Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

This title brings together work on embodiment, action, and the predictive mind. At the core is the vision of human minds as prediction machines - devices that constantly try to stay one step ahead of the breaking waves of sensory stimulation, by actively predicting the incoming flow. In every situation we encounter, that complex prediction machinery is already buzzing, proactively trying to anticipate the sensory barrage. The book shows in detail how this strange but potent strategy of self-anticipation ushers perception, understanding, and imagination simultaneously onto the cognitive stage.

Read this classic romance by USA Today bestselling author Carole Mortimer, now available for the first time in e-book! Pregnant with her convenient husband’s child… Caroline Maxwell knew when she married Justin de Wolfe that their marriage was one of convenience. But drawn to Justin by a fierce mutual passion, the usually sensible Caroline married him knowing that he couldn’t love her—just as she couldn’t help loving him. She accepts the hazards of a marriage to the arrogant, magnetic lawyer—his aversion to love, sudden changes in mood and his restless nightmares. But how will Justin react when Caroline announces she’s pregnant with his baby…? Originally published in 1987

Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to critical studies of big data--arranged glossary style, from from abuse and aggregate to visualization and vulnerability--both challenging conventional usage of such often-used terms as prediction and objectivity and introducing such unfamiliar ones as overfitting and copynorm. The contributors include both leading researchers, including N. Katherine Hayles, Johanna Drucker and Lisa Gitelman, and such emerging agenda-setting scholars as Safiya Noble, Sarah T. Roberts and Nicole Starosielski.

The acclaimed author “richly articulates how the insights of modern science . . . can usher in a new era of human and planetary health” (Systems Thinker). For years, Margaret Wheatley has written eloquently about humanizing our organizations and helping people to work together more effectively and compassionately. She has shown how breakthroughs in chaos theory and quantum physics can enable organizations to function more like responsive, self-organizing living systems, rather than cold mechanisms of control. And she has gradually expanded these ideas into the wider arena of human society. In short, Margaret Wheatley is one of the most innovative and influential organizational thinkers of our time, and Finding Our Way brings together her shorter writings for the first time, touching on all the topics she has addressed throughout her career, showing how she has applied the ideas in her books in many different situations. “However,” she writes, “this is not a collection of articles. I updated, revised, or substantially added to the original content of each one. In this way, everything written here represents my current views on the subjects I write about.” Provocative, challenging, at times poetic, and often deeply moving, Finding Our Way sums up Wheatley’s thinking on a diverse scope of topics from leadership and management to education and raising children in turbulent times; from societal commentary to specific organizational techniques and more. “Wheatley provocatively lays out how managers must operate to be effective in a system that is ‘alive’ . . . Finding Our Way challenges us to see the enterprises we lead in new light.” —Leader’s Beacon

Citizens of networked societies are almost incessantly accompanied by ecologies of images. These ecologies of still and moving images present a paradox of uncertainties emerging along with certainties. Images appear more certain as the technical capacities that render them visible increase. At the same time, images are touched by more uncertainty as their numbers, manipulabilities, and contingencies multiply. With the emergence of big data, the image is becoming a dominant vehicle for the construction and presentation of the truth of data. Images present themselves as so many promises of the certainty, predictability, and intelligibility offered by data. The focus of this book is twofold. It analyses the kinds of images appearing today, showing how they are marked by a return to modern photographic emphases on high resolution, clarity, and realistic representation. Secondly, it discusses the ways in which the uncertainty of images is increasingly underscored within such reiterated emphases on allegedly certain visual truths. This often involves renewed encounters with noise, grain, glitch, blur, vagueness, and indistinctness. This book provides the reader with an intriguing transdisciplinary investigation of the uncertainly certain relation between the cultural imagination and the techno-aesthetic regime of big data and ubiquitous computing. This book was originally published as a special issue of Digital Creativity.

This book will show you how to harness sustainable thinking to move forward with confidence into the unknown.