How not to data like a sexist: Feminist Data Evaluation

Session Number: 1009
Track: Feminist Issues in Evaluation
Session Type: Expert Lecture
Tags: equity, Equity Lens, Feminist Evaluation, quantitative methods
First Author or Discussion Group Leader: Heather Krause, PStat [Principal Data Scientist - Datassist]
Time: Nov 14, 2019 (11:30 AM - 12:15 PM)
Room: Hilton Symphony III

Audience Level: All Audiences

Session Abstract (150 words): 

Collecting, analyzing and communicating data are not neutral activities.  The process of creating evidence is very much dependent on the world view and cultural values of the people involved - from those designing the data collection, those doing the analysis, and those being studied.  Even such an apparently simple mathematical process such as taking an average is highly influenced by your point of view. This demonstration will be devoted to showing step by step processes you can take to help surface bias, sexism, racism, colonialism, and other types of latent discrimination in the way we collect data, analyze data, and communicate about data.  We will work through an example that is accessible to practitioners with intermediate data analysis experience and will also accommodate the adventurous beginner. Handouts will be provided to participants so that they can take away the learning from this session and apply it directly to their own projects.