Challenging power in data science

Data science has never been more important but there is a considerable issue. The Data Feminism book is a collaboratively crafted book led by Catherine D’Ignazio and Lauren F. Klein which seeks to investigate data science from a feminist perspective. Biased data sets and assumptions can lead to biased technology and there is a great possibility for harm. Assumptions, like a male/female binary can lead to incorrect and harmful classification systems. You can read more about the book here:
http://datafeminism.io/
and download it here:
https://mutabit.com/repos.fossil/datafem/uv/datafem.pdf