Roald Øien is professor of special education and developmental psychology at the Arctic University of Norway and adjunct assistant professor at the Yale Child Study Center.
Roald Øien
Professor
Arctic University of Norway and Yale Child Study Center
From this contributor
Journal Club: Meta-analysis oversells popular autism screen
The Modified Checklist for Autism in Toddlers (M-CHAT) accurately flags autistic toddlers, a new systematic review and meta-analysis suggests, contrary to past evidence that the tool’s validity varies depending on a child’s age and traits. Experts weigh in on the discrepancy.
Journal Club: Meta-analysis oversells popular autism screen
By
Spectrum
14 March 2023 | 5 min read
Reimagining autism screening: A conversation with Roald Øien
The questionnaires used to screen for autism are far from perfect, and tweaking them may not be enough. Roald Øien wants researchers to find better solutions.
Reimagining autism screening: A conversation with Roald Øien
By
Laura Dattaro
21 December 2021 | 6 min read
Explore more from The Transmitter
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
Leucovorin saga, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 15 June.
By
Jill Adams
16 June 2026 | 2 min read
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
Models at the speed of thought: How AI coding is reshaping theoretical neuroscience
Agentic coding makes it possible to specify a neuroscience model in hours instead of months. Six neuroscientists weigh in on what that tectonic change may bring to the field.
By
Brian DePasquale
16 June 2026 | 17 min read
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
Writing science that humans and machines can read
Large language models are now routinely used to search, summarize and synthesize the literature at scales impossible for any individual researcher—yet scientific publishing has not adapted to that reality.
By
Rachel Parkinson
15 June 2026 | 7 min read