Gender in 30 Years of IEEE Visualization

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 loo...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics Vol. 28; no. 1; pp. 497 - 507
Main Authors: Tovanich, Natkamon, Dragicevic, Pierre, Isenberg, Petra
Format: Journal Article
Language:English
Published: United States IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects:
Cleaning
Collaboration
Computer Graphics
Computer Science
Conferences
Data visualization
diversity
Engineering profession
Female
Gender
Gender issues
Gender studies
Human-Computer Interaction
Humanities and Social Sciences
Humans
Manuals
Representations
scientometry
Visualization
Scientometry
Visualization
Publication
Gender
Collaboration
Diversity
ISSN:1077-2626, 1941-0506, 1941-0506
Online Access:Get full text
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Summary: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.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2021.3114787