front cover of Beautiful Data
Beautiful Data
A History of Vision and Reason since 1945
Orit Halpern
Duke University Press, 2015
Beautiful Data is both a history of big data and interactivity, and a sophisticated meditation on ideas about vision and cognition in the second half of the twentieth century. Contending that our forms of attention, observation, and truth are contingent and contested, Orit Halpern historicizes the ways that we are trained, and train ourselves, to observe and analyze the world. Tracing the postwar impact of cybernetics and the communication sciences on the social and human sciences, design, arts, and urban planning, she finds a radical shift in attitudes toward recording and displaying information. These changed attitudes produced what she calls communicative objectivity: new forms of observation, rationality, and economy based on the management and analysis of data. Halpern complicates assumptions about the value of data and visualization, arguing that changes in how we manage and train perception, and define reason and intelligence, are also transformations in governmentality. She also challenges the paradoxical belief that we are experiencing a crisis of attention caused by digital media, a crisis that can be resolved only through intensified media consumption.
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front cover of Big Data and Software Defined Networks
Big Data and Software Defined Networks
Javid Taheri
The Institution of Engineering and Technology, 2018
Big Data Analytics and Software Defined Networking (SDN) are helping to drive the management of data and usage of the extraordinary increase of computer processing power provided by Cloud Data Centres (CDCs). SDN helps CDCs run their services more efficiently by enabling managers to configure, manage, secure, and optimize the network resources very quickly. Big-Data Analytics in turn has entered CDCs to harvest the massive computing powers and deduct information that was never reachable by conventional methods.
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front cover of Big Data for Twenty-First-Century Economic Statistics
Big Data for Twenty-First-Century Economic Statistics
Edited by Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro
University of Chicago Press, 2022
The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. 

The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with administrative records generated in connection with tax administration. The increasing difficulty of obtaining survey and census responses threatens the viability of existing data collection approaches. The growing availability of new sources of Big Data—such as scanner data on purchases, credit card transaction records, payroll information, and prices of various goods scraped from the websites of online sellers—has changed the data landscape. These new sources of data hold the promise of allowing the statistical agencies to produce more accurate, more disaggregated, and more timely economic data to meet the needs of policymakers and other data users. This volume documents progress made toward that goal and the challenges to be overcome to realize the full potential of Big Data in the production of economic statistics. It describes the deployment of Big Data to solve both existing and novel challenges in economic measurement, and it will be of interest to statistical agency staff, academic researchers, and serious users of economic statistics.
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front cover of Big Data Recommender Systems
Big Data Recommender Systems
Algorithms, Architectures, Big Data, Security and Trust, Volume 1
Osman Khalid
The Institution of Engineering and Technology, 2019
First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
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Big Data Recommender Systems
Application Paradigms, Volume 2
Osman Khalid
The Institution of Engineering and Technology, 2019
First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
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front cover of Big Digital Humanities
Big Digital Humanities
Imagining a Meeting Place for the Humanities and the Digital
Patrik Svensson
University of Michigan Press, 2016
Big Digital Humanities has its origins in a series of seminal articles Patrik Svensson published in the Digital Humanities Quarterly between 2009 and 2012. As these articles were coming out, enthusiasm around Digital Humanities was acquiring a great deal of momentum and significant disagreement about what did or didn’t “count” as Digital Humanities work. Svensson’s articles provided a widely sought after omnibus of Digital Humanities history, practice, and theory. They were informative and knowledgeable and tended to foreground reportage and explanation rather than utopianism or territorial contentiousness. In revising his original work for book publication, Svensson has responded to both subsequent feedback and new developments.
 
Svensson’s own unique perspective and special stake in the Digital Humanities conversation comes from his role as director of the HUMlab at Umeå University. HUMlab is a unique collaborative space and Digital Humanities center, which officially opened its doors in 2000. According to its own official description, the HUMlab is an open, creative studio environment where “students, researchers, artists, entrepreneurs and international guests come together to engage in dialogue, experiment with technology, take on challenges and move scholarship forward.” It is this last element “moving scholarship forward” that Svensson argues is the real opportunity in what he terms the “big digital humanities,” or digital humanities as practiced in collaborative spaces like the HUMlab, and he is uniquely positioned to take an account of this evolving dimension of Digital Humanities practice.
 

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front cover of Collecting Experiments
Collecting Experiments
Making Big Data Biology
Bruno J. Strasser
University of Chicago Press, 2019
Databases have revolutionized nearly every aspect of our lives. Information of all sorts is being collected on a massive scale, from Google to Facebook and well beyond. But as the amount of information in databases explodes, we are forced to reassess our ideas about what knowledge is, how it is produced, to whom it belongs, and who can be credited for producing it.
 
Every scientist working today draws on databases to produce scientific knowledge. Databases have become more common than microscopes, voltmeters, and test tubes, and the increasing amount of data has led to major changes in research practices and profound reflections on the proper professional roles of data producers, collectors, curators, and analysts.
 
Collecting Experiments traces the development and use of data collections, especially in the experimental life sciences, from the early twentieth century to the present. It shows that the current revolution is best understood as the coming together of two older ways of knowing—collecting and experimenting, the museum and the laboratory. Ultimately, Bruno J. Strasser argues that by serving as knowledge repositories, as well as indispensable tools for producing new knowledge, these databases function as digital museums for the twenty-first century.
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front cover of Composition and Big Data
Composition and Big Data
Amanda Licastro, Benjamin Miller
University of Pittsburgh Press, 2021

In a data-driven world, anything can be data. As the techniques and scale of data analysis advance, the need for a response from rhetoric and composition grows ever more pronounced. It is increasingly possible to examine thousands of documents and peer-review comments, labor-hours, and citation networks in composition courses and beyond. Composition and Big Data brings together a range of scholars, teachers, and administrators already working with big-data methods and datasets to kickstart a collective reckoning with the role that algorithmic and computational approaches can, or should, play in research and teaching in the field. Their work takes place in various contexts, including programmatic assessment, first-year pedagogy, stylistics, and learning transfer across the curriculum. From ethical reflections to database design, from corpus linguistics to quantitative autoethnography, these chapters implement and interpret the drive toward data in diverse ways. 

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front cover of Data Flood
Data Flood
Helping the Navy Address the Rising Tide of Sensor Information
Isaac R. III Porche
RAND Corporation, 2014
Navy analysts are struggling to keep pace with the growing flood of data collected by intelligence, surveillance, and reconnaissance sensors. This challenge is sure to intensify as the Navy continues to field new and additional sensors. The authors explore options for solving the Navy’s “big data” challenge, considering changes across four dimensions: people, tools and technology, data and data architectures, and demand and demand management.
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front cover of Data Power
Data Power
Radical Geographies of Control and Resistance
Jim E. Thatcher
Pluto Press, 2021

In recent years, popular media has inundated audiences with sensationalized headlines recounting data breaches, new forms of surveillance and other dangers of our digital age. Despite their regularity, such accounts treat each case as unprecedented and unique. This book proposes a radical rethinking of the history, present and future of our relations with the digital, spatial technologies that increasingly mediate our everyday lives.

From smartphones to surveillance cameras, to navigational satellites, these new technologies offer visions of integrated, smooth and efficient societies, even as they directly conflict with the ways users experience them. Recognizing the potential for both control and liberation, the authors argue against both acquiescence to and rejection of these technologies.

Through intentional use of the very systems that monitor them, activists from Charlottesville to Hong Kong are subverting, resisting and repurposing geographic technologies. Using examples as varied as writings on the first telephones to the experiences of a feminist collective for migrant women in Spain, the authors present a revolution of everyday technologies. In the face of the seemingly inevitable circumstances, these technologies allow us to create new spaces of affinity, and a new politics of change.

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front cover of The Datafied Society
The Datafied Society
Studying Culture through Data
Edited by Mirko Tobias Schäfer and Karin van Es
Amsterdam University Press, 2017
As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices. This book critically reflects on the role and usefulness of big data, challenging overly optimistic expectations about what such information can reveal, introducing practices and methods for its analysis and visualisation, and raising important political and ethical questions regarding its collection, handling, and presentation.
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front cover of Distant Readings of Disciplinarity
Distant Readings of Disciplinarity
Knowing and Doing in Composition/Rhetoric Dissertations
by Benjamin Miller
Utah State University Press, 2022
In Distant Readings of Disciplinarity, Benjamin Miller brings a big data approach to the study of disciplinarity in rhetoric, composition, and writing studies (RCWS) by developing scalable maps of the methods and topics of several thousand RCWS dissertations from 2001 to 2015. Combining charts and figures with engaging and even playful prose, Miller offers an accessible model of how large-scale data-driven research can advance disciplinary understanding—both answering and amplifying the call to add replicable data analysis and visualization to the mix of methods regularly employed in the field.

Writing studies has long been marked by a multitude of methods and interlocking purposes, partaking of not just humanities approaches but also social scientific ones, with data drawn from interviews and surveys alongside historical and philosophical arguments and with corpus analytics in large-scale collections jostling against small-scale case studies of individuals. These areas of study aren’t always cleanly separable; shifting modes mark the discipline as open and welcoming to many different angles of research. The field needs to embrace that vantage point and generate new degrees of familiarity with methods beyond those of any individual scholar.
 
Not only a training genre and not only a knowledge-making genre, the dissertation is also a discipline-producing genre. Illustrating what the field has been studying, and how, Distant Readings of Disciplinarity supports more fruitful collaborations within and across research areas and methods.
 
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front cover of Mapping Crisis
Mapping Crisis
Participation, Datafication and Humanitarianism in the Age of Digital Mapping
Edited by Doug Specht
University of London Press, 2020
The digital age throws questions of representation, participation, and humanitarianism back to the fore, as machine learning, algorithms, and big data centers take over the process of mapping the subjugated and subaltern. Mapping Crisis questions whether it is the map itself that is in crisis. This book brings together critical perspectives on the role that mapping people, knowledges, and data now plays in humanitarian work, both in cartographic terms and through data visualizations. Since the rise of Google Earth in 2005, there has been an explosion in the use of mapping tools to quantify and assess the needs of the poor, including those affected by climate change and the wider neo-liberal agenda. Yet, while there has been a huge upsurge in the data produced around these issues, the representation of people remains questionable. Some have argued that representation has diminished as people are increasingly reduced to data points. In turn, this data has become ever more difficult to analyze without vast computing power, leading to a dependency on the old colonial powers to refine the data of the poor, before selling it back to them.
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front cover of Monitored
Monitored
Business and Surveillance in a Time of Big Data
Peter Bloom
Pluto Press, 2019
Our contemporary age is confronted by a profound contradiction: on the one hand, our lives as workers, consumers and citizens have become ever more monitored by new technologies. On the other, big business and finance become increasingly less regulated and controllable.

What does this technocratic ideology and surveillance-heavy culture reveal about the deeper reality of modern society? Monitored investigates the history and implications of this modern accountability paradox. Peter Bloom reveals pervasive monitoring practices which mask how at its heart, the elite remains socially and ethically out of control.

Challenging their exploitive 'accounting power', Bloom demands that the systems that administer our lives are oriented to social liberation and new ways of being in the world.
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front cover of Numbers and Nerves
Numbers and Nerves
Information, Emotion, and Meaning in a World of Data
Scott Slovic
Oregon State University Press, 2015
We live in the age of Big Data, awash in a sea of ever-expanding information—a constant deluge of facts, statistics, models, and projections. The human mind is quickly desensitized by information presented in the form of numbers, and yet many important social and environmental phenomena, ranging from genocide to global climate change, require quantitative description.

The essays and interviews in Numbers and Nerves explore the quandary of our cognitive responses to quantitative information, while also offering compelling strategies for overcoming insensitivity to the meaning of such information. With contributions by journalists, literary critics, psychologists, naturalists, activists, and others, this book represents a unique convergence of psychological research, discourse analysis, and visual and narrative communication.

At a time of unprecedented access to information, our society is frequently stymied in its efforts to react to the world’s massive problems. Many of these problems are systemic, deeply rooted in seemingly intransigent cultural patterns and lifestyles. In order to sense the significance of these issues and begin to confront them, we must first understand the psychological tendencies that enable and restrict our processing of numerical information.

Numbers and Nerves explores a wide range of psychological phenomena and communication strategies—fast and slow thinking, psychic numbing, pseudoinefficacy, the prominence effect, the asymmetry of trust, contextualized anecdotes, multifaceted mosaics of prose, and experimental digital compositions, among others—and places these in real-world contexts. In the past two decades, cognitive science has increasingly come to understand that we, as a species, think best when we allow numbers and nerves, abstract information and experiential discourse, to work together. This book provides a roadmap to guide that collaboration. It will be invaluable to scholars, educators, professional communicators, and anyone who struggles to grasp the meaning behind the numbers.
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