This is not a fully formulated idea but it is inspired by the books Invisible Women and Queer Data which discusses the data biases again women and queer folks. Biases are prevalent from policy, urban design, AI training, workplace, healthcare and more. Most of the studies are from the North Hemisphere.
This idea can definitely be split into seperate ideas but I am putting them collectively here as they both have a common goal is of identifying biases.
Perhaps a minimal viable product for would be to compile data sources that can be used to identify data biases. (ABRS, healthcare data, meta-analyses?)
Mid term goal could be workflows on how to wrangle, clean the data from different sources to prep for analysis.
A long term goal maybe a interactive application to host and explore these data sources
This is not a fully formulated idea but it is inspired by the books Invisible Women and Queer Data which discusses the data biases again women and queer folks. Biases are prevalent from policy, urban design, AI training, workplace, healthcare and more. Most of the studies are from the North Hemisphere.
This idea can definitely be split into seperate ideas but I am putting them collectively here as they both have a common goal is of identifying biases.
Perhaps a minimal viable product for would be to compile data sources that can be used to identify data biases. (ABRS, healthcare data, meta-analyses?)
Mid term goal could be workflows on how to wrangle, clean the data from different sources to prep for analysis.
A long term goal maybe a interactive application to host and explore these data sources