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The Repercussions of Gender Bias in Data

January 24, 2017|Big Data 2.0

Data helps inform decisions about everything from employee salaries to new legislation. But half of the population – women and girls – are not only misrepresented, they are often missing altogether from this data. This gender data gap translates to biased information which, in turn, leads to bad policies and bad decisions. Emily Courey Pryor of Data2X and Shaida Badiee of Open Data Watch explore issues and consequences around gender biased data in this latest video.

What do you think?

How can we close the gender data gap to ensure equality for all? Sound off in comments below or visit our poll section to cast a vote.