Clare Harrop is assistant professor of allied health sciences at the University of North Carolina at Chapel Hill.
Clare Harrop
Postdoctoral Fellow
University of North Carolina at Chapel Hill
From this contributor
How to safeguard online data collection against fraud
When autism researcher Clare Harrop tried to recruit survey participants over social media, she received hundreds of fraudulent responses. But there are ways researchers can protect themselves from similar experiences.
How to safeguard online data collection against fraud
Learning when to treat repetitive behaviors in autism
Some restricted and repetitive behaviors may have hidden benefits for people with autism, so scientists should work to find a happy medium between acceptance and change.
Learning when to treat repetitive behaviors in autism
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Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
Links between tuberous sclerosis complex and autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 17 August.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
The fun and flexibility of data science
Taylor Bolt spent his Ph.D. and postdoc digging through brain imaging data for clues to cognition. In industry, the datasets are different but the joy of answering questions with data remains.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.
Mind over metrics: How can we tell if two brains (or AI models) are alike?
The ability to record from large populations of neurons has triggered the development of myriad methods for comparing them. But we’re still grappling with how to convert measures of likeness into a better mechanistic understanding.