She retraces the history of the Atlantic slave trade from the fifteenth to the twentieth century and reckons with the blank slate of her own genealogy.There were no survivors of Hartman's lineage, nor far-flung relatives in Ghana of whom she had come in search. She traveled to Ghana in search of strangers. The most universal definition of the slave is a stranger--torn from kin and country. To lose your mother is to suffer the loss of kin, to forget your past, and to inhabit the world as a stranger. As both the offspring of slaves and an American in Africa, Hartman, too, was a stranger. Her reflections on history and memory unfold as an intimate encounter with places--a holding cell, a slave market, a walled town built to repel slave raiders--and with people: an Akan prince who granted the Portuguese permission to build the first permanent trading fort in West Africa; an adolescent boy who was kidnapped while playing; a fourteen-year-old girl who was murdered aboard a slave ship.Eloquent, thoughtful, and deeply affecting, Lose Your Mother is a powerful meditation on history, memory, and the Atlantic slave trade.

    This anthology of almost 70 readings--from contemporary scholarly literature, trade books, popular media, as well as contributed articles-- examines the many ways in which human sexuality is socially constructed and regulated behavior, and how it is studied by social scientists.

    Through mechanisms designed by Southern Democrats that specifically excluded maids and farm workers, the gap between blacks and whites actually widened despite postwar prosperity. In the words of noted historian Eric Foner, "Katznelson's incisive book should change the terms of debate about affirmative action, and about the last seventy years of American history."

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    But what if science itself can’t be relied on?Medicine, education, psychology, health, parenting – wherever it really matters, we look to science for advice. Science Fictions reveals the disturbing flaws that undermine our understanding of all of these fields and more.While the scientific method will always be our best and only way of knowing about the world, in reality the current system of funding and publishing science not only fails to safeguard against scientists’ inescapable biases and foibles, it actively encourages them. From widely accepted theories about ‘priming’ and ‘growth mindset’ to claims about genetics, sleep, microbiotics, as well as a host of drugs, allergies and therapies, we can trace the effects of unreliable, overhyped and even fraudulent papers in austerity economics, the anti-vaccination movement and dozens of bestselling books – and occasionally count the cost in human lives.Stuart Ritchie was among the first people to help expose these problems. In this vital investigation, he gathers together the evidence of their full and shocking extent – and how a new reform movement within science is fighting back. Often witty yet deadly serious, Science Fictions is at the vanguard of the insurgency, proposing a host of remedies to save and protect this most valuable of human endeavours from itself.

    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.

    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.

    In particular, was his victory the result of Russian meddling in our political system? Up until now, the answer to that has been equivocal at best given how difficult it is to prove. Trump has vociferously denied it, as has Vladimir Putin himself. Even the famous intelligence reports establishing that the Russians interfered hold back from saying whether the interference tipped the scales in the outcome.In Cyberwar, however, the eminent scholar Kathleen Hall Jamieson, who sifted through a vast amount of polling and voting data, is able to conclude with a reasonable degree of certainty that Russian help was crucial in elevating Trump to the Oval Office. Put simply, by changing the behavior of key players and altering the focus and content of mainstream news, Russian hackers reshaped the 2016 electoral dynamic. At the same time, Russian trolls used social media to target voting groups indispensable to a Trump victory or Clinton defeat. There are of course many arguments on offer that push against the idea that the Russians handed Trump his victory. Russia's goal was fomenting division, not electing Trump. Most of the Russian ads reportedly did not reference either the election or a candidate. Nor did they differ much from U.S.-based messaging that was already in play. Russian intervention did not surgically target Trump in key states. Finally, if WikiLeaks' releases of stolen email had truly affected the vote, Clinton's perceived honesty would have dropped in October. Jamieson, drawing from her four decades of research on the role of media in American elections, dispenses with these arguments through a forensic tracing of both Russian hackers' impact on media coverage as well as the ebbs and flows of Trump's polling support over the course of the campaign. To be sure, it is impossible to prove with absolute certainty that the Russians handed the election to Trump because there is too much that we don't know. That said, the lessons of a half century of research on the role of media framing in elections strongly suggests that many voters' opinions were altered by Russia's wide-ranging and coordinated campaign-including at least seventy eight thousand votes in three key states. Combining scholarly rigor with a bracing argument, Cyberwar shows that we can now be reasonably confident that Russian efforts helped put Trump in the White House.

    This definitive book was the first to address critical questions about women and mental health. Combining patient interviews with an analysis of women's roles in history, society, and myth Chesler concludes that there is a terrible double standard when it comes to women's psychology. In this new edition, she addresses head-on many of the most relevant issues to women and mental health today, including eating disorders, social acceptance of antidepressants, addictions, sexuality, postpartum depression, and more. Fully revised and updated, Women and Madness remains as important today as it was when first published in 1972.

    In his acclaimed book―based on his legendary Harvard course―Sandel offers a rare education in thinking through the complicated issues and controversies we face in public life today. It has emerged as a most lucid and engaging guide for those who yearn for a more robust and thoughtful public discourse. "In terms we can all understand," wrote Jonathan Rauch in The New York Times, Justice "confronts us with the concepts that lurk . . . beneath our conflicts."Affirmative action, same-sex marriage, physician-assisted suicide, abortion, national service, the moral limits of markets―Sandel relates the big questions of political philosophy to the most vexing issues of the day, and shows how a surer grasp of philosophy can help us make sense of politics, morality, and our own convictions as well.Justice is lively, thought-provoking, and wise―an essential new addition to the small shelf of books that speak convincingly to the hard questions of our civic life.

    Using a blend of ethnography and economic geography, Elizabeth C. Dunn shows how management technologies like niche marketing, accounting, audit, and standardization make up flexible capitalism's unique form of labor discipline. This new form of management constitutes some workers as self-auditing, self-regulating actors who are disembedded from a social context while defining others as too entwined in social relations and unable to self-manage.Privatizing Poland examines the effects privatization has on workers' self-concepts; how changes in personhood relate to economic and political transitions; and how globalization and foreign capital investment affect Eastern Europe's integration into the world economy. Dunn investigates these topics through a study of workers and changing management techniques at the Alima-Gerber factory in Rzesz�w, Poland, formerly a state-owned enterprise, which was privatized by the Gerber Products Company of Fremont, Michigan.Alima-Gerber instituted rigid quality control, job evaluation, and training methods, and developed sophisticated distribution techniques. The core principle underlying these goals and strategies, the author finds, is the belief that in order to produce goods for a capitalist market, workers for a capitalist enterprise must also be produced. Working side-by-side with Alima-Gerber employees, Dunn saw firsthand how the new techniques attempted to change not only the organization of production, but also the workers' identities. Her seamless, engaging narrative shows how the employees resisted, redefined, and negotiated work processes for themselves.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.