Exploring Complexity


Book Description

Unexpected discoveries in nonequilibrium physics and nonlinear dynamics are changing our understanding of complex phenomena. Recent research has revealed fundamental new properties of matter in far-from-equilibrium conditions, and the prevalence of instability-where small changes in initial conditions may lead to amplified effects.




Exploring Complexity in Health: An Interdisciplinary Systems Approach


Book Description

The field of health is an increasingly complex and technical one; and an area in which a more multidisciplinary approach would undoubtedly be beneficial in many ways. This book presents papers from the conference ‘Health – Exploring Complexity: An Interdisciplinary Systems Approach’, held in Munich, Germany, from August 28th to September 2nd 2016. This joint conference unites the conferences of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), the German Society for Epidemiology (DGEpi), the International Epidemiological Association - European Region, and the European Federation for Medical Informatics (EFMI). These societies already have long-standing experience of integrating the disciplines of medical informatics, biometry, epidemiology and health data management. The book contains over 160 papers, and is divided into 14 sections covering subject areas such as: health and clinical information systems; eHealth and telemedicine; big data and advanced analytics; and evidence-based health informatics, evaluation and education, among many others. The book will be of value to all those working in the field of health and interested in finding new ways to enable the collaboration of different scientific disciplines and the establishment of comprehensive methodological approaches.




Think Complexity


Book Description

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers




Discovering Complexity


Book Description

An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993.




Complexity Theory


Book Description

Reflects recent developments in its emphasis on randomized and approximation algorithms and communication models All topics are considered from an algorithmic point of view stressing the implications for algorithm design




Environmental Decision-making


Book Description

Contemporary environmental decisions are made within the context of sustainability aimed at meeting integrated ecological, economic and social goals. Most involve a complex mix of actors and institutions - differing values and differing interests. Choices are difficult and often controversial, and decision-making processes and contexts provide crucial influences on outcomes.This book explores these processes and context and the influences which affect them. For example:How do different value systems influence what environmental issues come onto the public agenda, and their management? What institutions and actors are involved in the processes and how? What tools are available and what are their limitations? How should we deal with uncertainty and risk? How do we incorporate relevant but very different forms of knowledge, and how do we manage the information 'explosion'? The authors take a multidisciplinary approach and engage in themes from political science, law, economics, philosophy, natural sciences, geography, engineering and sociology. Their book is rich with practical examples, including three extensive case studies that illustrate the complexities and contestations of environmental decision-making..The book is aimed at the ever-widening range of people who are, or are hoping to become, environmental professionals, whether from the scientific, technical or social science fields. It is also relevant for interested members of the public.




43 Visions For Complexity


Book Description

Coping with the complexities of the social world in the 21st century requires deeper quantitative and predictive understanding. Forty-three internationally acclaimed scientists and thinkers share their vision for complexity science in the next decade in this invaluable book. Topics cover how complexity and big data science could help society to tackle the great challenges ahead, and how the newly established Complexity Science Hub Vienna might be a facilitator on this path.Published in collaboration with Institute Para Limes.







Maker-Centered Learning


Book Description

The Agency by Design guide to implementing maker-centered teaching and learning Maker-Centered Learning provides both a theoretical framework and practical resources for the educators, curriculum developers, librarians, administrators, and parents navigating this burgeoning field. Written by the expert team from the Agency by Design initiative at Harvard's Project Zero, this book Identifies a set of educational practices and ideas that define maker-centered learning, and introduces the focal concepts of maker empowerment and sensitivity to design. Shares cutting edge research that provides evidence of the benefits of maker-centered learning for students and education as a whole. Presents a clear Project Zero-based framework for maker-centered teaching and learning Includes valuable educator resources that can be applied in a variety of design and maker-centered learning environments Describes unique thinking routines that foster the primary maker capacities of looking closely, exploring complexity, and finding opportunity. A surge of voices from government, industry, and education have argued that, in order to equip the next generation for life and work in the decades ahead, it is vital to support maker-centered learning in various educational environments. Maker-Centered Learning provides insight into what that means, and offers tools and knowledge that can be applied anywhere that learning takes place.




Emergence, Complexity, and Self-organization


Book Description

Emergence, Complexity, and Self-Organization have become vital focuses of interest not only in the fields of science and philosophy but also in the wider worlds of business and politics. This book presents a series of essays by thinkers who anticipated the significance of those issues and laid the foundations for their current importance. Readers of this book will encounter the important and varied figures of Immanuel Kant, John Stuart Mill, Charles Saunders Peirce, Henry Poincaré, Henri Bergson, Alfred North Whitehead, and the British "Emergentists" Samuel Alexander, C. Lloyd Morgan, and C. D. Broad. They will also find essays by the South African thinker and statesman Jan Smuts, the American philosopher Arthur Lovejoy, the eminent physicist Erwin Schrödinger, two more recent thinkers on emergence, P. E. Meehl and Wilfred Sellars, and Ludwig von Bertalanffy, one of the founders of General Systems Theory. In their detailed and comprehensive introduction to the collection, editors Alicia Juarrero and Carl A. Rubino set the essays in contexts stretching from Heraclitus, Parmenides, Plato, Aristotle, and Hegel to some of the religious, scientific, and philosophical challenges we face today.