Gender in 30 Years of IEEE Visualization



Natkamon Tovanich, Pierre Dragicevic, Petra Isenberg

 External link (DOI) 

 View presentation:2021-10-27T15:45:00ZGMT-0600Change your timezone on the schedule page
2021-10-27T15:45:00Z

Exemplar figure, described by caption below — We present an exploratory analysis of gender representation among the authors, committee members, and award winners at the IEEE Visualization (VIS) conference. The proportion of female authors has increased from 9% in the first five years to 22% in the last five years of the conference. We found the same representation of women in program committees and slightly more women in organizing committees. Women are less likely to appear in the last author position but more in the middle positions. In terms of collaboration patterns, female authors tend to collaborate more than expected with other women in the community.

Fast forward

Direct link to video on YouTube: https://youtu.be/00FBt95k2-s

Abstract

We present an exploratory analysis of gender representation among the authors, committee members, and award winners at the IEEE Visualization (VIS) conference over the last 30 years. Our goal is to provide descriptive data on which diversity discussions and efforts in the community can build. We look in particular at the gender of VIS authors as a proxy for the community at large. We consider measures of overall gender representation among authors, differences in careers, positions in author lists, and collaborations. We found that the proportion of female authors has increased from 9% in the first five years to 22% in the last five years of the conference. Over the years, we found the same representation of women in program committees and slightly more women in organizing committees. Women are less likely to appear in the last author position, but more in the middle positions. In terms of collaboration patterns, female authors tend to collaborate more than expected with other women in the community. All non-gender related data is available on https://osf.io/ydfj4/ and the gender-author matching can be accessed through https://nyu.databrary.org/volume/1301.