Intersectional observations of the Human Brain Project’s approach to sex and gender
Date
2019-05-13Abstract
Purpose – This paper aims to critically assess approaches to sex and gender in the Human Brain Project
(HBP) as a large ICT project AQ: 1 case study using intersectionality.
Design/methodology/approach – The strategy of the HBP is contextualised within the wider context of
AQ: 2 the representation of women in ICT, and critically reflected upon from an intersectional standpoint.
Findings – The policy underpinning the approach deployed by the HBP in response to these issues parallels
Horizon 2020 wording and emphasises economic outcomes, productivity and value, which aligns with other
“equality” initiatives influenced by neoliberalised versions of feminism.
Research limitations/implications – Limitations include focussing on a single case study, the authors
being funded as part of the Ethics and Society Subproject of the HBP, and the limited temporal period under
consideration.
Social implications – The frameworks underpinning the HBP approach to sex and gender issues present
risks with regard to the further entrenchment of present disparities in the ICT sector, may fail to acknowledge
systemic inequalities and biases and ignore the importance of intersectionality. Shortcomings of the approach
employed by the HBP up to March, 2018 included aspects of each of these risks, and replicated problematic
understandings of sex, gender and diversity.
Originality/value – This paper is the first to use an intersectional approach to issues of sex and gender in
the context of large-scale ICT research. Its value lies in raising awareness, opening a discursive space and
presenting opportunities to consider and reflect upon potential, contextualised intersectional solutions to such
issues.
Description
Citation : Fothergill, B.T., Ulnicane, I., Knight, W., and Stahl, B.C. (2019) Intersectional observations of the Human Brain Project’s approach to sex and gender. Journal of Information, Communication and Ethics in Society, 17 (2), pp. 128-144
ISSN : 1477-996X
Research Institute : Centre for Computing and Social Responsibility (CCSR)
Peer Reviewed : Yes