The impact of leaving women's bodies out of research ranges from phones that are too big for female hands, to women being more likely to die if they're in a car accident. Kim Chakanetsa talks to two women investigating the data gender gap and how to resolve it.

Caroline Criado Perez says a ‘one-size-fits-men’ approach to design, technology and research has resulted in a myriad of instances where women have been overlooked: from cars that are safer for men driving them to stab vests that don't work as well for women's bodies. In her book, Invisible Women: Exposing Data Bias in a World Designed for Men she examines the impact on women of a world that has largely been built for and by men and looks at why data and statistics are far from 'gender-blind'.

Lauren Klein says part of the solution lies in the lessons learned by intersectional feminism. The Associate Professor at Emory University has co-authored a book called Data Feminism with Catherine D’Ignazio. It looks at data science and data ethics and their impact on parts of society that are often overlooked and discriminated against.

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