Overview

Every day, women suffer the consequences of a world built with men as the default and women largely excluded. The gender data gap touches every aspect of life: they take medications tested mostly on men, navigate cities planned around male movement patterns, use technologies built on biased data, and struggle within systems that fail to recognize their real needs. This is no coincidence. It is the direct impact of gender bias and systemic discrimination, a silent crisis shaping women's lives, bodies, safety, and opportunities. Hidden Women: Unmasking Data Bias in a Modern World exposes how deeply data bias and the exclusion of women are woven into the foundations of our society. Drawing from hundreds of global studies and real-life examples, this book reveals how missing female data distorts healthcare outcomes, fuels inequality in the workplace, weakens public policy, and allows algorithms to reproduce systemic discrimination at scale. Inside this powerful exploration, you will learn: Why the gender data gap continues to harm women today How biased data affects medicine, technology, transportation, safety, and economic development How systems built with ""male-as-default"" thinking create invisible barriers to gender equality How exclusion from research leads to women being misunderstood, misdiagnosed, and unsafe The unconscious design choices in public policy, product design, and algorithms that reinforce discrimination Practical solutions for building inclusive data systems that account for women and work better for everyone Far from a theoretical discussion, this book delivers a bold, urgent message: We cannot achieve true gender equality until we fix the broken data systems driving our decisions. When women are excluded from research, the world becomes dangerous, inequitable, and unsafe. When women are counted, measured, and represented, society becomes stronger, fairer, and safer. Hidden Women is a call to action for anyone who believes that women deserve visibility in a world that has long overlooked them. It is for leaders, policymakers, researchers, educators, designers, and everyday readers who want to understand why inequality persists and how to finally correct systems built without women's full story. A world designed for men is failing women. A world designed for everyone begins with better, unbiased data.

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