Gender data bias impacts women's access to education from "summary" of Invisible Women by Caroline Criado Perez
The data we collect shapes the world we live in. But what happens when that data is biased, when it fails to capture the full range of human experience? In the case of education, gender data bias has a profound impact on women's access to learning opportunities. When policymakers make decisions about educational resources, they rely on data to guide their choices. But if that data primarily reflects the experiences of men, then women's needs and challenges may be overlooked. This oversight can have serious consequences for women and girls, limiting their access to quality education and the opportunities it brings. One example of gender data bias in education is the way we measure attendance. In many developing countries, girls are responsible for household chores like fetching water and caring for siblings. As a result, they may miss school more often than boys. However, traditional attendance records often fail to account for these responsibilities, painting an inaccurate picture of girls' educational engagement. Another way gender data bias impacts women's access to education is through the a...
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