Neurodiversity‐Affirming Intersectional Approaches That Target Public Policy: Moving the Focus From Changing Individuals to Changing Systems of Power

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Botha, M., Gillespie-Lynch, K., Giwa Onaiwu, M., Jones, D. R., Kim, S. Y., & Obeid, R. (2025). Neurodiversity‐Affirming Intersectional Approaches That Target Public Policy: Moving the Focus From Changing Individuals to Changing Systems of Power. Journal of Social Issues, 81(4). https://doi.org/10.1111/josi.70042

Publication date: 31 Oct 2025 Added to AutiHub: 5 Jul 2026 Type: Article Article language: English
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Authors

Publication authors
6
Publication authors identified as autistic
2 / 6 (33.3%)
  1. Monique Botha *
  2. Kristen Gillespie-Lynch
  3. Morénike Giwa Onaiwu *
  1. Desiree R. Jones
  2. So Yoon Kim
  3. Rita Obeid

Abstract

ABSTRACT The neurodiversity movement challenges traditional deficit‐oriented models of autism. However, inclusion efforts often prioritize individual attitudinal change over structural reform (e.g., policies and research practices) or exclude Autistic people with intersecting marginalized identities. Just research requires scientific inquiry to challenge the oppressive systems from which it emerges, and can sometimes reinforce, by directly addressing interlocking structures of power. Otherwise, research can fail to serve, and even perpetuate harm against, the most marginalized Neurodivergent people, including those with intellectual disabilities, nonspeaking individuals, and racial, ethnic, and gender minorities who remain underrepresented in broader research and policy generation. This special issue, Using Neurodiversity‐Affirming Intersectional Approaches to Build More Equitable Societies and Shape Public Policy, therefore, seeks to challenge the systems of inequality dominant in autism research by uniting neurodiversity and intersectional frameworks with a focus on policy recommendations. In this introductory article to our special issue, we share the strategies we used to improve representation in our special issue and an overview of the papers in the special issue. We, the guest editors of the special issue, intentionally used our networks to seek contributions from scholars, advocates, and communities traditionally excluded from academic publishing, such as nonspeaking people and those from the Global South. This resulted in a special issue organized into three thematic sections: grounding neurodiversity in intersectionality to improve policy, addressing underrepresentation in research, advocacy, and publishing, and promoting systems‐level and grassroots approaches to wellbeing. Across contributions, authors offer empirical and/or theoretical insights with actionable policy recommendations and demonstrate a range of approaches such as community‐led methods, Open Scholarship practices, and decolonial and critical race frameworks that can shift power, improve measurement and access, and guide equitable resource allocation. Together, we call for a field‐wide pivot from changing individuals to transforming systems, so that justice, participation, and self‐determination are attainable for all neurominorities, especially those at multiply marginalized intersections.

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These indicators describe the cited bibliography imported for this publication. Cited-reference metrics use the cited-reference total as denominator. Cited-author metrics state whether they use all cited-author occurrences or only occurrences linked to authors already integrated in the AutiHub database. They use cached links between cited authors and authors integrated in the AutiHub database. Last computed: 16 Aug 2026 11:30.

Cited references
61
Total cited references integrated for this publication.
Cited references with an identified autistic author
18 / 61 (29.5%)
Cited author occurrences identified as autistic
32 / 134 (23.9%)
Among occurrences linked to AutiHub author records: 32 / 85 (37.6%). Distinct cited authors identified as autistic: 22 / 119 (18.5%).
Cited author occurrences linked to AutiHub author records
85 / 134 (63.4%)
Distinct linked cited authors: 70 / 119 (58.8%)
Linked cited-author occurrences not identified as autistic
53 / 85 (62.4%)
Among linked cited-author occurrences only. Across all cited-author occurrences: 53 / 134 (39.6%). Distinct linked cited authors not identified as autistic: 48 / 70 (68.6%).
2 cited bibliography entries could not be fully enriched from DOI metadata.
Crossref: not found (1) · DataCite: not found (1)
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