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This book investigates a new interactive data visualisation concept that employs traditional Chinese aesthetics as a basis for exploring contemporary digital technological contexts. It outlines the aesthetic approach, which draws on non-Western aesthetic concepts, specifically the Yijing and Taoist cosmological principles, and discusses the development of data-based digital practices within a theoretical framework that combines traditional Taoist ideas with the digital humanities. The book also offers a critique of the Western aesthetics underpinning data visualisation, in particular the Kantian sublime, which prioritises the experience of power over the natural world viewed at a distance. Taoist philosophy, in contrast, highlights the integration of the surface of the body and the surface of nature as a Taoist body, rather than promoting an opposition of mind and body. The book then explores the transformational potential between the human body and technology, particularly in creating an aesthetic approach spanning traditional Chinese aesthetics and gesture-based technology. Representing a valuable contribution to the digital humanities, the book helps readers understand data-based artistic practices, while also bringing the ideas of traditional Chinese aesthetics to Western audiences. In addition, it will be of interest to practitioners in the fields of digital art and data visualisation seeking new models.
In an age of cloning, cyborgs, and biotechnology, the line between bodies and bytes seems to be disappearing. DataMade Flesh is the first collection to address the increasingly important links between information and embodiment, at a moment when we are routinely tempted, in the words of Donna Haraway, "to be raptured out of the bodies that matter in the lust for information," whether in the rush to complete the Human Genome Project or in the race to clone a human being.
Presents a radical revision of our understanding of the technological
Embodied inquiry is the process of using embodied approaches in order to study, explore or investigate a topic. But what does it actually mean to be 'embodied'? This book explores why and how we use our bodies in order to research, what an embodied approach brings to a research project, and the kinds of considerations that need to be taken into account to research in this way. We all have bodies, feelings, emotions and experiences that affect the questions we are interested in, the ways in which we choose to approach finding out the answers to those questions, and the patterns we see in the data we gather as a result. Embodied Inquiry foregrounds these questions of positionality and reflexivity in research. It considers how a project or study may be designed to take these into account and why multimodal and creative approaches to research may be used to capture embodied experiences. The book offers insights into how to analyse the types of data emerging from embodied inquiries, and the ethical considerations that are important to consider. Accounting for the interdisciplinary nature of the field, this book has been written to be a concise primer into Embodied Inquiry for research students, scholars and practitioners alike.
This book explores embodiment in second language education, sociocultural theory and research. It focuses on process drama, an embodied approach that engages learners’ imagination, body and voice to create a felt-experience of the second language and culture. Divided into three parts, it begins by examining the aesthetic and intercultural dimension of performative language teaching, the elements of drama and knowing-in-action. The central part of the book examines issues related to play, emotions, classroom discourse and assessment when learning a language through process drama, in a sociocultural perspective. The third part is an analysis of the author’s qualitative research, which informs a subtle discussion on reflective practitioner methodology, learner engagement and teacher artistry. Each chapter includes a drama workshop, illustrating in practice what embodying language in action can look like when working with asylum seekers, adult learners with intellectual disabilities, pre-service teachers, international students and children involved in a Content and Language Integrated Learning (CLIL) programme. A unique combination of theory, research and reflective practice, this book provides valuable insights for teacher/artists, teacher educators and researchers in the fields of performative and sociocultural language learning.
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
How can we give data physical form? And how might those creations change the ways we experience data and the stories it can tell? Making with Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data. Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven piece—illustrating their practice with candid sketches, photos, and design artifacts from their own studios. The author website, featuring updates and more information about the projects behind the book, can be found here: https://makingwithdata.org/. Featuring influential voices in computer science, data science, graphic design, art, craft, and architecture, Making with Data is accessible and inspiring for enthusiasts and experts alike.
Before we are anything else, we are feeling bodies. In fact, feelings are an important part of every experience we ever have. This book explains what feelings are, describes their relationship with other psychological phenomena, and shows how their analysis transforms understandings of some key topics related to health and illness.
Community Data offers a new toolkit for data storytelling in community settings, one purpose-built for goals like inclusion, empowerment, and impact. Data science and visualization has spread into new domains it was designed for - community organizing, education, journalism, civic governance, and more. The dominant computational methods and processes, which have not changed in response, are causing significant discriminatory and harmful impacts, documented by leading scholars across a variety of populations. Informed by 15 years of collaborations in academic and professional settings with nonprofits and marginalized populations, the book articulates a new approach for aligning the processes and media of data work with social good outcomes, learning from the practices of newspapers, museums, community groups, artists, and libraries. This book introduces a community-driven framework as a response to the urgent need to realign data theories and methods around justice and empowerment to avoid further replicating harmful power dynamics and ensure everyone has a seat at the table in data-centered community processes. It offers a broader toolbox for working with data and presenting it, pushing beyond the limited vocabulary of surveys, spreadsheets, charts and graphs.
Fun and Software offers the untold story of fun as constitutive of the culture and aesthetics of computing. Fun in computing is a mode of thinking, making and experiencing. It invokes and convolutes the question of rationalism and logical reason, addresses the sensibilities and experience of computation and attests to its creative drives. By exploring topics as diverse as the pleasure and pain of the programmer, geek wit, affects of play and coding as a bodily pursuit of the unique in recursive structures, Fun and Software helps construct a different point of entry to the understanding of software as culture. Fun is a form of production that touches on the foundations of formal logic and precise notation as well as rhetoric, exhibiting connections between computing and paradox, politics and aesthetics. From the formation of the discipline of programming as an outgrowth of pure mathematics to its manifestation in contemporary and contradictory forms such as gaming, data analysis and art, fun is a powerful force that continues to shape our life with software as it becomes the key mechanism of contemporary society. Including chapters from leading scholars, programmers and artists, Fun and Software makes a major contribution to the field of software studies and opens the topic of software to some of the most pressing concerns in contemporary theory.