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Before Palm Pilots and iPods, PCs and laptops, the term \"computer\" referred to the people who did scientific calculations by hand. These workers were neither calculating geniuses nor idiot savants but knowledgeable people who, in other circumstances, might have become scientists in their own right. When Computers Were Human represents the first in-depth account of this little-known, 200-year epoch in the history of science and technology. Beginning with the story of his own grandmother, who was trained as a human computer, David Alan Grier provides a poignant introduction to the wider world of women and men who did the hard computational labor of science. His grandmother's casual remark, \"I wish I'd used my calculus,\" hinted at a career deferred and an education forgotten, a secret life unappreciated; like many highly educated women of her generation, she studied to become a human computer because nothing else would offer her a place in the scientific world. The book begins with the return of Halley's comet in 1758 and the effort of three French astronomers to compute its orbit. It ends four cycles later, with a UNIVAC electronic computer projecting the 1986 orbit. In between, Grier tells us about the surveyors of the French Revolution, describes the calculating machines of Charles Babbage, and guides the reader through the Great Depression to marvel at the giant computing room of the Works Progress Administration. When Computers Were Human is the sad but lyrical story of workers who gladly did the hard labor of research calculation in the hope that they might be part of the scientific community. In the end, they were rewarded by a new electronic machine that took the place and the name of those who were, once, the computers.

\"In this book, Brian Lennon demonstrates the power of a philological approach to the history of programming languages and their usage cultures. In chapters focused on specific programming languages such as SNOBOL and JavaScript, as well as on code comments, metasyntactic variables, the very early history of programming, and the concept of DevOps, Lennon emphasizes the histories of programming languages in their individual specificities over their abstract formal or structural characteristics, viewing them as carriers and sometimes shapers of specific cultural histories. The book's philological approach to programming languages presents a natural, sensible, and rigorous way for researchers trained in the humanities to perform research on computing in a way that draws on their own expertise. Combining programming knowledge with a humanistic analysis of the social and historical dimensions of computing, Lennon offers researchers in literar

Video gaming: it's a boy's world, right? That's what the industry wants us to think. Why and how we came to comply are what Carly A. Kocurek investigates in this provocative consideration of how an industry's craving for respectability hooked up with cultural narratives about technology, masculinity, and youth at the video arcade. From the dawn of the golden age of video games with the launch of Atari'sPongin 1972, through the industry-wide crash of 1983, to the recent nostalgia-bathed revival of the arcade,Coin-Operated Americansexplores the development and implications of the \"video gamer\" as a cultural identity. This cultural-historical journey takes us to the Twin Galaxies arcade in Ottumwa, Iowa, for a close look at the origins of competitive gaming. It immerses us in video gaming's first moral panic, generated by Exidy'sDeath Race(1976), an unlicensed adaptation of the filmDeath Race 2000. And it ventures into the realm of video game films such asTronandWarGames, in which gamers become brilliant, boyish heroes. Whether conducting a phenomenological tour of a classic arcade or evaluating attempts, then and now, to regulate or eradicate arcades and coin-op video games, Kocurek does more than document the rise and fall of a now-booming industry. Drawing on newspapers, interviews, oral history, films, and television, she examines the factors and incidents that contributed to the widespread view of video gaming as an enclave for young men and boys. A case study of this once emergent and now revived medium became the presumed enclave of boys and young men,Coin-Operated Americansis history that holds valuable lessons for contemporary culture as we struggle to address pervasive sexism in the domain of video games-and in the digital working world beyond.

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods.

Explores pioneering works of digital poetry and demonstrates how technological constraints that would seemingly limit the aesthetics of poetry have instead extended and enriched poetic discourse For the last five decades, poets have had a vibrant relationship with computers and digital technology. This book is a documentary study and analytic history of digital poetry that highlights its major practitioners and the ways that they have used technology to foster a new aesthetic. Focusing primarily on programs and experiments produced before the emergence of the World Wide Web in the mid-1990s, C. T. Funkhouser analyzes numerous landmark works of digital poetry to illustrate that the foundations of today’s most advanced works are rooted in the rudimentary generative, visual, and interlinked productions of the genre’s prehistoric period. Since 1959, computers have been used to produce several types of poetic output, including randomly generated writings, graphical works (static, animated, and video formats), and hypertext and hypermedia. Funkhouser demonstrates how hardware, programming, and software have been used to compose a range of new digital poetic forms. Several dozen historical examples, drawn from all of the predominant approaches to digital poetry, are discussed, highlighting the transformational and multi-faceted aspects of poetic composition now available to authors. This account includes many works, in English and other languages, which have never before been presented in an English-language publication. In exploring pioneering works of digital poetry, Funkhouser demonstrates how technological constraints that would seemingly limit the aesthetics of poetry have instead extended and enriched poetic discourse. As a history of early digital poetry and a record of an era that has passed, this study aspires both to influence poets working today and to highlight what the future of digital poetry may hold.

Birthing the Computer: From Relays to Vacuum Tubes is the first in a multi-volume series on historical computing machines. This series will span the development of computer systems from the Zuse machines of the early 1930s to about 1995 when microprocessors began to be commoditized. Each volume will focus on a range of technologies, or a class of machines or a particular vendor, and will describe the hardware of the machines and its peripherals, the operating system and system software, and its influence upon programming languages. This volume begins with the Zuse machines which were constructed from relays, but contained the basic elements of a computer system, namely input, computing engine, and output. Early machines from Atanasoff and Berry, Aiken, Stibitz, and IBM are described. The transition from relays to vacuum tubes increased speed and performance significantly, and led to the first true computers in ENIAC, EDSAC, and EDVAC which used paper tape and Williams tubes for I/O and storage. These machines were built by universities. Several early machines were purpose built such as Colossus and BINAC, and created with government support and industrial know-how. By the mid-to-late '50s, computing machines were being built by universities (the SSEM, Whirlwind, and IAS machines), governments (the NBS SEAC and SWAC, and several other machines), and industry (the UNIVAC series and the English Electric DEUCE). Most of these machines were constructed using the von Neumann architecture, and represent an evolution of thinking in how computing machines were to operate along with some innovative ideas in software and programming languages. By the end of the 1950s, the design, development, programming and use of computing machines were in full ferment as many new ideas were proposed, many different machines were designed and some were constructed. Computing machines became a commercial enterprise. Governments receded from building machines to levying requirements and funding construction, while universities continued to explore new architectures, new operating systems, and new programming languages.

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.

From the telegraph to the touchscreen, how the development of binary switching transformed everyday life and changed the shape of human agency The Switch traces the sudden rise of a technology that has transformed everyday life for billions of people: the binary switch. By chronicling the rapid growth of binary switching since the mid-nineteenth century, Jason Puskar contends that there is no human activity as common today as pushing a button or flipping a switch-the deceptively simple act of turning something on or off. More than a technical history, The Switch offers a cultural and political analysis of how reducing so much human action to binary alternatives has profoundly reshaped modern society. Analyzing this history, Puskar charts the rapid shift from analog to digital across a range of devices-keyboards, cameras, guns, light switches, computers, game controls, even the \"nuclear button\"-to understand how nineteenth-century techniques continue to influence today's pervasive digital technologies. In contexts that include musical performance, finger counting, machine writing, voting methods, and immersive play, Puskar shows how the switch to switching led to radically new forms of action and thought. The innovative analysis in The Switch makes clear that binary inputs have altered human agency by making choice instantaneous, effort minimal, and effects more far-reaching than ever. In the process, it concludes, switching also fosters forms of individualism that, though empowering for many, also preserve a legacy of inequality and even domination.

Since the mid 1960s, researchers in computer science have famously referred to chess as the 'drosophila' of artificial intelligence (AI). What they seem to mean by this is that chess, like the common fruit fly, is an accessible, familiar, and relatively simple experimental technology that nonetheless can be used productively to produce valid knowledge about other, more complex systems. But for historians of science and technology, the analogy between chess and drosophila assumes a larger significance. As Robert Kohler has ably described, the decision to adopt drosophila as the organism of choice for genetics research had far-reaching implications for the development of 20th century biology. In a similar manner, the decision to focus on chess as the measure of both human and computer intelligence had important and unintended consequences for AI research. This paper explores the emergence of chess as an experimental technology, its significance in the developing research practices of the AI community, and the unique ways in which the decision to focus on chess shaped the program of AI research in the decade of the 1970s. More broadly, it attempts to open up the virtual black box of computer software — and of computer games in particular — to the scrutiny of historical and sociological analysis.

The rise of the Indian information technology industry is a remarkable economic success story. Software and services exports from India amounted to less than $100 million in 1990, and today come close to $100 billion . But, as Dinesh Sharma explains in The Outsourcer , Indian IT's success has a long prehistory; it did not begin with software support, or with American firms' eager recruitment of cheap and plentiful programming labor, or with India's economic liberalization of the 1990s. The foundations of India's IT revolution were laid long ago, even before the country's independence from British rule in 1947, as leading Indian scientists established research institutes that became centers for the development of computer science and technology. The \"miracle\" of Indian IT is actually a story about the long work of converting skills and knowledge into capital and wealth. With The Outsourcer , Sharma offers the first comprehensive history of the forces that drove India's IT success. Sharma describes India's early development of computer technology, part of the country's efforts to achieve national self-sufficiency, and shows that excessive state control stifled IT industry growth before economic policy changed in 1991. He traces the rise and fall (and return) of IBM in India and the emergence of pioneering indigenous hardware and software firms. He describes the satellite communication links and state-sponsored, tax-free technology parks that made software-related outsourcing by foreign firms viable, and the tsunami of outsourcing operations at the beginning of the new millennium. It is the convergence of many factors, from the tradition of technical education to the rise of entrepreneurship to advances in communication technology, that have made the spectacular growth of India's IT industry possible.