Complexity lies at the heart of social work practice and this book is designed to help students and newly-qualified social workers plan for and manage complex cases in an increasingly complex environment. Split into two parts, this book reflects the journey of qualifying social work students from preparation for practice in an educational context to learning ‘on the job’ through working with service users in practice settings, and eventually assuming a more senior role in management, administration and training. Key topics covered in the chapters include managing volatility and uncertainty, making judgements and decisions, building and maintaining relationships, using reflection and supervision, working interprofessionally, managing risk, exploring cause and effect.

This is the first book to explore the application of complexity theory to difficult practice issues in criminal justice and social work and brings together experts in this emerging field to address complexity theory from a range of perspectives, providing a detailed but accessible discussion of the key issues to whole systems approaches.

Chaos and complexity are the new buzz words in both science and contemporary society. The ideas they represent have enormous implications for the way we understand and engage with the world. Complexity Theory and the Social Sciences introduces students to the central ideas which surround the chaos/complexity theories. It discusses key concepts before using them as a way of investigating the nature of social research. By applying them to such familiar topics as urban studies, education and health, David Byrne allows readers new to the subject to appreciate the contribution which complexity theory can make to social research and to illuminating the crucial social issues of our day.

These fifteen cases take place in child welfare, mental health, hospital, hospice, domestic violence, refugee resettlement, veterans' administration, and school settings and reflect individual, family, group, and supervised social work practice. They confront common ethical and treatment issues and raise issues regarding practice interventions, programs, policies, and laws. Cases represent open-ended situations, encouraging students to apply knowledge from across the social work curriculum to develop problem-solving and critical-thinking skills. An instructor's manual with teaching notes is available by emailing: [email protected].

Management and leadership are increasingly important within the organisation and delivery of social care services and now form part of the post qualification framework for social workers. Yet, whilst there is a relatively broad understanding of management concepts and their application in social care, their foundations often go unchallenged both by students and managers. Furthermore, leadership is open to a wide range of interpretations and is often ill-defined with the expectation that we share a common understanding of the term. This text promotes an appreciation of the development of management and leadership thinking and the different themes which inform current ideas. It considers these topics from a range of theoretical standpoints in order to stimulate readers to consider their own experience and expectations of management and leadership. It then demonstrates how these standpoints might promote innovative approaches to management and leadership within social care organisations and ways in which such organisations might then develop. The aim of this challenging text is to encourage critical and informed reflection on current practice. Social Work Management and Leadership is essential reading for students of management and leadership in social care as well as being an invaluable resource for managers who simply wish to consider new approaches to their practice.

Complexity systems are at the heart of behavior

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. However, individual- and agent-based computational approaches hold out the possibility of new and deeper understanding of such systems. Simulating Social Complexity examines all aspects of using agent- or individual-based simulation. This approach represents systems as individual elements having each their own set of differing states and internal processes. The interactions between elements in the simulation represent interactions in the target systems. What makes these elements "social" is that they are usefully interpretable as interacting elements of an observed society. In this, the focus is on human society, but can be extended to include social animals or artificial agents where such work enhances our understanding of human society. The phenomena of interest then result (emerge) from the dynamics of the interaction of social actors in an essential way and are usually not easily simplifiable by, for example, considering only representative actors. The introduction of accessible agent-based modelling allows the representation of social complexity in a more natural and direct manner than previous techniques. In particular, it is no longer necessary to distort a model with the introduction of overly strong assumptions simply in order to obtain analytic tractability. This makes agent-based modelling relatively accessible to a range of scientists. The outcomes of such models can be displayed and animated in ways that also make them more interpretable by experts and stakeholders. This handbook is intended to help in the process of maturation of this new field. It brings together, through the collaborative effort of many leading researchers, summaries of the best thinking and practice in this area and constitutes a reference point for standards against which future methodological advances are judged. This book will help those entering into the field to avoid "reinventing the wheel" each time, but it will also help those already in the field by providing accessible overviews of current thought. The material is divided into four sections: Introductory, Methodology, Mechanisms, and Applications. Each chapter starts with a very brief section called ‘Why read this chapter?’ followed by an abstract, which summarizes the content of the chapter. Each chapter also ends with a section of ‘Further Reading’ briefly describing three to eight items that a newcomer might read next.

Leading futurist Bob Johansen shows how a new way of thinking, enhanced by new technologies, will help leaders break free of limiting labels and see new gradients of possibility in a chaotic world. The future will get even more perplexing over the next decade, and we are not ready. The dilemma is that we're restricted by rigid categorical thinking that freezes people and organizations in neatly defined boxes that often are inaccurate or obsolete. Categories lead us toward certainty but away from clarity, and categorical thinking moves us away from understanding the bigger picture. Sticking with this old way of thinking and seeing isn't just foolish, it's dangerous. Full-spectrum thinking is the ability to seek patterns and clarity outside, across, beyond, or maybe even without any boxes or categories while resisting false certainty and simplistic binary choices. It reveals our commonalities that are hidden in plain view. Bob Johansen lays out the core concepts of full-spectrum thinking and reveals the role that digital media—including gameful engagement, big-data analytics, visualization, blockchain, and machine learning—will play in facilitating and enhancing it. He offers examples of broader spectrums and new applications in a wide range of areas that will become possible first, then mandatory. This visionary book provides powerful ways to make sense of new opportunities and see the world as it really is.

Realism and Complexity in Social Science is an argument for a new approach to investigating the social world, that of complex realism. Complex realism brings together a number of strands of thought, in scientific realism, complexity science, probability theory and social research methodology. It proposes that the reality of the social world is that it is probabilistic, yet there exists enough invariance to make the discovery and explanation of social objects and causal mechanisms possible. This forms the basis for the development of a complex realist foundation for social research, that utilises a number of new and novel approaches to investigation, alongside the more traditional corpus of quantitative and qualitative methods. Research examples are drawn from research in sociology, epidemiology, criminology, social policy and human geography. The book assumes no prior knowledge of realism, probability or complexity and in the early chapters, the reader is introduced to these concepts and the arguments against them. Although the book is grounded in philosophical reasoning, this is in a direct and accessible style that will appeal both to social researchers with a methodological interest and philosophers with an interest in social investigation.

Working with children in foster care is a demanding and rigorous aspect of social work practice. Difficult decisions in fast-moving and often complex situations have to be made, and for students and practitioners alike, there is a vast array of legislation, law and social policy to understand. This book is written to help social workers and social work students get to grips with the complexity of foster care. The child is placed at the heart of the text and there are substantial chapters on law, policy frameworks and the overreaching theoretical and research evidence to support good practice. There is also a strong focus on practical skills such as empathy and relationship-based practice. This is an essential text for experienced social workers or those currently in training.