A criminal case can often hinge on a piece of evidence such as a hair, a blood trace, a bit of saliva on a cigarette butt, or the telltale mark of a tire tread. High profile cases have stoked this interest in recent years and some of the most popular shows on television--such as CSI: Crime Scene Investigation and its raft of spin-offs--attest to the enduring popularity of forensic science as a form of grisly entertainment. This Very Short Introduction looks at the nature of forensic science, examining what forensic science is, how it is used in the investigation of crime, how crime scenes are managed, how forensic scientists work, the different techniques used to recover evidence, and the range of methods available for analysis. It also considers how forensic science serves the criminal justice system and the challenges of communicating complex scientific evidence in a court of law.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    This short and accessible introduction provides an invaluable tool with which to think about the ethical values that lie at the heart of medicine.Tony Hope deals with thorny moral issues, including euthanasia and the morality of killing. He also explores political questions, such as how we can make sure health care resources are distributed fairly. Each chapter in the book considers a different issue, for example, genetics, modern reproductive technologies, resource allocation, mental health, and medical research. Each section also discusses controversial questions such as: Who should have access to reproductive technology? Is it right to fund expensive drug treatment for individuals? Should treatment for mental illness be imposed on patients without their consent? Considering a wide range of questions of medical ethics, this Very Short Introduction will help to explain some of the confusing issues facing the field of medicine today.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.

    How closely linked are migrants with terrorist organizations? What factors lie behind the dramatic increase in the number of woman migrating? This Very Short Introduction looks at the global phenomenon of human migration--both legal and illegal-revealing how migration actually presents opportunities that must be taken advantage of in light of the current economic climate. The author debunks myths such as the claim that migrants take jobs away from local workers, or that they take advantage of health care systems. He reveals why society as we now know it could not function without them.Using interviews with migrants from around the world, the author presents the human side of topics such as asylum and refugees, human trafficking, migrant smuggling, development, and the international labor force. His goal throughout is to allow readers to see beyond the negative spin usually given the subject by the media and politicians, and come to their own conclusions on the current international migration situation. It is a valuable reference for students of economics, politics, geography, or sociology, and for anyone interested in taking a deeper look at media coverage of immigration and its effects.

    During his lifetime he worked as a civil servant and published only a handful of short stories, the best known being The Transformation. His other three novels, published after his death, helped to found his reputation as a uniquely perceptive interpreter of the twentieth century.Discussing both Kafka's crisis-ridden life and the subtleties of his art, Ritchie Robertson provides an intriguing and accessible look at the life of this fascinating author. Using Metamorphosis as a recurring example, Robertson shows how Kafka's work explores such characteristically modern themes as the place of the body in culture, the power of institutions over people, and the possibility of religion after Nietzsche had proclaimed the death of God.

    In this Very Short Introduction Lord Skidelsky, a renowned biographer of Keynes, explores his ethical and practical philosophy, his monetary thought, and provides an insight into his life and works.In the recent financial crisis Keynes's theories have become more timely than ever, and remain at the centre of political and economic discussion. With a look at his major works and his contribution to twentieth-century economic thought, Skidelsky considers Keynes's legacy on today's society.

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton

    He also looks at philosophical issues in particular sciences, including the problem of classification in biology, and the nature of space and time in physics. The final chapter touches on the conflicts between science and religion, and explores whether science is ultimately a good thing.About the Series: Combining authority with wit, accessibility, and style, Very Short Introductions offer an introduction to some of life's most interesting topics. Written by experts for the newcomer, they demonstrate the finest contemporary thinking about the central problems and issues in hundreds of key topics, from philosophy to Freud, quantum theory to Islam.

    He was also its most formidable critic, condemning the political, economic, theological, and sexual trappings of civilization along lines that would excite the enthusiasm of romantic individualists and radical revolutionaries alike. In this study of Rousseau's life and works, Robert Wolker shows how his philosophy of history, his theories of music and politics, his fiction, educational, and religious writings, and even his botany, were all inspired by revolutionary ideals of mankind's self-realization in a condition of unfettered freedom. He explains how, in regressing to classical republicanism, ancient mythology, direct communication with God, and solitude, Rousseau anticipated some post-modernist rejections of the Enlightenment as well.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    In this new treatment of the subject, Hopkins focuses on the many debates surrounding these movements: the Marquis de Sade's Surrealist deification, issues of quality (How good is Dali?), the idea of the 'readymade', attitudes towards the city, the impact of Freud, attitudes to women, fetishism, and primitivism. The international nature of these movements is examined, covering the cities of Zurich, New York, Berlin, Cologne, Barcelona, Paris, London, and recently discovered examples in Eastern Europe. Hopkins explores the huge range of media employed by both Dada and Surrealism (collage, painting, found objects, performance art, photography, film), whilst at the same time establishing the aesthetic differences between the movements. He also examines the Dadaist obsession with the body-as-mechanism in relation to the Surrealists' return to the fetishized/eroticized body.

    From Edward Lorenz’s discovery of the Butterfly Effect, to Mitchell Feigenbaum’s calculation of a universal constant, to Benoit Mandelbrot’s concept of fractals, which created a new geometry of nature, Gleick’s engaging narrative focuses on the key figures whose genius converged to chart an innovative direction for science. In Chaos, Gleick makes the story of chaos theory not only fascinating but also accessible to beginners, and opens our eyes to a surprising new view of the universe.

    Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.

    If it takes a book to get it across, I hope this book will do it. It ought to.”—Thomas Schelling, Distinguished University Professor, School of Public Policy, University of Maryland, and 2005 Nobel Prize Laureate in Economics “With humor, insight, piercing logic and a nod to history, Ziliak and McCloskey show how economists—and other scientists—suffer from a mass delusion about statistical analysis. The quest for statistical significance that pervades science today is a deeply flawed substitute for thoughtful analysis. . . . Yet few participants in the scientific bureaucracy have been willing to admit what Ziliak and McCloskey make clear: the emperor has no clothes.”—Kenneth Rothman, Professor of Epidemiology, Boston University School of Health The Cult of Statistical Significance shows, field by field, how “statistical significance,” a technique that dominates many sciences, has been a huge mistake. The authors find that researchers in a broad spectrum of fields, from agronomy to zoology, employ “testing” that doesn’t test and “estimating” that doesn’t estimate. The facts will startle the outside reader: how could a group of brilliant scientists wander so far from scientific magnitudes? This study will encourage scientists who want to know how to get the statistical sciences back on track and fulfill their quantitative promise. The book shows for the first time how wide the disaster is, and how bad for science, and it traces the problem to its historical, sociological, and philosophical roots. Stephen T. Ziliak is the author or editor of many articles and two books. He currently lives in Chicago, where he is Professor of Economics at Roosevelt University. Deirdre N. McCloskey, Distinguished Professor of Economics, History, English, and Communication at the University of Illinois at Chicago, is the author of twenty books and three hundred scholarly articles. She has held Guggenheim and National Humanities Fellowships. She is best known for How to Be Human* Though an Economist (University of Michigan Press, 2000) and her most recent book, The Bourgeois Virtues: Ethics for an Age of Commerce (2006).

    This began to change with the devising of methods to try to tap into what was going on in the 'black box' of the mind, and the development of 'cognitive psychology'. With the study of patients who had suffered brain damage or injury to limited parts of the brain, outlines of brain components and processes began to take shape, and by the end of the 1970s, a new science, cognitive neuroscience, was born. But it was with the development of ways of accessing activation of the working brain using imaging techniques such as PET and fMRI that cognitive neuroscience came into its own, as a science cutting across psychology and neuroscience, with strong connections to philosophy of mind. Experiments involving subjects in scanners while doing various tasks, thinking, problem solving, and remembering are shedding light on the brain processes involved. The research is exciting and new, and often makes media headlines. But there is much misunderstanding about what brain imaging tells us, and the interpretation of studies on cognition.In this Very Short Introduction Richard Passingham, a distinguished cognitive neuroscientist, gives a provocative and exciting account of the nature and scope of this relatively new field, and the techniques available to us, focusing on investigation of the human brain. He explains what brain imaging shows, pointing out common misconceptions, and gives a brief overview of the different aspects of human cognition: perceiving, attending, remembering, reasoning, deciding, and acting. Passingham concludes with a discussion of the exciting advances that may lie ahead.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.