An Interdisciplinary Panel of Scientists Discuss Trans- and Gender-Nonconforming-Inclusion in STEM

In June 2024, the American Statistical Association (ASA) LGBTQ+ Advocacy Committee hosted a webinar on “An Interdisciplinary Look at Trans and Gender-non-conforming Inclusion in STEM”. The webinar consisted of three presentations that approached inclusion in STEM via different viewpoints and concluded with a panel discussion. This article provides the panelists with more space to reflect upon the questions that were asked. It is the ASA LGBTQ+ Advocacy Committee’s hope that with increased awareness and understanding around SOGISC (Sexual orientation, gender identity, and sex characteristics) data, assumptions that impact data collection, data analysis, and the representation of such data as well as the treatment of the individuals who willingly identify themselves as minorities, will be reexamined.

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Publication Details

Journal
CHANCE
Published
2024-10-01
DOI
https://doi.org/10.1080/09332480.2024.2434441
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
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article

An Interdisciplinary Panel of Scientists Discuss Trans- and Gender-Nonconforming-Inclusion in STEM

Suzanne Thornton, Stephen Parry, Maggie Delano, Sara Lipshutz
CHANCE
Career Development and Diversity
article

An Interdisciplinary Panel of Scientists Discuss Trans- and Gender-Nonconforming-Inclusion in STEM

Suzanne Thornton, Stephen Parry, Maggie Delano, Sara Lipshutz
article en

Abstract

In June 2024, the American Statistical Association (ASA) LGBTQ+ Advocacy Committee hosted a webinar on “An Interdisciplinary Look at Trans and Gender-non-conforming Inclusion in STEM”. The webinar consisted of three presentations that approached inclusion in STEM via different viewpoints and concluded with a panel discussion. This article provides the panelists with more space to reflect upon the questions that were asked. It is the ASA LGBTQ+ Advocacy Committee’s hope that with increased awareness and understanding around SOGISC (Sexual orientation, gender identity, and sex characteristics) data, assumptions that impact data collection, data analysis, and the representation of such data as well as the treatment of the individuals who willingly identify themselves as minorities, will be reexamined.

CHANCEVol. 37(4)
Thornton Tomasetti (United States) (US)
Reduced inequalities
Openalex Percentile: Top 73%
Career Development and Diversity
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