At the start of the new millennium, mankind is challenged by a paradox: the more we know about the world the more uncertain we become in understanding and predicting how it works. This book presents an outline of a new basis for Systems Science, and a methodology for its application in complex environmental, economic, social, and technological systems.

The dynamic systems approach is a rapidly expanding advancement in the study of developmental research, particularly in the domain of adolescent development. It provides a unique way of examining the subject, and this innovative study of developmental processes helps social scientists to translate dynamic systems conceptualizations into clear empirical research that readers will be able to implement themselves. The first part of this edited book discusses techniques that describe and assess specific process characteristics such as variability, sudden jumps and attractor states. The second part explores the different techniques for building a dynamic systems model, which can simulate the behaviour of a system to investigate the mechanisms behind the processes. Each chapter describes one technique and is based on a specific practical example of its application in adolescent development. Step-by-step instructions for model-building and examples of ready-made models are provided on the website that belongs to the book: www.psypress.com/dynamic-systems-approach. This book provides a clear step-by-step description of theories and techniques that are designed for the study of developmental processes, and is therefore ideal for researchers of developmental psychology who do not specialise in statistics or research methods.

This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communities of nations). Part three contains discussions of non-Gaussian laws connected to scientific productivity and presents various deterministic and stochastic models of science dynamics and research productivity. The book shows that many famous fat tail distributions as well as many deterministic and stochastic models and processes, which are well known from physics, theory of extreme events or population dynamics, occur also in the description of dynamics of scientific systems and in the description of the characteristics of research productivity. This is not a surprise as scientific systems are nonlinear, open and dissipative.

All psychological processes—like biological and social ones—are dynamic. Phenomena of nature, society, and the human psyche are context bound, constantly changing, and variable. This feature of reality is often not recognized in the social sciences where we operate with averaged data and with homogeneous stereotypes, and consider our consistency to be the cornerstone of rational being. Yet we are all inconsistent in our actions within a day, or from, one day to the next, and much of such inconsistency is of positive value for our survival and development. Our inconsistent behaviors and thoughts may appear chaotic, yet there is generality within this highly variable dynamic. The task of scientific methodologies—qualitative and quantitative—is to find out what that generality is. It is the aim of this handbook to bring into one framework various directions of construction of methodology of the dynamic processes that exist in the social sciences at the beginning of the 21st century. This handbook is set up to bring together pertinent methodological scholarship from all over the world, and equally from the quantitative and qualitative orientations to methodology. In addition to consolidating the pertinent knowledge base for the purposes of its further growth, this book serves the major educational role of bringing practitioners—students, researchers, and professionals interested in applications—the state of the art know-how about how to think about extracting evidence from single cases, and about the formal mathematical-statistical tools to use for these purposes.

While sustainability has become a buzzword in discussions about the environment and development, work on theories of sustainable development has received much less attention. However, theory is vital as understanding the origins and development of the concept is the key to achieving successful implementation of sustainability. This book offers an interdisciplinary collection of research articles on the theories of sustainable development, drawing on a wide range of subjects including history, politics, governance, complex systems, economics and philosophy. It advocates viewing sustainable development not only as the establishment of a permanent, globally practicable and future-capable mode of life and economics, but as a complex array of problems involving a wide range of social-scientific and humanistic disciplines. This innovative approach means that the book is oriented toward current problems, not toward the established academic boundaries, and it draws out lessons that are relevant for those studying and working in sustainability across the world. This book will be of great interest to researchers and students of sustainable development and environmental politics, as well as practitioners working with sustainable development in politics, business, administration, and civil society organizations.

At the start of the new millennium, mankind is challenged by a paradox: the more we know about the world the more uncertain we become in understanding and predicting how it works. This book presents an outline of a new basis for Systems Science, and a methodology for its application in complex environmental, economic, social, and technological systems.

This thought-provoking and colorful book cuts through the fog of vision and advocacy by comparing and applying new quantitative tools of both environmental and ecological economics. Environmental accounts and empirical analyses provide operational concepts and measures of the sustainability of economic performance and growth. The text raises doubts, however, about the measurability of sustainable development. Further reading sections are provided at the end of each chapter.