This wide-ranging and accessible book serves as a fascinating guide to the strategies and concepts that help us understand the boundaries between physics, on the one hand, and sociology, economics, and biology on the other. From cooperation and criticality to flock dynamics and fractals, the author addresses many of the topics belonging to the broad theme of complexity. He chooses excellent examples (requiring no prior mathematical knowledge) to illuminate these ideas and their implications. The lively style and clear description of the relevant models will appeal both to novices and those with an existing knowledge of the field.

In The Quantum Society authors Danah Zohar and Ian Marshall offer a compelling vision for transforming society using the insights of quantum physics to illuminate their ideas. Diversity, they suggest, is the creative evolutionary force, and the more diverse the society, the greater the opportunity for transformation and growth. Their theory of cosmic and social evolution allows us to discover the meaning and purpose of society through an appreciation and understanding of pluralistic thinking. The result is an all-embracing social model that celebrates the dynamic unity that is possible when we work together to orchestrate and articulate our interdependence. The quantum society is flexible, evolving, and ambiguous. In short, it reflects the idea of society as a living system. The authors use the language of physics to provide the images and metaphors appropriate for understanding the principles that inform this system, bringing into focus our harmonious place within the natural world.

A limit order book is essentially a file on a computer that contains all orders sent to the market, along with their characteristics such as the sign of the order, price, quantity and a timestamp. The majority of organized electronic markets rely on limit order books to store the list of interests of market participants on their central computer. A limit order book contains all the information available on a specific market and it reflects the way the market moves under the influence of its participants. This book discusses several models of limit order books. It begins by discussing the data to assess their empirical properties, and then moves on to mathematical models in order to reproduce the observed properties. Finally, the book presents a framework for numerical simulations. It also covers important modelling techniques including agent-based modelling, and advanced modelling of limit order books based on Hawkes processes. The book also provides in-depth coverage of simulation techniques and introduces general, flexible, open source library concepts useful to readers studying trading strategies in order-driven markets.

Scale -- Space and time -- Energy and matter -- The quantum world -- Thermodynamics and the arrow of time -- Unification -- The future of physics -- The usefulness of physics -- Thinking like a physicist.

In an era when pressing environmental problems make collaboration across the divide between sciences and arts and humanities essential, this book presents the results of a collaborative analysis by an anthropologist and a physicist of four key junctures between science, society, and environment. The first focuses on the systemic bias in science in favour of studying esoteric subjects as distinct from the mundane subjects of everyday life; the second is a study of the fire-climax grasslands of Southeast Asia, especially those dominated by Imperata cylindrica (sword grass); the third reworks the idea of ‘moral economy’, applying it to relations between environment and society; and the fourth focuses on the evolution of the global discourse of the culpability and responsibility of climate change. The volume concludes with the insights of an interdisciplinary perspective for the natural and social science of sustainability. It argues that failures of conservation and development must be viewed systemically, and that mundane topics are no less complex than the more esoteric subjects of science. The book addresses a current blind spot within the academic research community to focusing attention on the seemingly common and mundane beliefs and practices that ultimately play the central role in the human interaction with the environment. This book will benefit students and scholars from a number of different academic disciplines, including conservation and environment studies, development studies, studies of global environmental change, anthropology, geography, sociology, politics, and science and technology studies.

Nations around the globe consider physics education an important tool of economic and social development and currently advocate the use of innovative strategies to prepare students for knowledge and skills acquisition. Particularly in the last decade, a series of revisions were made to physics curricula in an attempt to cope with the changing needs and expectations of society. Educational transformation is a major challenge due to educational systems’ resistance to change. Updated curriculum content, pedagogical facilities (for example, computers in a school), new teaching and learning strategies and the prejudice against girls in physics classes are all issues that have to be addressed. Educational research provides a way to build schemas and resources to promote changes in physics education. This volume presents physics teaching and learning research connected with the main educational scenarios.

The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.