Shelby Grebbin was Spectrum’s editorial assistant. Before joining Spectrum, she was staff assistant at the Nieman Foundation for Journalism. As a freelance journalist, she has covered stories related to public health, data transparency and prison health care. Shelby has a B.A. in journalism from Emerson College in Boston, Massachusetts.
Shelby Grebbin
Editorial Assistant
From this contributor
Researchers publish new dataset on minimally verbal autistic people
Researchers at the Massachusetts Institute of Technology published the first repository of vocalizations from minimally verbal autistic people. Those with few or no spoken words still produce a range of phonemes, or units of sound, that may serve as developmental markers or intervention targets.
Researchers publish new dataset on minimally verbal autistic people
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Menopause poses significant challenges for autistic people, according to a small survey published in 2020 — the first to explore the transition among people with autism traits.
Autism and menopause: Q&A with Rachel Moseley and Julie Turner-Cobb
Web-based autism screening service raises a host of concerns
Neurona Health, a company in San Francisco, California, backed away from part of its newly launched services after Spectrum started reporting about them.
Web-based autism screening service raises a host of concerns
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How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How to collaborate with AI
To make the best use of LLMs in research, turn your scientific question into a set of concrete, checkable proposals, wire up an automatic scoring loop, and let the AI iterate.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.