Tenner shows why our confidence in technological solutions may be misplaced, and explores ways in which we can better survive in a world where despite technology's advances--and often because of them--"reality is always gaining on us."  For anyone hoping to understand the ways in which society and technology interact, Why Things Bite Back is indispensable reading.  "A bracing critique of technological determinism in both its utopian and dystopian forms...No one who wants to think clearly about our high-tech future can afford to ignore this book."--Jackson Lears, Wilson Quarterly

    And so, too often, 'the bland lead the bland'. Our unfamiliar problems need a new approach, and the reception given to this famous book has shown the value of its fresh, lively ideas.'A compelling challenge to conventional thought'  The New York Times'He shows himself a truly sensitive and civilized man, whose ideas are grounded in the common culture of the two continents, and may serve as a link between them; his book is of foremost importance for them both'  The Times Literary SupplementJohn Kenneth Galbraith (1908-2006) was a Canadian-American economist. A Keynesian and an institutionalist, Galbraith was a leading proponent of 20th-century American liberalism and progressivism. Galbraith was the author of 30 books, including The Economics of Innocent Fraud, The Great Crash: 1929, and A History of Economics.

    A recognized classic of cultural anthropology, this book explores the political, religious, and economic life of Japan from the seventh century through the mid-twentieth, as well as personal family life.

    Born in the mid-1990s to the mid-2000s and later, iGen is the first generation to spend their entire adolescence in the age of the smartphone. With social media and texting replacing other activities, iGen spends less time with their friends in person—perhaps why they are experiencing unprecedented levels of anxiety, depression, and loneliness. But technology is not the only thing that makes iGen distinct from every generation before them; they are also different in how they spend their time, how they behave, and in their attitudes toward religion, sexuality, and politics. They socialize in completely new ways, reject once sacred social taboos, and want different things from their lives and careers. More than previous generations, they are obsessed with safety, focused on tolerance, and have no patience for inequality. iGen is also growing up more slowly than previous generations: eighteen-year-olds look and act like fifteen-year-olds used to. As this new group of young people grows into adulthood, we all need to understand them: Friends and family need to look out for them; businesses must figure out how to recruit them and sell to them; colleges and universities must know how to educate and guide them. And members of iGen also need to understand themselves as they communicate with their elders and explain their views to their older peers. Because where iGen goes, so goes our nation—and the world.

    We live in an age of winners and losers, where the odds are stacked in favour of the already fortunate. Stalled social mobility and entrenched inequality give the lie to the promise that "you can make it if you try". And the consequence is a brew of anger and frustration that has fuelled populist protest, with the triumph of Brexit and election of Donald Trump.Michael J. Sandel argues that to overcome the polarized politics of our time, we must rethink the attitudes toward success and failure that have accompanied globalisation and rising inequality. Sandel highlights the hubris a meritocracy generates among the winners and the harsh judgement it imposes on those left behind. He offers an alternative way of thinking about success - more attentive to the role of luck in human affairs, more conducive to an ethic of humility, and more hospitable to a politics of the common good.

    In a spirited and original contribution to this quickening discussion, two renowned historians, father and son, explore the webs that have drawn humans together in patterns of interaction and exchange, cooperation and competition, since earliest times. Whether small or large, loose or dense, these webs have provided the medium for the movement of ideas, goods, power, and money within and across cultures, societies, and nations. From the thin, localized webs that characterized agricultural communities twelve thousand years ago, through the denser, more interactive metropolitan webs that surrounded ancient Sumer, Athens, and Timbuktu, to the electrified global web that today envelops virtually the entire world in a maelstrom of cooperation and competition, J. R. McNeill and William H. McNeill show human webs to be a key component of world history and a revealing framework of analysis. Avoiding any determinism, environmental or cultural, the McNeills give us a synthesizing picture of the big patterns of world history in a rich, open-ended, concise account.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    And considering that the "one man" is Neal Stephenson, "the hacker Hemingway" (Newsweek) -- acclaimed novelist, pragmatist, seer, nerd-friendly philosopher, and nationally bestselling author of groundbreaking literary works (Snow Crash, Cryptonomicon, etc., etc.) -- the word is well worth hearing. Mostly well-reasoned examination and partial rant, Stephenson's In the Beginning... was the Command Line is a thoughtful, irreverent, hilarious treatise on the cyber-culture past and present; on operating system tyrannies and downloaded popular revolutions; on the Internet, Disney World, Big Bangs, not to mention the meaning of life itself.

    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.