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January 24, 2017

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.

  • Kris Sbarbaro

    What’s really interesting about this video is that this is an issue about accurately portraying reality. Male, female, boy, girl, heck turtle, it’s about making sure that the things influencing our perception of reality is as close to factual as possible. Gender bias in data is not what one might think it is. Interesting video.

  • Kathryn Watson

    To close the gender gap, we have to close the data gap. There are too many areas in the world where data doesn’t exist, and when it does exist, it’s often sexist. It’s great to see this discussion start to take shape and gain momentum today. While we have a lot of work ahead, I know that data will be a huge part of supporting new global health and development initiatives.

  • Rick Candless

    Came here from the Reddit post. I’m curious to learn what sort of data is being referred to in this video. Only example cited was violence against women.

  • johnsonsite

    If it has any gender bias in it still, then it hasn’t yet become what we call data. It would just be unfiltered and unqualified information. I think there is clear distinction between the two. Any information that has any bias in it, in fact, is not data yet. Religious, cultural, economic, it doesn’t matter.