NeuroPeople .org

Centring people in neurodivergent research

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This page exists to centre people.

Autistic, ADHD and AuDHD people are frequently the subject of research, yet much of this work continues to prioritise deficit, pathology, or the pursuit of normalisation or cure. This often overlooks the everyday experiences of neurodivergent people, including living, accessing services, communicating, learning, working, and achieving a meaningful quality of life. NeuroPeople curates research that centres lived experience and adopts neurodiversity-informed approaches, prioritising work grounded in real-world needs, access, equity, and improved outcomes.

This page highlights peer-reviewed research that aims to understand and improve people’s lives.

Today's Search Results

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Ordered by publish date (newest first).

Research Focus
ABOUT Purpose, ethos, scope, and selection criteria

What this page includes

    Research centred on:
  • lived experience, quality of life, wellbeing, participation, and equity
  • Access to services and environments, including healthcare, education, employment, housing, and community support
  • Communication, sensory experience, and person-centred practice
  • Service design, service improvement, and accessible pathways of care
  • Supports, adjustments, or interventions with meaningful real-world outcomes
  • Participatory, co-produced, and neurodiversity-informed research approaches

What this page does not include

  • Genetic, molecular, or biochemical mechanisms as the primary focus
  • Neuroimaging or biomarker discovery as the primary focus
  • Animal models or pre-clinical studies
  • Work primarily framed around deficit, normalisation, or cure without clear relevance to lived experience, access, or equity

How the research is selected

This page is updated using an automated process that monitors selected journals and applies transparent inclusion and exclusion criteria to prioritise people-centred, lived-experience research, including work that is relevant to access, equity, and real-world outcomes. The process may miss some relevant work and may include borderline cases.

Articles are not manually checked. Therefore, inclusion does not imply endorsement of methods, conclusions, language, or framing.

This page also includes language framing tags. These indicate the language used in article titles and abstracts (for example, identity-first or person-first language) and are generated automatically. They reflect wording only and do not represent judgements about authors, research quality, or underlying theoretical approaches.

How the automated selection works Plain-language overview for researchers

1) Sources monitored

The updater checks a curated list of journals and retrieves recent article metadata (title, authors, abstract where available, journal, date, DOI and link).

2) Focus areas and keyword matching

Each paper is screened against multiple focus areas (for example, education, employment, housing, justice, technology, community, policy, healthcare). A paper can match more than one focus area.

Matching uses keyword families and related terms rather than a single phrase, to reduce false negatives. Focus areas with (0) indicate that the current automated search has not surfaced matching papers yet.

3) Inclusion and exclusion rules

The process prioritises research that is relevant to lived experience, participation, access, equity, environments, services, supports, adjustments and real-world outcomes. It deprioritises primarily biological mechanism work where lived experience and practical implications are not the focus.

4) Labelling and presentation

Focus areas and language framing tags are added automatically. These are descriptive labels intended to support navigation. They can be imperfect and should be treated as aids, not as definitive classifications.

Transparency note: the search strategy is designed to be open and improvable. If you notice consistent gaps (missing journals, missing focus areas, systematic false positives), please share an example paper and the focus area you expected it to appear under.

Interested in the code? GitHub Repository.