Human-Centered Data Science: An Introduction

In the rapidly evolving field of data science, addressing bias and inequality is crucial, especially when dealing with the automated collection, analysis, and distribution of large datasets. \"Human-Centered Data Science\" is a groundbreaking book authored by the founders of this interdisciplinary field. It draws from human-computer interaction, social science, statistics, and computational techniques to offer best practices for tackling these challenges. This book provides a concise and accessible overview of common statistical and algorithmic data science techniques, while also explaining human-centered approaches to data science problems. Readers will find practical guidelines and real-world case studies that help apply these methods effectively.

The authors delve into the data science workflow, illustrating how data scientists\' choices impact every stage. They advocate for a human-centered approach that enhances transparency, encourages critical questioning, and considers the social context of data. By integrating tools from social science into data science practices, the book explores various types of collaboration and emphasizes the importance of data storytelling through visualization.

\"Human-Centered Data Science\" demonstrates that data science practitioners can develop rigorous and ethical algorithms. It guides readers in designing projects that not only utilize cutting-edge computational tools but also address significant social concerns. This book is an essential resource for anyone looking to build a more equitable and responsible data science practice.

• Author: Cecilia Aragon
• Genre: Computers
• Binding: Paperback
• Language: English
• Publication Date: 2022
• Pages: 200
• Manufacturer: The MIT Press
• Subject Keywords: Science, Technology, Computers, Self Help, Business, Education, Psychology, Sustainability