A Vast Machine
A Vast Machine

Author: Paul N. Edwards

Publisher: MIT Press

Published: 2010-03-12

Total Pages: 547

ISBN-13: 0262290715

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The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future.

A Vast Machine
A Vast Machine

Author: Paul N. Edwards

Publisher: MIT Press

Published: 2013-02-08

Total Pages: 547

ISBN-13: 0262518635

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The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future.

Inventing Atmospheric Science
Inventing Atmospheric Science

Author: James Rodger Fleming

Publisher: MIT Press

Published: 2016-02-05

Total Pages: 307

ISBN-13: 0262033941

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"This big picture history of atmospheric research examines the first six decades of the twentieth century, from the dawn of applied fluid dynamics to the emergence, by 1960, of the interdisciplinary atmospheric sciences. Using newly available archival sources, it documents the work of three interconnected generations of scientists: Vilhelm Bjerknes, Carl-Gustaf Rossby, and Harry Wexler, whose aspirations were fueled by new theoretical insights, pressing societal needs, and expanded technological capabilities. Radio, radar, aviation, nuclear tracers, digital computing, sounding rockets, and satellites provided new ways to measure and study the global atmosphere -- a huge and dauntingly complex system. Bjerknes brought us a fundamental circulation theorem and founded the Bergen school of weather forecasting; Rossby established the graduate schools of meteorology at M.I.T., Chicago, and Stockholm, which focused on upper-air dynamics and, after 1947, on atmospheric environmental issues; and Wexler brought all the new technologies into the U.S. Weather Bureau and, with his colleague Jule Charney, prepared the foundations for the emergence of the interdisciplinary atmospheric sciences. This history weaves together cold war studies, military history, the rise of government research and development, and aviation and aeronautics with a nascent global awareness. It is a fascinating history of something we all experience--the weather --told through compelling historical characters"--Provided by publisher.

Behind the Curve
Behind the Curve

Author: Joshua P. Howe

Publisher: University of Washington Press

Published: 2014-04-01

Total Pages: 324

ISBN-13: 0295805099

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In 1958, Charles David Keeling began measuring the concentration of carbon dioxide in the earth's atmosphere at the Mauna Loa Observatory in Hawaii. His project kicked off a half century of research that has expanded our knowledge of climate change. Despite more than fifty years of research, however, our global society has yet to find real solutions to the problem of global warming. Why? In Behind the Curve, Joshua Howe attempts to answer this question. He explores the history of global warming from its roots as a scientific curiosity to its place at the center of international environmental politics. The book follows the story of rising CO2—illustrated by the now famous Keeling Curve—through a number of historical contexts, highlighting the relationships among scientists, environmentalists, and politicians as those relationships changed over time. The nature of the problem itself, Howe explains, has privileged scientists as the primary spokespeople for the global climate. But while the “science first” forms of advocacy they developed to fight global warming produced more and better science, the primacy of science in global warming politics has failed to produce meaningful results. In fact, an often exclusive focus on science has left advocates for change vulnerable to political opposition and has limited much of the discussion to debates about the science itself. As a result, while we know much more about global warming than we did fifty years ago, CO2 continues to rise. In 1958, Keeling first measured CO2 at around 315 parts per million; by 2013, global CO2 had soared to 400 ppm. The problem is not getting better - it's getting worse. Behind the Curve offers a critical and levelheaded look at how we got here.

Machine Learners
Machine Learners

Author: Adrian Mackenzie

Publisher: MIT Press

Published: 2017-11-16

Total Pages: 269

ISBN-13: 0262036827

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If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

digitalSTS
digitalSTS

Author: Janet Vertesi

Publisher: Princeton University Press

Published: 2019-05-07

Total Pages: 568

ISBN-13: 0691187088

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Scholars across the humanities, social sciences, and information sciences are grappling with how best to study virtual environments, use computational tools in their research, and engage audiences with their results. Classic work in science and technology studies (STS) has played a central role in how these fields analyze digital technologies, but many of its key examples do not speak to today’s computational realities. This groundbreaking collection brings together a world-class group of contributors to refresh the canon for contemporary digital scholarship. In twenty-five pioneering and incisive essays, this unique digital field guide offers innovative new approaches to digital scholarship, the design of digital tools and objects, and the deployment of critically grounded technologies for analysis and discovery. Contributors cover a broad range of topics, including software development, hackathons, digitized objects, diversity in the tech sector, and distributed scientific collaborations. They discuss methodological considerations of social networks and data analysis, design projects that can translate STS concepts into durable scientific work, and much more. Featuring a concise introduction by Janet Vertesi and David Ribes and accompanied by an interactive microsite, this book provides new perspectives on digital scholarship that will shape the agenda for tomorrow’s generation of STS researchers and practitioners.

Artificial Unintelligence
Artificial Unintelligence

Author: Meredith Broussard

Publisher: MIT Press

Published: 2019-01-29

Total Pages: 247

ISBN-13: 026253701X

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A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

The Genesis Machine
The Genesis Machine

Author: Amy Webb

Publisher: PublicAffairs

Published: 2022-02-15

Total Pages: 368

ISBN-13: 1541797930

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Named one of The New Yorker's BEST BOOKS OF 2022 SO FAR The next frontier in technology is inside our own bodies. Synthetic biology will revolutionize how we define family, how we identify disease and treat aging, where we make our homes, and how we nourish ourselves. This fast-growing field—which uses computers to modify or rewrite genetic code—has created revolutionary, groundbreaking solutions such as the mRNA COVID vaccines, IVF, and lab-grown hamburger that tastes like the real thing. It gives us options to deal with existential threats: climate change, food insecurity, and access to fuel. But there are significant risks. Who should decide how to engineer living organisms? Whether engineered organisms should be planted, farmed, and released into the wild? Should there be limits to human enhancements? What cyber-biological risks are looming? Could a future biological war, using engineered organisms, cause a mass extinction event? Amy Webb and Andrew Hessel’s riveting examination of synthetic biology and the bioeconomy provide the background for thinking through the upcoming risks and moral dilemmas posed by redesigning life, as well as the vast opportunities waiting for us on the horizon.

The Weather Machine
The Weather Machine

Author: Andrew Blum

Publisher: HarperCollins

Published: 2019-06-25

Total Pages: 256

ISBN-13: 1443438618

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From the acclaimed author of Tubes, a lively and surprising tour through the global network that predicts our weather, the people behind it, and what it reveals about our climate and our planet The weather is the foundation of our daily lives. It’s a staple of small talk, the app on our smartphones, and often the first thing we check each morning. Yet, behind all these humble interactions is the largest and most elaborate piece of infrastructure human beings have ever constructed—a triumph of both science and global cooperation. But what is the weather machine, and who created it? In The Weather Machine, Andrew Blum takes readers on a fascinating journey through the people, places, and tools of forecasting, exploring how the weather went from something we simply observed to something we could actually predict. As he travels across the planet, he visits some of the oldest and most important weather stations and watches the newest satellites blast off. He explores the dogged efforts of forecasters to create a supercomputer model of the atmosphere, while trying to grasp the ongoing relevance of TV weather forecasters. In the increasingly unpredictable world of climate change, correctly understanding the weather is vital. Written with the sharp wit and infectious curiosity Andrew Blum is known for, The Weather Machine pulls back the curtain on a universal part of our everyday lives, illuminating our changing relationships with technology, the planet, and our global community.

To Be a Machine
To Be a Machine

Author: Mark O'Connell

Publisher: Anchor

Published: 2017-02-28

Total Pages: 221

ISBN-13: 0385540426

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“This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review (Editor's Choice) Transhumanism is a movement pushing the limits of our bodies—our capabilities, intelligence, and lifespans—in the hopes that, through technology, we can become something better than ourselves. It has found support among Silicon Valley billionaires and some of the world’s biggest businesses. In To Be a Machine, journalist Mark O'Connell explores the staggering possibilities and moral quandaries that present themselves when you of think of your body as a device. He visits the world's foremost cryonics facility to witness how some have chosen to forestall death. He discovers an underground collective of biohackers, implanting electronics under their skin to enhance their senses. He meets a team of scientists urgently investigating how to protect mankind from artificial superintelligence. Where is our obsession with technology leading us? What does the rise of AI mean not just for our offices and homes, but for our humanity? Could the technologies we create to help us eventually bring us to harm? Addressing these questions, O'Connell presents a profound, provocative, often laugh-out-loud-funny look at an influential movement. In investigating what it means to be a machine, he offers a surprising meditation on what it means to be human.