Data feminism /

Bibliographic Details
Main Authors:	Kanarinka (Author), Klein, Lauren F. (Author)
Corporate Author:	ProQuest (Firm)
Format:	eBook
Language:	English
Published:	Cambridge, Massachusetts : The MIT Press, [2020]
Series:	ideas series.
Subjects:	Feminism. Feminism and science. Big data > Social aspects. Quantitative research > Methodology > Social aspects. Power (Social sciences) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Introduction: Why data science needs feminism
Examine power : the power chapter
Challenge power : collect, analyze, imagine, teach
Elevate emotion and embodiment : on rational, scientific, objective viewpoints from mythical, imaginary, impossible standpoints
Rethink binaries and hierarchies : "What gets counted counts"
Embrace pluralism : unicorns, janitors, ninjas, wizards and rock stars
Consider context : the numbers don't speak for themselves
Make labor visible : show your work
Conclusion: Now let's multiply.