Discover Human-Centered Data Science: An Introduction, the essential guide for building ethical and impactful data-driven projects. This foundational book, from the field’s pioneers, addresses the critical issues of bias and inequality in automated data collection and analysis. Learn practical best practices and explore real-world case studies to integrate human-centered approaches into every stage of the data science workflow. Understand how to leverage social science tools, foster collaboration, and create compelling data visualizations. Perfect for data scientists, researchers, and anyone interested in responsible AI, this accessible introduction empowers you to create rigorous, ethical algorithms and data science projects that positively impact society. Published by The MIT Press.