Translated and with a Foreword by Louis Wirth and Edward Shils; Preface by Wirth; Indices.

    Applying economic analysis to the subjects of the political scientist, sociologist, and economist, Mancur Olson examines the extent to which the individuals that share a common interest find it in their individual interest to bear the costs of the organizational effort.The theory shows that most organizations produce what the economist calls "public goods"--goods or services that are available to every member, whether or not he has borne any of the costs of providing them. Economists have long understood that defense, law, and order were public goods that could not be marketed to individuals, and that taxation was necessary. They have not, however, taken account of the fact that private as well as governmental organizations produce public goods.The services the labor union provides for the worker it represents, or the benefits a lobby obtains for the group it represents, are public goods: they automatically go to every individual in the group, whether or not he helped bear the costs. It follows that, just as governments require compulsory taxation, many large private organizations require special (and sometimes coercive) devices to obtain the resources they need. This is not true of smaller organizations for, as this book shows, small and large organizations support themselves in entirely different ways. The theory indicates that, though small groups can act to further their interest much more easily than large ones, they will tend to devote too few resources to the satisfaction of their common interests, and that there is a surprising tendency for the "lesser" members of the small group to exploit the "greater" members by making them bear a disproportionate share of the burden of any group action.All of the theory in the book is in Chapter 1; the remaining chapters contain empirical and historical evidence of the theory's relevance to labor unions, pressure groups, corporations, and Marxian class action.

    A century ago, the telegraph and the mechanical tabulator were used to tame cities of millions. Today, cellular networks and cloud computing tie together the complex choreography of mega-regions of tens of millions of people.In response, cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity. In Chicago, GPS sensors on snow plows feed a real-time "plow tracker" map that everyone can access. In Zaragoza, Spain, a "citizen card" can get you on the free city-wide Wi-Fi network, unlock a bike share, check a book out of the library, and pay for your bus ride home. In New York, a guerrilla group of citizen-scientists installed sensors in local sewers to alert you when stormwater runoff overwhelms the system, dumping waste into local waterways.As technology barons, entrepreneurs, mayors, and an emerging vanguard of civic hackers are trying to shape this new frontier, Smart Cities considers the motivations, aspirations, and shortcomings of them all while offering a new civics to guide our efforts as we build the future together, one click at a time.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Using a rich array of historical examples and data, Shiller argues that studying popular stories that affect individual and collective economic behavior--what he calls narrative economics--has the potential to vastly improve our ability to predict, prepare for, and lessen the damage of financial crises, recessions, depressions, and other major economic events.Spread through the public in the form of popular stories, ideas can go viral and move markets--whether it's the belief that tech stocks can only go up, that housing prices never fall, or that some firms are too big to fail. Whether true or false, stories like these--transmitted by word of mouth, by the news media, and increasingly by social media--drive the economy by driving our decisions about how and where to invest, how much to spend and save, and more. But despite the obvious importance of such stories, most economists have paid little attention to them. Narrative Economics sets out to change that by laying the foundation for a way of understanding how stories help propel economic events that have had led to war, mass unemployment, and increased inequality.The stories people tell--about economic confidence or panic, housing booms, the American dream, or Bitcoin--affect economic outcomes. Narrative Economics explains how we can begin to take these stories seriously. It may be Robert Shiller's most important book to date.

    Not eating, but gorging on information ceaselessly spewed from the screens and speakers we hold dear. Just as we have grown morbidly obese on sugar, fat, and flour—so, too, have we become gluttons for texts, instant messages, emails, RSS feeds, downloads, videos, status updates, and tweets.We're all battling a storm of distractions, buffeted with notifications and tempted by tasty tidbits of information. And just as too much junk food can lead to obesity, too much junk information can lead to cluelessness. The Information Diet shows you how to thrive in this information glut—what to look for, what to avoid, and how to be selective. In the process, author Clay Johnson explains the role information has played throughout history, and why following his prescribed diet is essential for everyone who strives to be smart, productive, and sane.In The Information Diet, you will:Discover why eminent scholars are worried about our state of attention and general intelligenceExamine how today’s media—Big Info—give us exactly what we want: content that confirms our beliefsLearn to take steps to develop data literacy, attention fitness, and a healthy sense of humorBecome engaged in the economics of information by learning how to reward good information providersJust like a normal, healthy food diet, The Information Diet is not about consuming less—it’s about finding a healthy balance that works for you

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    One of the greatest partnerships in the history of science, Kahneman and Tversky’s extraordinary friendship incited a revolution in Big Data studies, advanced evidence-based medicine, led to a new approach to government regulation, and made much of Michael Lewis’s own work possible. In The Undoing Project, Lewis shows how their Nobel Prize–winning theory of the mind altered our perception of reality.

    But concern over what Louis Brandeis called the "curse of bigness" can no longer remain the province of specialist lawyers and economists, for it has spilled over into policy and politics, even threatening democracy itself. History suggests that tolerance of inequality and failing to control excessive corporate power may prompt the rise of populism, nationalism, extremist politicians, and fascist regimes. In short, as Wu warns, we are in grave danger of repeating the signature errors of the twentieth century.In The Curse of Bigness, Columbia professor Tim Wu tells of how figures like Brandeis and Theodore Roosevelt first confronted the democratic threats posed by the great trusts of the Gilded Age--but the lessons of the Progressive Era were forgotten in the last 40 years. He calls for recovering the lost tenets of the trustbusting age as part of a broader revival of American progressive ideas as we confront the fallout of persistent and extreme economic inequality.

    Whether they bind computers, economies, or terrorist organizations, networks are everywhere in the real world, yet only recently have scientists attempted to explain their mysterious workings.From epidemics of disease to outbreaks of market madness, from people searching for information to firms surviving crisis and change, from the structure of personal relationships to the technological and social choices of entire societies, Watts weaves together a network of discoveries across an array of disciplines to tell the story of an explosive new field of knowledge, the people who are building it, and his own peculiar path in forging this new science.

    In chapters dedicated to food, religion, consumerism, education, and the environment, Dreher shows how to live in a way that preserves what Kirk called “the permanent things,” among them faith, family, community, and a legacy of ancient truths. This, says Dreher, is the kind of roots conservatism that more and more Americans want to practice. And in Crunchy Cons, he lets them know how far they are from being alone.

    Conscious Robots challenges us to face up to the reality of being human: just because we're conscious doesn't mean we're not robots. So what would we do with free will if we really had it? And how does “being a robot” explain why life, as Buddha suggested, is “inherently unsatisfactory”, despite our luxurious homes, successful careers and loving families? Conscious Robots shows why we’re so convinced that we’re in charge, when we’re really just carrying out our evolved pre-programmed instructions. And reveals the inevitable future, how one day humans will take control of their conscious minds, get happy and stay happy. But it will come too late for you, Dear Reader… so no point buying the book. Unless you’re extremely rich, of course. Then you can pay for the neurochemical research yourself. “Easy to understand and persuasive” “Reminded me of Douglas Adams and Terry Pratchett”

    When everything is at stake, all must be confronted and superseded. At this moment, there is the distinct possibility of doing just that.”

    Turchin argues that the key to the formation of an empire is a society’s capacity for collective action. He demonstrates that high levels of cooperation are found where people have to band together to fight off a common enemy, and that this kind of cooperation led to the formation of the Roman and Russian empires, and the United States. But as empires grow, the rich get richer and the poor get poorer, conflict replaces cooperation, and dissolution inevitably follows. Eloquently argued and rich with historical examples, War and Peace and War offers a bold new theory about the course of world history.

    Its starting point is the annual Turing Test, which pits artificial intelligence programs against people to determine if computers can “think.”Named for computer pioneer Alan Turing, the Tur­ing Test convenes a panel of judges who pose questions—ranging anywhere from celebrity gossip to moral conundrums—to hidden contestants in an attempt to discern which is human and which is a computer. The machine that most often fools the panel wins the Most Human Computer Award. But there is also a prize, bizarre and intriguing, for the Most Human Human.In 2008, the top AI program came short of passing the Turing Test by just one astonishing vote. In 2009, Brian Christian was chosen to participate, and he set out to make sure Homo sapiens would prevail.The author’s quest to be deemed more human than a com­puter opens a window onto our own nature. Interweaving modern phenomena like customer service “chatbots” and men using programmed dialogue to pick up women in bars with insights from fields as diverse as chess, psychiatry, and the law, Brian Christian examines the philosophical, bio­logical, and moral issues raised by the Turing Test.One central definition of human has been “a being that could reason.” If computers can reason, what does that mean for the special place we reserve for humanity?