures that currently entrench unsustainable development trajectories. This method offers insights into co-designing potential pathways toward sustainable futures and unlocking transformative capacities of the local population.
Technical summary
Translating United Nations global sustainable development goals (SDGs) into actions that address local realities and aspirations is an urgent challenge. It requires new thinking and approaches that foster the discussion about the main challenges to implementing the SDGs at multiple levels. This paper presents a novel multiscale participatory approach that combines the popular Three Horizons diagram with the formalism of causal loop diagrams in systems thinking. We present results from six multi-stakeholder dialogues held across drylands in Brazil with a focus on desired futures aligned with SDGs. Focusing on identifying the root causes and systemic structures of unsustainability, participants identified lock-ins, leverage points, and interventions for how these could be changed. The core lock-ins are the discontinuity of public policies, and the historical land and power concentration reinforced by the current expansion of large-scale agricultural, mining, and energy projects. The proposed interventions are structural and – if implemented – would contribute to achieving SDGs in an integrated manner. The unique approach developed in this study can provide leverage as it bridges the inclusivity of participatory visioning with the change potential of systems thinking tools to tackle root causes and unleash societal transformations.
Social media summary
We are not achieving SDGs. Understanding root causes of unsustainability is critical to move toward sustainable and just futures.
We discuss the emerging technology of digital twins (DTs) and the expected demands as they scale to represent increasingly complex, interconnected systems. Several examples are presented to illustrate core use cases, highlighting a progression to represent both natural and engineered systems. The forthcoming challenges are discussed around a hierarchy of scales, which recognises systems of increasing aggregation. Broad implications are discussed, encompassing sensing, modelling, and deployment, alongside ethical and privacy concerns. Importantly, we endorse a modular and peer-to-peer view for aggregate (interconnected) DTs. This mindset emphasises that DT complexity emerges from the framework of connections (Wagg et al. [2024, The philosophical foundations of digital twinning, Preprint]) as well as the (interpretable) units that constitute the whole.
A 'paradigm shift' is currently taking place in leadership. Despite the considerable and influential body of existing theory, leaders were not prepared for the continuous disruptions of the digital era. What happens and how it happens depends on networks. The newly emerging science of networks opens an entirely new horizon on how to lead people, design organizations, and make sense of complex social environments. To be effective, leadership needs to assimilate and adapt to the dynamics of networks. This implies a focus on the quality of connections, how energy and information flow through these connections, and the development of a heightened awareness for the whole. Based on the undeniable logic of networks, the shift in organizational structures which has already taken place will only accelerate in the years to come. Network leadership invites leaders to leave the VUCA world behind and embrace a new WISE world of stability and emergence.
Viewed from the perspective of public policy, behavioural public policy (BPP) faces challenges in four main areas: Systems, Impatience, Nudging, and Scaling. To address these challenges, several suggestions are proposed. First, understanding how BPP interventions unfold in complex systems requires better diagnostics and the development of predictive and generative models of human behaviour. Second, the rapid pace of policy processes necessitates a shift towards generating timely and fit-for-purpose evidence. Third, maximising the opportunities presented by BPP, beyond merely ‘nudging’, demands the early and proactive application of behavioural science in the policy cycle. Fourth, achieving widespread impact in BPP initiatives means considering scale-up from the start. Lastly, the consistent and comprehensive integration of behavioural science into standard policymaking practices would support sustainable progress in addressing these challenges.
Almost half of the global population lives with inadequate or unsafe water, sanitation or hygiene (WASH) services. The consequences of this situation include negative impacts on individual and public health, the environment and economic production. The WASH sector is linked with other international development sectors and is embedded within complex social, environmental and governance structures. This complexity led us to reflect on how WASH sector practitioners and researchers are applying systems thinking tools and techniques to progress an agenda of sustainable and universal WASH services. From this perspective, we then discuss the near- and long-term future needs of the sector in coming to a comprehensive understanding and application of systems thinking to progress the ultimate aim of universal access to safely managed, accessible and abundant water, sanitation and hygiene services.