Giving Bodies Back to Data

Giving Bodies Back to Data

  • Silvia Casini
Publisher:MIT PressISBN 13: 9780262362207ISBN 10: 0262362201

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks Wagon₹3,747Book ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹27.99Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Giving Bodies Back to Data is written by Silvia Casini and published by MIT Press. It's available with International Standard Book Number or ISBN identification 0262362201 (ISBN 10) and 9780262362207 (ISBN 13).

An examination of the bodily, situated aspects of data-visualization work, looking at visualization practices around the development of MRI technology. Our bodies are scanned, probed, imaged, sampled, and transformed into data by clinicians and technologists. In this book, Silvia Casini reveals the affective relations and materiality that turn data into image--and in so doing, gives bodies back to data. Opening the black box of MRI technology, Casini examines the bodily, situated aspects of visualization practices around the development of this technology. Reframing existing narratives of biomedical innovation, she emphasizes the important but often overlooked roles played by aesthetics, affectivity, and craft practice in medical visualization. Combining history, theory, laboratory ethnography, archival research, and collaborative art-science, Casini retrieves the multiple presences and agencies of bodies in data visualization, mapping the traces of scientists' body work and embodied imagination. She presents an in-depth ethnographic study of MRI development at the University of Aberdeen's biomedical physics laboratory, from the construction of the first whole-body scanner for clinical purposes through the evolution of the FFC-MRI. Going beyond her original focus on MRI, she analyzes a selection of neuroscience- or biomedicine-inspired interventions by artists in media ranging from sculpture to virtual reality. Finally, she presents a methodology for designing and carrying out small-scale art-science projects, describing a collaboration that she herself arranged, highlighting the relational and aesthetic-laden character of data that are the product of craftsmanship and affective labor at the laboratory bench.