Showing results for "Data Politics" in Social Sciences

In Data and Goliath, Schneier reveals the full extent of surveillance, censorship, and propaganda in society today, examining the risks of cybercrime, cyberterrorism, and cyberwar. He shares technological, legal, and social solutions that can help shape a more equal, private, and secure world. This is an audiobook to which everyone with an Internet connection - or bank account or smart device or car, for that matter - needs to listen.

"How the Labor Dept. Keeps Its Economic Data Politics-Free" is from the October 03, 2016 US section of The New York Times. It was written by Patricia Cohen and narrated by Keith Sellon-Wright.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

Customer Data and Privacy: The Insights You Need from Harvard Business Review will help you understand the tangled interdependencies and complexities and develop strategies that allow your company to be good stewards, collecting, using, and storing customer data responsibly.

The book wants to provide an analytical review of the implications of data in many different contexts. As a matter of fact, data are correlated to the legal, economic and personal contexts. Furthermore, the report presents the different perspectives concerning the usage of data and their impacts on the agents involved: data subject, data collector, and data processor. This in-depth analysis shows the importance of coordination among consumers, firms and policy makers.

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments - also known as randomized controlled trials - designed to test the impact of different online experiences. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world.

In this bracing book, Michael Chertoff makes clear that our laws and policies surrounding the protection of personal information, written for an earlier time, need to be completely overhauled in the Internet era. In offering his compelling call for action, Chertoff argues that what is at stake is not so much the simple loss of privacy, which is almost impossible to protect, but of individual autonomy - the ability to make personal choices free of manipulation or coercion.

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.

Long-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure. Truckers have long valued the independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy. Yet these workers increasingly find themselves under many watchful eyes. Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control.

Every time we Google something, Facebook someone, or just carry a phone, we create data. Yet, we do not benefit from this wealth of information as much as we should. Andreas Weigend - an advisor to Alibaba, BMW, Hyatt, MasterCard, and Lufthansa, among others - wants to change that. In Data for the People, he proposes six basic data rights that we all need to make better decisions. Big data is here to stay. The time has come to shift the balance of power back to the individual.

"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.

We live in an interconnected world, where security problems like terrorism are spilling across borders, and globalized data networks and e-commerce platforms are reshaping the world economy. This means that states' jurisdictions and rule systems clash. How have they negotiated their differences over freedom and security? Of Privacy and Power investigates how the European Union and United States, the two major regulatory systems in world politics, have regulated privacy and security, and how their agreements and disputes have reshaped the transatlantic relationship.

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.

I segreti più profondi della Cia e dell'Nsa sono stati hackerati e resi pubblici, più di una volta. Ma stai certo che da nessuna parte, nemmeno nel dark web, troverai una copia dell'algoritmo di ricerca di Google o dell'algoritmo del feed di Facebook. Oggi questi algoritmi determinano l'andamento della vita umana sul nostro pianeta. Jaron Lanier, informatico della Silicon Valley, pioniere della realtà virtuale, non ha nessun account social. In "Dieci ragioni per cancellare subito i tuoi account social" spiega perché non dovresti averne nemmeno tu.

When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?

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.

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.

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.

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.

While millions of consumers carry on unaware, powerful companies are racing to gain more knowledge and data than anyone, including any government, has ever had. The goal is to understand consumer behavior and desires, from mundane matters to our most private and intimate affairs. This massive trove of data represents an immense prize for these companies. In economic terms it is one of the most valuable assets on the planet.