Today, encyclopedias, jetliners, operating systems, mutual funds, and many other items are being created by teams numbering in the thousands or even millions. While some leaders fear the heaving growth of these massive online communities, Wikinomics proves this fear is folly. Smart firms can harness collective capability and genius to spur innovation, growth, and success. A brilliant guide to one of the most profound changes of our time, Wikinomics challenges our most deeply-rooted assumptions about business and will prove indispensable to anyone who wants to understand competitiveness in the twenty-first century. Based on a $9 million research project led by bestselling author Don Tapscott, Wikinomics shows how masses of people can participate in the economy like never before. They are creating TV news stories, sequencing the human genome, remixing their favorite music, designing software, finding a cure for disease, editing school texts, inventing new cosmetics, or even building motorcycles. You'll read about: • Rob McEwen, the Goldcorp, Inc. CEO who used open source tactics and an online competition to save his company and breathe new life into an old-fashioned industry. • Flickr, Second Life, YouTube, and other thriving online communities that transcend social networking to pioneer a new form of collaborative production. • Mature companies like Procter & Gamble that cultivate nimble, trust-based relationships with external collaborators to form vibrant business ecosystems. An important look into the future, Wikinomics will be your road map for doing business in the twenty-first century.

    This text surveys major interests and institutions and examines how state and non-state actors pursue wealth and power. Emphasizing fundamental economic concepts as well as the interplay between domestic and international politics, International Political Economy not only explains how the global economy works; it also encourages students to think critically about how economic policy is made in the context of globalization.

    But in the advanced economies there is mounting evidence that ever-increasing consumption adds little to human happiness and may even impede it. More urgently, it is now clear that the ecosystems that sustain our economies are collapsing under the impacts of rising consumption. Unless we can radically lower the environmental impact of economic activity - and there is no evidence to suggest that we can - we will have to devise a path to prosperity that does not rely on continued growth.Economic heresy? Or an opportunity to improve the sources of well-being, creativity and lasting prosperity that lie outside the realm of the market? Tim Jackson provides a credible vision of how human society can flourish �1/2 within the ecological limits of a finite planet. Fulfilling this vision is simply the most urgent task of our times.This book is a substantially revised and updated version of Jackson's controversial study for the Sustainable Development Commission, an advisory body to the UK Government. The study rapidly became the most downloaded report in the Commission's nine year history when it was launched earlier this year.

    This is how engineers calculate your quality of living, how corporations determine your needs, and how politicians estimate your opinions. These are the numbers you never think about-even though they play a crucial role in every single aspect of your life.What you learn may surprise you, amuse you, or even enrage you. But there's one thing you won't be able to deny: Numbers Rule Your World...An easy read with a big benefit. --Fareed Zakaria, CNNFor those who have anxiety about how organization data-mining is impacting their world, Kaiser Fung pulls back the curtain to reveal the good and the bad of predictive analytics. --Ian Ayres, Yale professor and author of Super Crunchers: Why Thinking By Numbers is the New Way to Be Smart A book that engages us with stories that a journalist would write, the compelling stories behind the stories as illuminated by the numbers, and the dynamics that the numbers reveal. --John Sall, Executive Vice President, SAS InstituteLittle did I suspect, when I picked up Kaiser Fung's book, that I would become so entranced by it - an illuminating and accessible exploration of the power of statistical analysis for those of us who have no prior training in a field that he explores so ably. --Peter Clarke, author of Keynes: The Rise, Fall, and Return of the 20th Century's Most Influential EconomistA tremendous book. . . . If you want to understand how to use statistics, how to think with numbers and yet to do this without getting lost in equations, if you've been looking for the book to unlock the door to logical thinking about problems, well, you will be pleased to know that you are holding that book in your hands. --Daniel Finkelstein, Executive Editor, The Times of LondonI thoroughly enjoyed this accessible book and enthusiastically recommend it to anyone looking to understand and appreciate the role of statistics and data analysis in solving problems and in creating a better world. --Michael Sherman, Texas A&M University, American Statistician

    Inside PFTB (Proofs from The Book) is indeed a glimpse of mathematical heaven, where clever insights and beautiful ideas combine in astonishing and glorious ways. There is vast wealth within its pages, one gem after another. Some of the proofs are classics, but many are new and brilliant proofs of classical results. ...Aigner and Ziegler... write: ..". all we offer is the examples that we have selected, hoping that our readers will share our enthusiasm about brilliant ideas, clever insights and wonderful observations." I do. ... " Notices of the AMS, August 1999..". the style is clear and entertaining, the level is close to elementary ... and the proofs are brilliant. ..." LMS Newsletter, January 1999This third edition offers two new chapters, on partition identities, and on card shuffling. Three proofs of Euler's most famous infinite series appear in a separate chapter. There is also a number of other improvements, such as an exciting new way to "enumerate the rationals."

    They can navigate more data than a doctor or lawyer and act with greater precision. For many years we’ve taken solace in the notion that they can’t create. But now that algorithms can learn and adapt, does the future of creativity belong to machines, too?It is hard to imagine a better guide to the bewildering world of artificial intelligence than Marcus du Sautoy, a celebrated Oxford mathematician whose work on symmetry in the ninth dimension has taken him to the vertiginous edge of mathematical understanding. In The Creativity Code he considers what machine learning means for the future of creativity. The Pollockizer can produce drip paintings in the style of Jackson Pollock, Botnik spins off fanciful (if improbable) scenes inspired by J. K. Rowling, and the music-composing algorithm Emmy managed to fool a panel of Bach experts. But do these programs just mimic, or do they have what it takes to create? Du Sautoy argues that to answer this question, we need to understand how the algorithms that drive them work―and this brings him back to his own subject of mathematics, with its puzzles, constraints, and enticing possibilities.While most recent books on AI focus on the future of work, The Creativity Code moves us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines. It challenges us to reconsider what it means to be human―and to crack the creativity code.

    If you’ve ever sought a job or hired someone, applied to college or guided your child into a good kindergarten, asked someone out on a date or been asked out, you’ve participated in a kind of market. Most of the study of economics deals with commodity markets, where the price of a good connects sellers and buyers. But what about other kinds of “goods,” like a spot in the Yale freshman class or a position at Google? This is the territory of matching markets, where “sellers” and “buyers” must choose each other, and price isn’t the only factor determining who gets what.Alvin E. Roth is one of the world’s leading experts on matching markets. He has even designed several of them, including the exchange that places medical students in residencies and the system that increases the number of kidney transplants by better matching donors to patients. In Who Gets What — And Why, Roth reveals the matching markets hidden around us and shows how to recognize a good match and make smarter, more confident decisions.

    No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars.Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world.As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit.The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.

    Yet how parents seek to achieve this ambition varies enormously. For instance, American and Chinese parents are increasingly authoritative and authoritarian, whereas Scandinavian parents tend to be more permissive. Why? Love, Money, and Parenting investigates how economic forces and growing inequality shape how parents raise their children. From medieval times to the present, and from the United States, the United Kingdom, Germany, Italy, Spain, and Sweden to China and Japan, Matthias Doepke and Fabrizio Zilibotti look at how economic incentives and constraints--such as money, knowledge, and time--influence parenting practices and what is considered good parenting in different countries.Through personal anecdotes and original research, Doepke and Zilibotti show that in countries with increasing economic inequality, such as the United States, parents push harder to ensure their children have a path to security and success. Economics has transformed the hands-off parenting of the 1960s and '70s into a frantic, overscheduled activity. Growing inequality has also resulted in an increasing "parenting gap" between richer and poorer families, raising the disturbing prospect of diminished social mobility and fewer opportunities for children from disadvantaged backgrounds. In nations with less economic inequality, such as Sweden, the stakes are less high, and social mobility is not under threat. Doepke and Zilibotti discuss how investments in early childhood development and the design of education systems factor into the parenting equation, and how economics can help shape policies that will contribute to the ideal of equal opportunity for all.Love, Money, and Parenting presents an engrossing look at the economics of the family in the modern world.

    In this Very Short Introduction, Kenneth Falconer explains the basic concepts of fractal geometry, which produced a revolution in our mathematical understanding of patterns in the twentieth century, and explores the wide range of applications in science, and in aspects of economics.About the Series: Oxford's Very Short Introductions series offers concise and original introductions to a wide range of subjects--from Islam to Sociology, Politics to Classics, Literary Theory to History, and Archaeology to the Bible. Not simply a textbook of definitions, each volume in this series provides trenchant and provocative--yet always balanced and complete--discussions of the central issues in a given discipline or field. Every Very Short Introduction gives a readable evolution of the subject in question, demonstrating how the subject has developed and how it has influenced society. Eventually, the series will encompass every major academic discipline, offering all students an accessible and abundant reference library. Whatever the area of study that one deems important or appealing, whatever the topic that fascinates the general reader, the Very Short Introductions series has a handy and affordable guide that will likely prove indispensable.

    Why do well-intentioned plans for improving the human condition go tragically awry?In this wide-ranging and original book, James C. Scott analyzes failed cases of large-scale authoritarian plans in a variety of fields. Centrally managed social plans misfire, Scott argues, when they impose schematic visions that do violence to complex interdependencies that are not—and cannot—be fully understood. Further, the success of designs for social organization depends upon the recognition that local, practical knowledge is as important as formal, epistemic knowledge. The author builds a persuasive case against "development theory" and imperialistic state planning that disregards the values, desires, and objections of its subjects. He identifies and discusses four conditions common to all planning disasters: administrative ordering of nature and society by the state; a "high-modernist ideology" that places confidence in the ability of science to improve every aspect of human life; a willingness to use authoritarian state power to effect large- scale interventions; and a prostrate civil society that cannot effectively resist such plans.

    The content of this book has been used successfully with students whose mathematics background consists of calculus and calculus-based probability. The text gives both precise statements of results, plausibility arguments, and even some proofs, but more importantly intuitive explanations developed and refine through classroom experience with this material are provided. The book includes a self-contained treatment of the probability theory needed for shastic calculus, including Brownian motion and its properties. Advanced topics include foreign exchange models, forward measures, and jump-diffusion processes.This book is being published in two volumes. This second volume develops shastic calculus, martingales, risk-neutral pricing, exotic options and term structure models, all in continuous time.Masters level students and researchers in mathematical finance and financial engineering will find this book useful.Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.

    Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor.

    This must change to insure a capitalism that works for us all.In this scathing indictment of our current global financial system, The Value of Everything rigorously scrutinizes the way in which economic value has been determined and reveals how the difference between value creation and value extraction has become increasingly blurry. Mariana Mazzucato argues that this blurriness allowed certain actors in the economy to portray themselves as value creators, while in reality they were just moving existing value around or, even worse, destroying it.The book uses case studies - from Silicon Valley to the financial sector to big pharma - to show how the foggy notions of value create confusion between rents and profits, a difference that distorts the measurements of growth and GDP.The lesson here is urgent and sobering: to rescue our economy from the next, inevitable crisis and to foster long-term economic growth, we will need to rethink capitalism, rethink the role of public policy and the importance of the public sector, and redefine how we measure value in our society.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases