The process of converting life experience into data always necessarily entails a reduction of that experience
Yes - I imagine most definitely with quant data. I wonder if certain data is less reductive - for example qual data, which allows for themes/coding from narratives, first-hand story telling etc.
But what information needs to become data before it can be trusted? Or, more precisely, whose information needs to become data before it can be considered as fact and acted upon?.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }2Peem Lerdp, Fagana Stone25
Great questions, including at what point does action take place once data is verified. This is relevant to all fields.
The work of data feminism is first to tune into how standard practices in data science serve to reinforce these existing inequalities and second to use data science to challenge and change the distribution of power..d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }1Megan Foesch
Glad to learn this new term, Data-Feminism, and seeking the equal distribution of power and commitment to co-liberation
[It is] when prejudice and discrimination is supported and encouraged by the world around you. It is when you are harmed or not helped by government, community or society at large because of your identity.”
Powerful.
Indeed, a central aim of this book is to describe a form of intersectional feminism that takes the inequities of the present moment as its starting point and begins its own work by asking: How can we use data to remake the world?8
This question sounds optimistic, when in reality there may be negative actors trying to cover up or alter data, likely in any field.
women employees known as computers
Wow. Without knowing more background, I would be curious from the women's perspectives if this title was taken as compliment, at the same time fighting for gender equality in the workplace.
But it would be Darden herself, as a Black woman with technical expertise.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }, working at a federal agency in which sexism and racism openly prevailed.d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }2Michela Banks, ethan chang
Learning about Christine Mann Darden reminds me of "Hidden Figures", which highlighted three African American women: Katherine Johnson, Dorothy Vaughan, and Mary Jackson, essential mathematicians and engineers at NASA during the Space Race in the 1950s and 1960s, also overcoming racial and gender discrimination.