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  • Item type:Publication,
    Who am I, and who are you, and who are we? A Scientometric Analysis of Gender and Geography in HCI
    (2022)
    McKay, D.
    ;
    Zhang, H.
    ;
    Buchanan, G.
    Conference authorship, attendance and presentation is a key measure of quality in the HCI academic, yet we know conferences are not equally accessible for reasons that have nothing to do with quality. In this paper we examine two axes of diversity: gender, and geographic location (of both authors and conferences) and examine how they affect participation at major HCI conferences. Diversity in a group is associated with better outcomes from its work, and HCI has made numerous contributions to increasing representation in other communities. Reflecting on our own situation can produce recommendations for the planning of future HCI conferences, and identify challenges of representation that the HCI community should endeavor to address. © 2022 ACM.
  • Item type:Publication,
    Gender in 30 Years of IEEE Visualization Open PDF 
    (2022)
    Tovanich, N.
    ;
    Dragicevic, P.
    ;
    Isenberg, P.
    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. © 1995-2012 IEEE.