He believes that we should investigate what makes some countries more capable than others. Complex products—from films to robots, apps to automobiles—are a physical distillation of an economy’s knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience.A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    Herman and Noam Chomsky show that, contrary to the usual image of the news media as cantankerous, obstinate, and ubiquitous in their search for truth and defense of justice, in their actual practice they defend the economic, social, and political agendas of the privileged groups that dominate domestic society, the state, and the global order.Based on a series of case studies—including the media’s dichotomous treatment of “worthy” versus “unworthy” victims, “legitimizing” and “meaningless” Third World elections, and devastating critiques of media coverage of the U.S. wars against Indochina—Herman and Chomsky draw on decades of criticism and research to propose a Propaganda Model to explain the media’s behavior and performance. Their new introduction updates the Propaganda Model and the earlier case studies, and it discusses several other applications. These include the manner in which the media covered the passage of the North American Free Trade Agreement and subsequent Mexican financial meltdown of 1994-1995, the media’s handling of the protests against the World Trade Organization, World Bank, and International Monetary Fund in 1999 and 2000, and the media’s treatment of the chemical industry and its regulation. What emerges from this work is a powerful assessment of how propagandistic the U.S. mass media are, how they systematically fail to live up to their self-image as providers of the kind of information that people need to make sense of the world, and how we can understand their function in a radically new way.

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    It proposes enlightening similarities between, for instance, maneuvering in limited war and in a traffic jam; deterring the Russians and one's own children; the modern strategy of terror and the ancient institution of hostages.

    Leonard examines the “stuff” we use everyday, offering a galvanizing critique and steps for a changed planet.The Story of Stuff was received with widespread enthusiasm in hardcover, by everyone from Stephen Colbert to Tavis Smiley to George Stephanopolous on Good Morning America, as well as far-reaching print and blog coverage. Uncovering and communicating a critically important idea—that there is an intentional system behind our patterns of consumption and disposal—Annie Leonard transforms how we think about our lives and our relationship to the planet.From sneaking into factories and dumps around the world to visiting textile workers in Haiti and children mining coltan for cell phones in the Congo, Leonard, named one of Time magazine’s 100 environmental heroes of 2009, highlights each step of the materials economy and its actual effect on the earth and the people who live near sites like these.With curiosity, compassion, and humor, Leonard shares concrete steps for taking action at the individual and political level that will bring about sustainability, community health, and economic justice. Embraced by teachers, parents, churches, community centers, activists, and everyday readers, The Story of Stuff will be a long-lived classic.

    This volume provides an integrated micro/macro perspective on human behaviour, insights into human behaviour from biological, psychological and spiritual perspectives, and an examination of various human environments, from families to social movements and institutions.

    Sway introduces us to the Harvard Business School professor who got his students to pay $204 for a $20 bill, the head of airline safety whose disregard for his years of training led to the transformation of an entire industry, and the football coach who turned conventional strategy on its head to lead his team to victory. We also learn the curse of the NBA draft, discover why interviews are a terrible way to gauge future job performance, and go inside a session with the Supreme Court to see how the world’s most powerful justices avoid the dangers of group dynamics.Every once in a while, a book comes along that not only challenges our views of the world but changes the way we think. In Sway, Ori and Rom Brafman not only uncover rational explanations for a wide variety of irrational behaviors but also point readers toward ways to avoid succumbing to their pull.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    Epstein and Robert L. Axtell approach this age-old question with cutting-edge computer simulation techniques. Such fundamental collective behaviors as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following simple local rules.In their computer model, Epstein and Axtell begin the development of a "bottom up" social science. Their program, named Sugarscape, simulates the behavior of artificial people (agents) located on a landscape of a generalized resource (sugar). Agents are born onto the Sugarscape with a vision, a metabolism, a speed, and other genetic attributes. Their movement is governed by a simple local rule: "look around as far as you can; find the spot with the most sugar; go there and eat the sugar." Every time an agent moves, it burns sugar at an amount equal to its metabolic rate. Agents die if and when they burn up all their sugar. A remarkable range of social phenomena emerge. For example, when seasons are introduced, migration and hibernation can be observed. Agents are accumulating sugar at all times, so there is always a distribution of wealth.Next, Epstein and Axtell attempt to grow a "proto-history" of civilization. It starts with agents scattered about a twin-peaked landscape; over time, there is self-organization into spatially segregated and culturally distinct "tribes" centered on the peaks of the Sugarscape. Population growth forces each tribe to disperse into the sugar lowlands between the mountains. There, the two tribes interact, engaging in combat and competing for cultural dominance, to produce complex social histories with violent expansionist phases, peaceful periods, and so on. The proto-history combines a number of ingredients, each of which generates insights of its own. One of these ingredients is sexual reproduction. In some runs, the population becomes thin, birth rates fall, and the population can crash. Alternatively, the agents may over-populate their environment, driving it into ecological collapse.When Epstein and Axtell introduce a second resource (spice) to the Sugarscape and allow the agents to trade, an economic market emerges. The introduction of pollution resulting from resource-mining permits the study of economic markets in the presence of environmental factors.This study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the middle of the next century and to design policy actions to help achieve such a system.

    His students, some of the nation’s brightest minds, were adrift when it came to the big questions: how to think critically and creatively, and how to find a sense of purpose.Excellent Sheep takes a sharp look at the high-pressure conveyor belt that begins with parents and counselors who demand perfect grades and culminates in the skewed applications Deresiewicz saw firsthand as a member of Yale’s admissions committee. As schools shift focus from the humanities to "practical" subjects like economics and computer science, students are losing the ability to think in innovative ways. Deresiewicz explains how college should be a time for self-discovery, when students can establish their own values and measures of success, so they can forge their own path. He addresses parents, students, educators, and anyone who's interested in the direction of American society, featuring quotes from real students and graduates he has corresponded with over the years, candidly exposing where the system is broken and clearly presenting solutions.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    An Australian millionaire says Millennials could all afford homes if we'd just give up avocado toast. Thanks, millionaire. This Millennial is here to prove them all wrong.Millennials have been stereotyped as lazy, entitled, narcissistic, and immature. We've gotten so used to sloppy generational analysis filled with dumb clichés about young people that we've lost sight of what really unites Millennials. Namely:-We are the most educated and hard-working generation in American history.-We poured historic and insane amounts of time and money into preparing ourselves for the 21st century labor market.- We have been taught to consider working for free (homework, internships) a privilege for our own benefit.- We are poorer, more medicated, and more precariously employed than our parents, grandparents, even our great grandparents, with less of a social safety net to boot. Kids These Days, is about why. In brilliant, crackling prose, early Wall Street occupier Malcolm Harris gets mercilessly real about our maligned birth cohort. Examining trends like runaway student debt, the rise of the intern, mass incarceration, social media, and more, Harris gives us a portrait of what it means to be young in America today that will wake you up and piss you off. Millennials were the first generation raised explicitly as investments, Harris argues, and in Kids These Days he dares us to confront and take charge of the consequences now that we are grown up.

    Most of us complain that there aren't enough hours in the day and too many e-mails in our thumb-accessible inboxes. This widespread perception that life is faster than it used to be is now ingrained in our culture, and smartphones and the Internet are continually being blamed. But isn't the sole purpose of the smartphone to give us such quick access to people and information that we'll be free to do other things? Isn't technology supposed to make our lives easier?   In Pressed for Time, Judy Wajcman explains why we immediately interpret our experiences with digital technology as inexorably accelerating everyday life. She argues that we are not mere hostages to communication devices, and the sense of always being rushed is the result of the priorities and parameters we ourselves set rather than the machines that help us set them. Indeed, being busy and having action-packed lives has become valorized by our productivity driven culture. Wajcman offers a bracing historical perspective, exploring the commodification of clock time, and how the speed of the industrial age became identified with progress. She also delves into the ways time-use differs for diverse groups in modern societies, showing how changes in work patterns, family arrangements, and parenting all affect time stress. Bringing together empirical research on time use and theoretical debates about dramatic digital developments, this accessible and engaging book will leave readers better versed in how to use technology to navigate life's fast lane.

    It draws our attention away from the bright shiny objects of the new colonialism through elucidating the social, material and political dimensions of Artificial Intelligence.”—Geoffrey C. Bowker, University of California, Irvine What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased racial, gender, and economic inequality. Drawing on more than a decade of research, award‑winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind “automated” services, to the data AI collects from us.    Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.