Ellie Kincaid is an editor at Retraction Watch. Her work has appeared in STAT, The Wall Street Journal, Forbes, WebMD and Medscape. She has a B.A. in English from Washington University in St. Louis and an M.A. in journalism from New York University’s Science, Health and Environmental Reporting Program.
Ellie Kincaid
Editor
Retraction Watch
From this contributor
Former Columbia University psychiatrist committed research misconduct, says federal watchdog
Bret Rutherford, whose research was halted following a suicide in a clinical trial, falsely reported participant eligibility, according to the U.S. Office of Research Integrity.
Former Columbia University psychiatrist committed research misconduct, says federal watchdog
Head of company that accredits autism service providers resigns after article retraction
The resignation follows reporting by Spectrum and Retraction Watch in October about nonexistent references in the retracted article.
Head of company that accredits autism service providers resigns after article retraction
Article defending private-equity involvement in autism services retracted
Nearly two-thirds of the article’s references appear to not exist.
Article defending private-equity involvement in autism services retracted
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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.
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.
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.