Elizabeth Preston is a science writer and editor in the Boston area. She has written for The Atlantic, Wired, Jezebel and the Boston Globe, among other publications. Her blog, Inkfish, is published by Discover.
Elizabeth Preston
From this contributor
Test paints quick picture of intelligence in autism
A picture-based test is a fast and flexible way to assess intelligence in large studies of people with autism.
Test paints quick picture of intelligence in autism
New atlases chart early brain growth in monkeys
A collection of brain scans from monkeys aged 2 weeks to 12 months reveals how their brain structures and nerve tracts develop over time.
New atlases chart early brain growth in monkeys
Work in progress: An inside look at autism’s job boom
Splashy corporate initiatives aim to hire people with autism, but finding and keeping work is still a struggle for those on the spectrum. Can virtual avatars and for-profit startups help?
Work in progress: An inside look at autism’s job boom
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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.