Title
Beautiful Data: A History Of Vision And Reason Since 1945 (Experimental Futures)
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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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- Q: What are the dimensions of 'Beautiful Data'? A: The dimensions are six point one inches by zero point eight inches by eight point nine inches. This size makes it easily portable and convenient for reading.
- Q: How many pages does 'Beautiful Data' have? A: This book contains three hundred fifty-two pages. It offers a comprehensive exploration of big data and its historical context.
- Q: What type of binding does 'Beautiful Data' have? A: It is available in paperback binding. This type of binding is lightweight and flexible, making it easy to handle.
- Q: Who is the author of 'Beautiful Data'? A: The author is Orit Halpern. She provides a critical look at the history of data and its implications for society.
- Q: What genre does 'Beautiful Data' belong to? A: This book falls under the Architecture genre. It also intersects with themes in design and social sciences.
- Q: What is the main theme of 'Beautiful Data'? A: The main theme explores the intersection of big data, vision, and cognition since nineteen forty-five. It discusses how data influences perception and analysis.
- Q: Is 'Beautiful Data' suitable for beginners? A: Yes, it is suitable for those new to the topic of big data. The author presents complex ideas in an accessible manner.
- Q: How can I apply the insights from 'Beautiful Data'? A: You can apply its insights to understand how data shapes our observations and decisions in various fields. It's relevant for design, urban planning, and social sciences.
- Q: What audience would benefit from reading 'Beautiful Data'? A: Students and professionals in architecture, data science, and social sciences would benefit. It offers valuable perspectives on data management and visualization.
- Q: How should I care for my copy of 'Beautiful Data'? A: Keep it in a dry, cool place to avoid damage. Avoid exposing it to direct sunlight to preserve the cover and pages.
- Q: Can I return 'Beautiful Data' if I'm not satisfied? A: Yes, most retailers offer return policies. Check the specific return policy where you purchased the book for details.
- Q: What if 'Beautiful Data' arrives damaged? A: You should contact the seller immediately for a replacement or refund. Document any damage with photos to support your claim.
- Q: Is 'Beautiful Data' an academic book? A: Yes, it has academic elements. It discusses theories and historical contexts relevant to data and cognition.
- Q: Does 'Beautiful Data' include illustrations or graphics? A: No, it primarily consists of text. The focus is on theoretical discussions rather than visual representations.
- Q: How does 'Beautiful Data' relate to current digital media? A: It critiques the belief that increased media consumption can resolve attention crises caused by digital media. It offers a deeper analysis of our relationship with data.