Data is fundamental to the modern world. From economic development to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women–diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.
Invisible Women: Data Bias in a World Designed for Men
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Implications of Cryptocurrency Energy Usage on Climate Change
Zhang, Dongna, Xihui Haviour Chen, Chi Keung Lau, and Bing Xu. 2023. “Implications of Cryptocurrency Energy Usage on Climate Change.” Technological Forecasting and Social Change 187: 122219.
- Authors with Diverse Backgrounds
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How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions
Bhutta, Neil and Hizmo, Aurel and Ringo, Daniel. 2022. “How Much Does Racial Bias Affect Mortgage Lending? Evidence from Human and Algorithmic Credit Decisions.” FEDS Working Paper No. 2022-67, SSRN
- Open Source Results
- Authors with Diverse Backgrounds