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Human-Centered Data Science by Cecilia Aragon at Abbey's Bookshop,
Human-Centered Data Science
— —
Cecilia Aragon Shion Guha

Human-Centered Data Science

Cecilia Aragon,  Shion Guha,  Marina Kogan ,  Michael Muller

$85

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English
MIT Press
01 March 2022
Algorithms & data structures
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.

Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.

Human-centered data science is a new interdisciplinary field that draws from human-computer interaction, social science, statistics, and computational techniques. This book, written by founders of the field, introduces best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of very large datasets. It offers a brief and accessible overview of many common statistical and algorithmic data science techniques, explains human-centered approaches to data science problems, and presents practical guidelines and real-world case studies to help readers apply these methods.

The authors explain how data scientists' choices are involved at every stage of the data science workflow-and show how a human-centered approach can enhance each one, by making the process more transparent, asking questions, and considering the social context of the data. They describe how tools from social science might be incorporated into data science practices, discuss different types of collaboration, and consider data storytelling through visualization. The book shows that data science practitioners can build rigorous and ethical algorithms and design projects that use cutting-edge computational tools and address social concerns.
By:   , , , ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   369g
ISBN:   9780262543217
ISBN 10:   0262543214
Pages:   200
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Cecilia Aragon is Professor in the Department of Human Centered Design and Engineering at the University of Washington. Shion Guha is Assistant Professor in the Faculty of Information at the University of Toronto. Marina Kogan is Assistant Professor in the School of Computing at the University of Utah. Michael Muller is a Research staff member at IBM Research. Gina Neff is Director of the Minderoo Centre for Technology and Democracy at the University of Cambridge and Professor of Technology and Society at the Oxford Internet Institute and the Department of Sociology at the University of Oxford.

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