Human-Centered Data Science

Human-Centered Data Science An Introduction

Paperback (18 Feb 2022)

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Publisher's Synopsis

Human-centred 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-centred 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-centred 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 visualisation. 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.

Book information

ISBN: 9780262543217
Publisher: The MIT Press
Imprint: The MIT Press
Pub date:
DEWEY: 005.7
DEWEY edition: 23
Language: English
Number of pages: 185
Weight: 412g
Height: 178mm
Width: 253mm
Spine width: 17mm