In this work, author Frank B. Livingstone has collected and interpreted data on abnormal hemoglobins and G6PD deficiency in humans around the globe. He reports on blood abnormalities by continent and ethnicity and relates these findings to the historic and prehistoric movements of populations.

For well over a century, academic disciplines have studied human behavior using quantitative information. Until recently, however, the humanities have remained largely immune to the use of data—or vigorously resisted it. Thanks to new developments in computer science and natural language processing, literary scholars have embraced the quantitative study of literary works and have helped make Digital Humanities a rapidly growing field. But these developments raise a fundamental, and as yet unanswered question: what is the meaning of literary quantity?
          In Enumerations, Andrew Piper answers that question across a variety of domains fundamental to the study of literature. He focuses on the elementary particles of literature, from the role of punctuation in poetry, the matter of plot in novels, the study of topoi, and the behavior of characters, to the nature of fictional language and the shape of a poet’s career. How does quantity affect our understanding of these categories? What happens when we look at 3,388,230 punctuation marks, 1.4 billion words, or 650,000 fictional characters? Does this change how we think about poetry, the novel, fictionality, character, the commonplace, or the writer’s career? In the course of answering such questions, Piper introduces readers to the analytical building blocks of computational text analysis and brings them to bear on fundamental concerns of literary scholarship. This book will be essential reading for anyone interested in Digital Humanities and the future of literary study.
 

Today's urban environments are layered with data and algorithms that fundamentally shape how we perceive and move through space. But are our digitally dense environments continuing to amplify inequalities rather than alleviate them? This book looks at the key contours of information inequality, and who, what and where gets left out.

Platforms like Google Maps and Wikipedia have become important gateways to understanding the world, and yet they are characterized by significant gaps and biases, often driven by processes of exclusion. As a result, their digital augmentations tend to be refractions rather than reflections: they highlight only some facets of the world at the expense of others.

This doesn't mean that more equitable futures aren't possible. By outlining the mechanisms through which our digital and material worlds intersect, the authors conclude with a roadmap for what alternative digital geographies might look like.

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.

In the age of Apple Watches and Fitbits, the concept of “health” emerges through an embodied experience of a digital health device or platform, not simply through the biomedical data it provides. Sensing Health: Bodies, Data, and Digital Health Technologies analyzes popular digital health technologies as aesthetic experiences to understand how these devices and platforms have impacted the way individuals perceive their bodies, behaviors, health, and well-being. By tracing design alongside embodied experiences of digital health, Kressbach shows how these technologies aim to quantify, track and regulate the body, while at the same time producing moments that bring the body’s affordances and relationship to the fore. This mediated experience of “health” may offer an alternative to biomedical definitions that define health against illness.

To capture and analyze digital health experiences, Kressbach develops a method that combines descriptive practices from Film and Media Studies and Phenomenology. After examining the design and feedback structures of digital health platforms and devices, the author uses her own first-person accounts to analyze the impact of the technology on her body, behaviors, and perception of health. Across five chapters focused on different categories of digital health—menstrual trackers, sexual wellness technologies, fitness trackers, meditation and breathing technologies, and posture and running wearables—Sensing Health demonstrates a method of analysis that acknowledges and critiques the biomedical structures of digital health technology while remaining attentive to the lived experiences of users. Through a focus on the intersection of technological design and experience, this method can be used by researchers, scholars, designers, and developers alike. 

Stephanie Dinkins is renowned for her critical investigations into artificial intelligence and machine learning systems as they intersect race, gender, and our future histories. By using her training in documentary practices as a photo-based artist, she creates inclusive platforms for dialogue and action toward building technological ecosystems and datasets that are equitable, accessible, and transparent. Her immersive installations, community-based workshops, and public talks seek audience participation and engagement in a way that pushes the boundaries of new media and socially engaged art practices in the 21st century. 

Stephanie Dinkins: On Love & Data brings together nationally renowned curators and theorists who draw from methodologies of art criticism, social practice, new media theory, and critical studies to offer an in-depth analysis of key installations in Dinkins’s survey exhibition. The book also includes an important essay by Stephanie Dinkins on her concept of Afro-now-ism in which she expands on her theoretical framework and positionality as a Black new media artist in the 21st century. Dinkins’s artistic research transcends the boundaries of visual art to challenge and expose the bias and inequities of caste, race, and gender, which are encoded within digital systems on which governance, healthcare, and security infrastructures in the United States are based. 

Territory is shifting. No longer defined by the dotted line of the border or the national footprint of soil, today’s territories are enacted through data infrastructures. From subsea cables to server halls, these infrastructures underpin new forms of governance, shaping subjects and their everyday lives. Technical Territories moves from masked protestors in Hong Kong to asylum-seekers in Christmas Island and sand miners in Singapore, exploring how these territories are both political and visceral, altering the experience of their inhabitants.

Infrastructures have now become geopolitical, strategic investments that advance national visions, extend influence, and trigger trade wars. Yet at the same time, these technologies also challenge sovereignty as a bounded container, enacting a more distributed and decoupled form of governance. Such “technical territories” construct new zones where subjects are assembled, rights are undermined, labor is coordinated, and capital is extracted. The stable line of the border is replaced by more fluid configurations of power. Luke Munn stages an interdisciplinary intervention over six chapters, drawing upon a wide range of literature from technical documents and activist accounts, and bringing insights from media studies, migration studies, political theory, and cultural and social studies to bear on these new sociotechnical conditions.

In Theater as Data, Miguel Escobar Varela explores the use of computational methods and digital data in theater research. He considers the implications of these new approaches, and explains the roles that statistics and visualizations play. Reflecting on recent debates in the humanities, the author suggests that there are two ways of using data, both of which have a place in theater research. Data-driven methods are closer to the pursuit of verifiable results common in the sciences; and data-assisted methods are closer to the interpretive traditions of the humanities. The book surveys four major areas within theater scholarship: texts (not only playscripts but also theater reviews and program booklets); relationships (both the links between fictional characters and the collaborative networks of artists and producers); motion (the movement of performers and objects on stage); and locations (the coordinates of performance events, venues, and touring circuits). Theater as Data examines important contributions to theater studies from similar computational research, including in classical French drama, collaboration networks in Australian theater, contemporary Portuguese choreography, and global productions of Ibsen. This overview is complemented by short descriptions of the author’s own work in the computational analysis of theater practices in Singapore and Indonesia. The author ends by considering the future of computational theater research, underlining the importance of open data and digital sustainability practices, and encouraging readers to consider the benefits of learning to code. A web companion offers illustrative data, programming tutorials, and videos.