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.
The Handbook of Research on Global Information Technology Management in the Digital Economy provides comprehensive coverage and definitions of the most important issues, concepts, trends and technologies in the field of the emerging sub-discipline of global information technology management, covering topics such as the technical platform for global IS applications, information systems projects spanning cultures, managing information technology in multidomestic/ international/global/transnational corporations, and global information technology systems and socioeconomic development in developing countries. With 25 authoratative contributions from 34 of the world's leading experts, this publication is a must-have for academic and research libraries.
While DoD makes use of large-scale data and mathematical analysis in intelligence, surveillance, reconnaissance, and elsewhereâ€"exploiting techniques such as complex network analysis, machine learning, streaming social media analysis, and anomaly detectionâ€"these skills and capabilities have not been applied as well to the personnel and readiness enterprise. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions offers and roadmap and implementation plan for the integration of data analysis in support of decisions within the purview of P&R.
Data Mining with Ontologies: Implementations, Findings and Frameworks provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a benchmark reference for future efforts to enhance capabilities in ontology utilization and design, this Premier Reference Source will be an invaluable addition to libraries worldwide.
Social Implications of Data Mining and Information Privacy: Interdisciplinary Frameworks and Solutions serves as a critical source of information related to emerging issues and solutions in data mining and the influence of political and socioeconomic factors. An immense breakthrough, this essential reference provides concise coverage of emerging issues and technological solutions in data mining, and covers problems with applicable laws governing such issues.
In June 2017, Travis Kalanick, the hard-charging CEO of Uber, was ousted in a boardroom coup that capped a brutal year for the transportation giant. Uber had catapulted to the top of the tech world, yet for many came to symbolize everything wrong with Silicon Valley.
Award-winning New York Times technology correspondent Mike Isaac’s Super Pumped presents the dramatic rise and fall of Uber, set against an era of rapid upheaval in Silicon Valley. Backed by billions in venture capital dollars and led by a brash and ambitious founder, Uber promised to revolutionize the way we move people and goods through the world. A near instant “unicorn,” Uber seemed poised to take its place next to Amazon, Apple, and Google as a technology giant.
What followed would become a corporate cautionary tale about the perils of startup culture and a vivid example of how blind worship of startup founders can go wildly wrong. Isaac recounts Uber’s pitched battles with taxi unions and drivers, the company’s toxic internal culture, and the bare-knuckle tactics it devised to overcome obstacles in its quest for dominance. With billions of dollars at stake, Isaac shows how venture capitalists asserted their power and seized control of the startup as it fought its way toward its fateful IPO.
Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a page-turning story of ambition and deception, obscene wealth, and bad behavior that explores how blistering technological and financial innovation culminated in one of the most catastrophic twelve-month periods in American corporate history.
Representation in Scientific Practice, published by the MIT Press in 1990, helped coalesce a long-standing interest in scientific visualization among historians, philosophers, and sociologists of science and remains a touchstone for current investigations in science and technology studies. This volume revisits the topic, taking into account both the changing conceptual landscape of STS and the emergence of new imaging technologies in scientific practice. It offers cutting-edge research on a broad array of fields that study information as well as short reflections on the evolution of the field by leading scholars, including some of the contributors to the 1990 volume.
The essays consider the ways in which viewing experiences are crafted in the digital era; the embodied nature of work with digital technologies; the constitutive role of materials and technologies—from chalkboards to brain scans—in the production of new scientific knowledge; the metaphors and images mobilized by communities of practice; and the status and significance of scientific imagery in professional and popular culture.
Morana Alac, Michael Barany, Anne Beaulieu, Annamaria Carusi, Catelijne Coopmans, Lorraine Daston, Sarah de Rijcke, Joseph Dumit, Emma Frow, Yann Giraud, Aud Sissel Hoel, Martin Kemp, Bruno Latour, John Law, Michael Lynch, Donald MacKenzie, Cyrus Mody, Natasha Myers, Rachel Prentice, Arie Rip, Martin Ruivenkamp, Lucy Suchman, Janet Vertesi, Steve Woolgar