Imagining a Neuroqueer Technoscience

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Rauchberg, J. S. (2022). Imagining a Neuroqueer Technoscience. Studies in Social Justice, 16(2), 370-388. https://doi.org/10.26522/ssj.v16i2.3415

Publication date: 11 Mar 2022 Added to AutiHub: 18 Oct 2026 Type: Article Article language: English
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Authors

Publication authors
1
Publication authors identified as autistic
1 / 1 (100.0%)
  1. Jessica Sage Rauchberg *

Abstract

The rise of mobile communication applications and technologies presents promising therapeutic and accessibility-related interventions for neurodivergent users. However, top-down approaches in human-computer interaction (HCI) research often prioritize the needs and goals of allistic and neurotypical researchers and secondary stakeholders in media creation. Furthermore, media technologies are created with a one-size-fits-all approach, with the intent of rehabilitating or curing neurodivergent ways of being. This article imagines neuroqueer technoscience as an extension of crip technoscience that amplifies new styles of relationality, self-expression, and communication practices within the development of information and communication technologies (ICTs). Using an interdisciplinary framework informed by crip technoscience and human-computer interaction research, the author presents three tenets for mediating neuroqueer subjectivities.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 27 Oct 2026 10:35.

Cited references
43
With a DOI
33
Without a DOI, from raw bibliography text
0
8 / 43 (18.6%) cited references include at least one author identified as autistic.
References with data to complete
2 / 43 (4.7%)
References with detected author names
41 / 43 (95.3%)
Without detected author names
2
Without a structured title
0
Without a stable identifier
0
References with raw author names still to review
0
References with external metadata lookup issues
3
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
76
From DOI or external metadata
76
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
0
17 / 76 (22.4%) names are linked to an author already present in AutiHub. 59 / 76 (77.6%) names are not yet linked.
Names linked to a person identified as autistic
8 / 76 (10.5%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 8 / 17 (47.1%). Distinct people identified as autistic: 4 / 68 (5.9%).
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