Books can provide excellent background on a topic, as they can explain and contextualize a phenomenon, and are often written in a more narrative style than academic articles. Books can be great for exploring and narrowing down your topic or learning the basics before you dive into primary research articles.
When technology reinforces inequality, it’s not a small error—it shows the system itself needs redesigning. Broussard explains how bias is built into many algorithms, from facial recognition to lending and medical tools, and argues that real equity requires removing the systems that mark certain groups as “other,” not just making biased tech more inclusive.
Since 2014, a growing number of employment discrimination lawsuits has called attention to a persistent pattern of gender discrimination in the tech world. This book includes firsthand accounts of inequality and opportunity in the tech ecosystem.
A hands-on guide that will help you to write clean and efficient code in Python.
If you're interested in a broad computer science topic, or would like to browse for inspiration or interesting reading, try one of these Library of Congress call numbers:
