Friends and allies: LGBT+ inclusion in statistics and data science

Suzanne Thornton; Brittany Green; Emma Benn

doi:10.1111/j.1740-9713.2019.01280.x

Friends and allies: LGBT+ inclusion in statistics and data science

Suzanne Thornton, Brittany Green, Emma Benn

Research output: Contribution to journal › Comment/debate

3 Scopus citations

Abstract

At a conference last year, Suzanne Thornton, Brittany Green and Emma Benn organised a panel session to share advice and recommendations for making the statistics and data science community more inclusive and supportive of gender non-conforming and LGBTQ persons. Here they summarise their discussion in the hope of continuing the conversation.

Original language	English
Pages (from-to)	39-41
Number of pages	3
Journal	Significance
Volume	16
Issue number	3
DOIs	https://doi.org/10.1111/j.1740-9713.2019.01280.x
State	Published - Jun 2019

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title = "Friends and allies: LGBT+ inclusion in statistics and data science",

abstract = "At a conference last year, Suzanne Thornton, Brittany Green and Emma Benn organised a panel session to share advice and recommendations for making the statistics and data science community more inclusive and supportive of gender non-conforming and LGBTQ persons. Here they summarise their discussion in the hope of continuing the conversation.",

author = "Suzanne Thornton and Brittany Green and Emma Benn",

note = "Publisher Copyright: {\textcopyright} 2019 The Royal Statistical Society",

year = "2019",

month = jun,

doi = "10.1111/j.1740-9713.2019.01280.x",

language = "English",

volume = "16",

pages = "39--41",

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AU - Thornton, Suzanne

AU - Green, Brittany

AU - Benn, Emma

PY - 2019/6

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N2 - At a conference last year, Suzanne Thornton, Brittany Green and Emma Benn organised a panel session to share advice and recommendations for making the statistics and data science community more inclusive and supportive of gender non-conforming and LGBTQ persons. Here they summarise their discussion in the hope of continuing the conversation.

AB - At a conference last year, Suzanne Thornton, Brittany Green and Emma Benn organised a panel session to share advice and recommendations for making the statistics and data science community more inclusive and supportive of gender non-conforming and LGBTQ persons. Here they summarise their discussion in the hope of continuing the conversation.

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U2 - 10.1111/j.1740-9713.2019.01280.x

DO - 10.1111/j.1740-9713.2019.01280.x

M3 - Comment/debate

AN - SCOPUS:85066408530

SN - 1740-9705

VL - 16

SP - 39

EP - 41

JO - Significance

JF - Significance

IS - 3

ER -

Friends and allies: LGBT+ inclusion in statistics and data science

Abstract

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