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Digitizing Diagnosis
"This is the first book-length account of early efforts to computerize medical diagnosis. It explores how these efforts produced and interacted with certain professional tensions, disease constructions, personal identities, cultural ideals, economic interests, and material practices. The book offers a historical account that raises pressing questions, problems, and challenges that must be addressed as we work to harness artificial intelligence for the benefit of the medical profession and its patients"--
Abstractions and Embodiments
"This anthology of original historical essays examines how social relations are enacted in and through computing using the twin frameworks of abstraction and embodiment. The book highlights a wide range of understudied contexts and experiences, such as computing and disability, working mothers as technical innovators, race and community formation, and gaming behind the Iron Curtain"--
Explanation and Proof in Mathematics
In the four decades since Imre Lakatos declared mathematics a "quasi-empirical science," increasing attention has been paid to the process of proof and argumentation in the field -- a development paralleled by the rise of computer technology and the mounting interest in the logical underpinnings of mathematics. Explanantion and Proof in Mathematics assembles perspectives from mathematics education and from the philosophy and history of mathematics to strengthen mutual awareness and share recent findings and advances in their interrelated fields. With examples ranging from the geometrists of the 17th century and ancient Chinese algorithms to cognitive psychology and current educational practi...
The Dangerous Art of Text Mining
The Dangerous Art of Text Mining celebrates the bold new research now possible because of text mining: the art of counting words over time. However, this book also presents a warning: without help from the humanities, data science can distort the past and lead to perilous errors. The book opens with a rogue's gallery of errors, then tours the ground-breaking analyses that have resulted from collaborations between humanists and data scientists. Jo Guldi explores how text mining can give a glimpse of the changing history of the past - for example, how quickly Americans forgot the history of slavery. Textual data can even prove who was responsible in Congress for silencing environmentalism over recent decades. The book ends with an impassioned vision of what text mining in defence of democracy would look like, and why humanists need to be involved.
How Data Happened: A History from the Age of Reason to the Age of Algorithms
“Fascinating.” —Jill Lepore, The New Yorker A sweeping history of data and its technical, political, and ethical impact on our world. From facial recognition—capable of checking people into flights or identifying undocumented residents—to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn’t just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. Expanding on the popular course they created at Columbia University, C...
Do I Know You?
"This work considers the spectrum of face recognition from face blindness to super-recognizers and the influence of face evaluation on race, gender, class and ability judgments"--
A Companion to the History of American Science
A Companion to the History of American Science offers a collection of essays that give an authoritative overview of the most recent scholarship on the history of American science. Covers topics including astronomy, agriculture, chemistry, eugenics, Big Science, military technology, and more Features contributions by the most accomplished scholars in the field of science history Covers pivotal events in U.S. history that shaped the development of science and science policy such as WWII, the Cold War, and the Women’s Rights movement
The Apple II Age
An engrossing origin story for the personal computer—showing how the Apple II’s software helped a machine transcend from hobbyists’ plaything to essential home appliance. Skip the iPhone, the iPod, and the Macintosh. If you want to understand how Apple Inc. became an industry behemoth, look no further than the 1977 Apple II. Designed by the brilliant engineer Steve Wozniak and hustled into the marketplace by his Apple cofounder Steve Jobs, the Apple II became one of the most prominent personal computers of this dawning industry. The Apple II was a versatile piece of hardware, but its most compelling story isn’t found in the feat of its engineering, the personalities of Apple’s foun...
Code Work
How Mexican and Latinx hackers apply concepts from coding to their lived experiences In Code Work, Héctor Beltrán examines Mexican and Latinx coders’ personal strategies of self-making as they navigate a transnational economy of tech work. Beltrán shows how these hackers apply concepts from the code worlds to their lived experiences, deploying batches, loose coupling, iterative processing (looping), hacking, prototyping, and full-stack development in their daily social interactions—at home, in the workplace, on the dating scene, and in their understanding of the economy, culture, and geopolitics. Merging ethnographic analysis with systems thinking, he draws on his eight years of resea...
Osiris, Volume 38
Perceptively explores the shifting intersections between algorithmic systems and human practices in the modern era. How have algorithmic systems and human practices developed in tandem since 1800? This volume of Osiris deftly addresses the question, dispelling along the way the traditional notion of algorithmic “code” and human “craft” as natural opposites. Instead, algorithms and humans have always acted in concert, depending on each other to advance new knowledge and produce social consequences. By shining light on alternative computational imaginaries, Beyond Craft and Code opens fresh space in which to understand algorithmic diversity, its governance, and even its conservation. T...
