Gender in 30 Years of IEEE Visualization
| Autor: | Natkamon Tovanich, Petra Isenberg, Pierre Dragicevic |
|---|---|
| Přispěvatelé: | IRT SystemX (IRT SystemX), Analysis and Visualization (AVIZ), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Interaction avec l'Humain (IaH), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), IRT SystemX, Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Interaction avec l'Humain (IaH), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Matching (statistics)
Computer science media_common.quotation_subject Scientometry 02 engineering and technology Proxy (climate) Representation (politics) 5. Gender equality 0202 electrical engineering electronic engineering information engineering Computer Graphics Humans [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] media_common Visualization Diversity Descriptive statistics Gender 020207 software engineering Gender studies Exploratory analysis Computer Graphics and Computer-Aided Design Collaboration Signal Processing Publication Female Computer Vision and Pattern Recognition [SHS.GENRE]Humanities and Social Sciences/Gender studies Software Diversity (politics) |
| Zdroj: | IEEE Transactions on Visualization and Computer Graphics IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2022, 28 (1), pp.497-507. ⟨10.1109/TVCG.2021.3114787⟩ IEEE Transactions on Visualization and Computer Graphics, 2022, 28 (1), pp.497-507. ⟨10.1109/TVCG.2021.3114787⟩ |
| ISSN: | 1077-2626 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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