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The resignation follows reporting by Spectrum and Retraction Watch in October about nonexistent references in the retracted article.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 2 December.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Novel neurons upend ‘yin-yang’ model of hunger, satiety in brain
The new type of leptin-sensitive cells curb hunger quickly—adding to an increasingly complex picture of brain circuits that control feeding behaviors.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.
Imagining the ultimate systems neuroscience paper
A growing body of papers on systems neuroscience and on giant simulations of neural circuits involves data beyond the point that anyone can reasonably understand end to end. Looking ahead, “paper-bots” could solve that problem.