AASP: over 1,000 autistic authors and 3,000 publications
The Autistic Autism Scholarship Project (AASP) now indexes more than 3,000 autism-related scholarly publications authored or co-authored by over 1,000 autistic people.
Hosted on AutiHub, AASP is an international collaborative project providing a freely accessible database of scholarly work on autism with at least one autistic author. Its purpose is to make autistic people’s contributions to knowledge about autism easier to find, consult and study. Readers can browse publications, explore author profiles and examine co-authorship networks.
Daily updates and RSS subscriptions
The database is updated daily, adding newly published work alongside earlier publications identified through ongoing searches and contributions from the community.
To follow new additions, subscribe to the publications RSS feed. RSS is a subscription format that lets you receive website updates automatically in a feed reader, without checking the website manually. A separate authors RSS feed lets you follow newly added author profiles.
An internal tool to help identify relevant publications
With support from Digital Science, we have implemented an internal discovery and monitoring tool using Dimensions, complementing the project’s other bibliographic sources.
The tool searches for autism-related articles containing wording that may indicate autistic authorship. This includes explicit self-identification, collective statements about an authorship team, and positionality statements—passages in which researchers explain how their identities, experiences and perspectives relate to their work. Regular searches identify newly indexed records, which can include both recent articles and older publications.
A search match does not automatically add a publication to AASP or identify anyone as autistic. Human review remains essential: the team checks statements in context and distinguishes autistic authorship from references to autistic participants or other contributors. Statements documenting autistic co-authors without naming them individually can also be considered, without attempting to identify those individuals.
Read more about the approach and its limitations on our Dimensions search methodology page.
Data sourced from Dimensions, an inter-linked research information system provided by Digital Science (https://www.dimensions.ai).