Data, Claims, and Analyses on "Invisible Women"

Jeri Mulrow Chair
Westat
 
Andrew Pua Panelist
 
Carolina Liskey Panelist
Clemson University and MUSC
 
Eunice Kim Panelist
Microsoft
 
Mark Otto Panelist
Independent
 
Minsun Riddles Panelist
Westat
 
Eunice Kim Organizer
Microsoft
 
Andrew Pua Organizer
 
Monday, Aug 5: 8:30 AM - 10:20 AM
1778 
Topic-Contributed Panel Session 
Oregon Convention Center 
Room: CC-G131 
FOCUS & TIMELINESS
Activists, educators, and policy makers have a common pre-requisite for their work, that is sound data collection and analyses. In 2022, ASA Book Club read the "Invisible Women: Data Bias in a World Designed for Men" by Caroline Criado Perez. Afterwards, several participants and more came together to curate the claims, data, and research articles that provided the basis of the thesis in Invisible Women.

CONTENT
The author provides references and links in the book, yet we see the need to put on our "statistcal sleuthing" hats to process each data-based claim by tracking down the original sources and to create materials which would enable policy makers, educators, and students to be critical about the claims. In this session, we present three strands of this data curation activity. First, we talk about the educational values of the curation activity at two levels: the act of "sleuthing" forces us to trace what is lost in translation in the communication of results and how the results rely on data which may be collected under a mix of plausible and misguided assumptions. Second, we review the methods to address the gender-lined abuse issues at work and in personal relationships. Third, we provide a practitioner's perspective on data collection activity to minimize data bias.

APPEAL
The book points out many aspects of society where women are often not addressed as one of the constituents of product and policy development and motivates readers to think of ways to amend the situation. Our research and data curation activity aims to bring resources for activists, educators, or policy makers to make changes for the better.

Applied

Yes

Main Sponsor

Social Statistics Section

Co Sponsors

Caucus for Women in Statistics
Committee on Women in Statistics