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It is great to read about intersectional feminism being applied to technology and data, because in a male dominated field it is important to know which information is biased towards a patriarchal society.  D’Ignazio acknowledged that collecting and presenting data can be biased by who is creating it, who it is created for, and the societal influences around it. The article concluded that to further embrace intersectional feminism, the field needs to; rethink binaries, embrace pluralism, examine power, consider context, legitimize embodiment and affect, and make labor visible. Critical thinking about all of these categories will allow the audience and the author to remove some of the societal inequalities that all STEM fields currently have.

MS-B mentioned in their post that by data should have the flexibility to be collected in a fluid manner, and the technology should adapt to be able to handle that sort of analysis. If data was collected in a fluid manner since it’s creation, we wouldn’t have the check”male or female” box as often as we do.