Thinking Through Data : How Outliers, Aggregates, and Patterns Shape Perception

Maja Bak Herrie

ISBN 10: 150364233X / ISBN 13: 9781503642331

Published by Stanford University Press Mär 2025, 2025

About this Item

Neuware - 'We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smart cities, biometrics, medicine, and more. This fascinating book explores the historical context of the current data-driven paradigm and explains how elusive yet crucial statistical concepts such as outliers, aggregates, and patterns form how we sense and make sense of data. From the 16th century's embodied measurements of the foot, through the blurred facial features of L'Homme Moyen, to the image aggregates of today's security systems, the examples collected in this book illustrate the central role of aesthetics throughout the history of statistical knowledge production. Taking its point of departure in analyses and discussions of contemporary artistic experiments by Rossella Biscotti, Stâephanie Solinas, and Adam Broomberg and Oliver Chanarin, the book broadens our understanding of the structures of knowledge and methods in statistical computation beyond optimistic narratives of calculative power. Venturing out into the tails of the distributions--to the systemically overlooked and excluded--this book challenges us to embrace an alternative view of room of modern data processing'-- Provided by publisher.

Seller Inventory # 9781503642331

Bibliographic Details

• Title: Thinking Through Data : How Outliers, Aggregates, and Patterns Shape Perception
• Publisher: Stanford University Press Mär 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 150364233X
• ISBN 13: 9781503642331
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 225W x 149H x 12D millimeters 225 millimeters width by 149 millimeters height by 12 millimeters depth
• Weight: 250 grams

About this title

Synopsis

We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smart cities, biometrics, medicine, and more. This fascinating book explores the historical context of the current data-driven paradigm and explains how elusive yet crucial statistical concepts such as outliers, aggregates, and patterns form how we sense and make sense of data. From the sixteenth century's embodied measurements of the foot, through the blurred facial features of L'Homme Moyen, to the image aggregates of today's security systems, the examples collected in this book illustrate the central role of aesthetics throughout the history of statistical knowledge production. Taking its point of departure in analyses and discussions of contemporary artistic experiments by Rossella Biscotti, Stéphanie Solinas, and Adam Broomberg and Oliver Chanarin, the book broadens our understanding of the structures of knowledge and methods in statistical computation beyond optimistic narratives of calculative power. Venturing out into the tails of the distributions—to the systemically overlooked and excluded—this book challenges us to embrace an alternative view of modern data processing.

About the Author

Maja Bak Herrie, postdoc at The School of Communication and Culture at Aarhus University, works within the fields of aesthetics, media theory, and the philosophy of science on topics such as computational technologies of vision, scientific imaging, photography, and artistic research. She is co-editor The Nordic Journal of Aesthetics.