Ergebnis für "Big Data" in Soziologie

A New York Times Bestseller An audacious, irreverent investigation of human behavior—and a first look at a revolution in the making Our personal data has been used to spy on us, hire and fire us, and sell us stuff we don’t need. In Dataclysm, Christian Rudder uses it to show us who we...

From one of the world’s leading data scientists, a landmark tour ofthe new science of idea flow, offering revolutionary insights into the mysteries of collective intelligence and social influence If the Big Data revolution has a presiding genius, it is MIT’s Alex “Sandy” Pentland. Over...

Vivimos en la edad del algoritmo. Cada vez más, las decisiones que afectan nuestras vidas no están hechas por humanos, sino por modelos matemáticos. En teoría, esto debería conducir a una mayor equidad: todos son juzgados de acuerdo con las mismas reglas y se elimina el sesgo. Pero como revela Cathy O'Neil en Armas de destrucción matemática, ocurre exactamente lo contrario. Los modelos que se utilizan en la actualidad son opacos, no regulados e incontestables, incluso cuando están equivocados.

Why doesn’t the explosive growth of companies like Facebook and Uber deliver more prosperity for everyone? What is the systemic problem that sets the rich against the poor and the technologists against everybody else? When protesters shattered the windows of a bus carrying Google...

An unflinching look at the aspiring city-builders of our smart, mobile, connected future. We live in a world defined by urbanization and digital ubiquity, where mobile broadband connections outnumber fixed ones, machines dominate a new "internet of things," and more people live in cities than in the countryside.

Vivimos en la edad del algoritmo. Cada vez más, las decisiones que afectan nuestras vidas no están hechas por humanos, sino por modelos matemáticos. En teoría, esto debería conducir a una mayor equidad: todos son juzgados de acuerdo con las mismas reglas y se elimina el sesgo. Pero como revela Cathy O'Neil en Armas de destrucción matemática, ocurre exactamente lo contrario. Los modelos que se utilizan en la actualidad son opacos, no regulados e incontestables, incluso cuando están equivocados.

A penetrating indictment of how today’s largest tech companies are hijacking our data, our livelihoods, our social fabric, and our minds—from an acclaimed Financial Times columnist and CNN analyst WINNER OF THE PORCHLIGHT BUSINESS BOOK AWARD ONE OF THE BEST BOOKS OF THE YEAR: Foreign...

“If you buy just one health book this year, then get The Lucky Years” (Howard Stern). In this groundbreaking guide, bestselling author David Agus shows how we can take control of our health like never before in the brave new world of medicine. In his first bestseller, The End of Illness...

“No one in this world, so far as I know, has ever lost money by underestimating the intelligence of the great masses of the plain people.” —H. L. Mencken H. L. Mencken was wrong. In this endlessly fascinating book, New Yorker columnist James Surowiecki explores a deceptively simple...

In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how actuarial science transformed the nature of racism and helped usher racial disparities in wealth, incarceration, and housing from the 19th century into the 20th.