If Then
How One Data Company Invented the Future
Seiten
2021
John Murray Publishers Ltd (Verlag)
978-1-5293-8617-2 (ISBN)
John Murray Publishers Ltd (Verlag)
978-1-5293-8617-2 (ISBN)
A brilliant, revelatory account of the Cold War origins of the data-mad, algorithmic twenty-first century, from the acclaimed and internationally bestselling author.
Radio 4's Book of the Week
A Financial Times Book of the Year
Shortlisted for the 2020 Financial Times / McKinsey Business Book of the Year
Longlisted for the National Book Award
'The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might get if you crossed Mad Men with Theranos' David Runciman
The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine it has no past but the scientists of Simulmatics are the long-dead grandfathers of Mark Zuckerberg and Elon Musk.
Borrowing from psychological warfare, they used computers to predict and direct human behavior, deploying their "People Machine" from New York, Cambridge, and Saigon for clients that included John Kennedy's presidential campaign, the New York Times, Young & Rubicam, and, during the Vietnam War, the Department of Defence.
In If Then, distinguished Harvard historian and New Yorker staff writer, Jill Lepore, unearths from the archives the almost unbelievable story of this long-vanished corporation, and of the women hidden behind it. In the 1950s and 1960s, Lepore argues, Simulmatics invented the future by building the machine in which the world now finds itself trapped and tormented, algorithm by algorithm.
'A person can't help but feel inspired by the riveting intelligence and joyful curiosity of Jill Lepore. Knowing that there is a mind like hers in the world is a hope-inducing thing' George Saunders, Man Booker Prize-winning author of Lincoln in the Bardo
'An authoritative account of the origins of data science, a compelling political narrative of America in the Sixties, a poignant collective biography of a generation of flawed men' David Kynaston
'If Then is simultaneously gripping and absolutely terrifying' Amanda Foreman
Radio 4's Book of the Week
A Financial Times Book of the Year
Shortlisted for the 2020 Financial Times / McKinsey Business Book of the Year
Longlisted for the National Book Award
'The story of the original data science hucksters of the 1960s is hilarious, scathing and sobering - what you might get if you crossed Mad Men with Theranos' David Runciman
The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine it has no past but the scientists of Simulmatics are the long-dead grandfathers of Mark Zuckerberg and Elon Musk.
Borrowing from psychological warfare, they used computers to predict and direct human behavior, deploying their "People Machine" from New York, Cambridge, and Saigon for clients that included John Kennedy's presidential campaign, the New York Times, Young & Rubicam, and, during the Vietnam War, the Department of Defence.
In If Then, distinguished Harvard historian and New Yorker staff writer, Jill Lepore, unearths from the archives the almost unbelievable story of this long-vanished corporation, and of the women hidden behind it. In the 1950s and 1960s, Lepore argues, Simulmatics invented the future by building the machine in which the world now finds itself trapped and tormented, algorithm by algorithm.
'A person can't help but feel inspired by the riveting intelligence and joyful curiosity of Jill Lepore. Knowing that there is a mind like hers in the world is a hope-inducing thing' George Saunders, Man Booker Prize-winning author of Lincoln in the Bardo
'An authoritative account of the origins of data science, a compelling political narrative of America in the Sixties, a poignant collective biography of a generation of flawed men' David Kynaston
'If Then is simultaneously gripping and absolutely terrifying' Amanda Foreman
Jill Lepore is the David Woods Kemper '41 Professor of American History at Harvard University and a staff writer at The New Yorker. Her many books include The Secret History of Wonder Woman, a national bestseller, and Book of Ages, a finalist for the National Book Award. She lives in Cambridge, Massachusetts.
Erscheinungsdatum | 17.06.2021 |
---|---|
Sprache | englisch |
Maße | 128 x 196 mm |
Gewicht | 345 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Wirtschaft ► Betriebswirtschaft / Management ► Wirtschaftsinformatik | |
Wirtschaft ► Volkswirtschaftslehre | |
Schlagworte | 2020 Financial Times and McKinsey Business Book of the Year Award • AI • american corporate history • american historian • American History • Artificial Intelligence • Behind the Scenes • book about algorithms • business books • Business Ethics • businessmen • businesswomen • Cambridge Analytica • Cold War • computer prediction • computers in politics • Consumer Control • data harvesting • Data Mining • Department of Defense • dominic cummings • Governance • government think tanks • Harvard historian • Harvard history professor • harvesting data • hidden history of data science • history of data science • human behaviour • inventing the future • pioneering women in technology • predecessor to modern data mining • Presidential Campaigns • presidential elections • prize-winning author • Pulitzer Prize • Pulitzer prize for history • Radio 4's Book of the Week • Silicon Valley • Start the Week • Surveillance • surveillance capitalism • targeting voters • tech book 2020 • tech history • the social dilemma • understanding the world we live in • US tech history • Vietnam War • voter manipulation • weaponization of data • what came before Cambridge Analytica • Women in Business |
ISBN-10 | 1-5293-8617-9 / 1529386179 |
ISBN-13 | 978-1-5293-8617-2 / 9781529386172 |
Zustand | Neuware |
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