Ergebnis für "Big data" in Sozialwissenschaften

We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we can get a job or a loan, how much we pay for health insurance—are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined.

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.

Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population.  

Colonialism has not disappeared; it has taken a new form. In the new world order where data is the new oil, big Tech companies are grabbing our most basic natural resources - our data - exploiting our labour and connections, and repackaging our information to control our views, track our movements, record our conversations and discriminate against us. In this searing, cutting-edge guide, two leading global researchers and founders of the concept of data colonialism reveal how history can help us understand the emerging future - and how we can fight back.

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.

In this explosive memoir, a political consultant and technology whistleblower reveals the disturbing truth about the multi-billion-dollar data industry, revealing to the public how companies are getting richer using our personal information and exposing how Cambridge Analytica exploited weaknesses in privacy laws to help elect Donald Trump - and how this could easily happen again in the 2020 presidential election.

Almost everything we do generates data. Digital technology is now so pervasive that it's very hard to escape its influence, and with that growth comes fear. But whatever the news has told you about data and technology, think again. Data expert and tech insider Sam Gilbert shows that, actually, this data revolution could be the best thing that ever has happened to us. Good Data examines the incredible new ways this information explosion is already helping us and explains why the best is yet to come.

With far-reaching implications, this urgent treatise promises to revolutionize our understanding of what it means to be human in the digital age. We used to say "seeing is believing"; now googling is believing. With 24/7 access to nearly all of the world's information at our fingertips, we no longer trek to the library or the encyclopedia shelf in search of answers. We just open our browsers, type in a few keywords, and wait for the information to come to us.

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.

Melding the long-term history of technology with the latest headlines and findings of computer science and social science, The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of digital platforms can in fact lead to wasted efforts, missed opportunities, and above all an inability to break out of established patterns. Edward Tenner offers a smarter way of thinking about efficiency, revealing what we and our institutions can learn from the random and unexpected.

Information is power, and the time is now for digital liberation. Access Rules mounts a strong and hopeful argument for how informational tools at present in the hands of a few could instead become empowering machines for everyone. By forcing data-hoarding companies to open access to their data, we can reinvigorate both our economy and our society. Authors Viktor Mayer-Schönberger and Thomas Ramge contend that if we disrupt monopoly power and create a level playing field, digital innovations can emerge to benefit us all.

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.

In Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are, Seth Stephens-Davidowitz cleverly manipulates Big Data to explore the dark underside of American consciousness. Using powerful new methodologies, the author analyzes anonymous Google searches across a wide range of subjects about which people tend to be secretive.

The Japan News is an English-language daily newspaper published by The Yomiuri Shimbun, a leading Japanese newspaper with the largest circulation in the nation. Launched in 1955, the English paper was long known as The Daily Yomiuri but changed to its current name in April 2013 as part of a major renewal of the newspaper’s content. Drawing on The Yomiuri Shimbun’s broad news coverage network, The Japan News offers the latest and most reliable information about Japan to the world and is an excellent source of both domestic and foreign news. The Japan News also has a partnership with The...

En un día promedio de principios del siglo xxi, los seres humanos que buscan en Internet acumulan ocho billones de gigabytes de datos. Esta asombrosa cantidad de información puede decirnos mucho sobre quiénes somos, los miedos, deseos y comportamientos que nos impulsan y las decisiones conscientes e inconscientes que tomamos. De lo profundo a lo mundano, podemos obtener un asombroso conocimiento sobre la psique humana que hace menos de veinte años parecía insondable.

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.

The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.