Data Reporter
Jaclyn Jeffrey-Wilensky analyzes data and writes data-driven news stories for Spectrum.
Prior to joining the Spectrum team, she covered health, science and general news for the Daily Beast, NBC News MACH, Gothamist and other publications. She has an M.A. from the Craig Newmark Graduate School of Journalism at the City University of New York, where she studied data journalism and health and science reporting.
So-called ‘baby sibs’ watch adults’ faces just as much as children without autistic siblings do, but they don’t understand spoken language as well.
More autistic women and girls report daily pain than do men and boys with the condition.
See autism research results distilled into simple visualizations, along with eye-opening statistics and datasets.
Applied behavior analysis is the most widely used therapy for autistic children in the United States, but some regions lack the staff needed to provide it.
About 1.8 percent of schoolchildren in England are autistic, and the prevalence is highest among Black children, at about 2.1 percent.
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
Live cell imaging reveals the clearest picture yet of this elusive process. Whether it’s something these cells do regularly remains up for debate.
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
She discusses how verbal thought shapes cognition, why inner speech is foundational to human intelligence and what current artificial-intelligence models get wrong about language.
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.
To gain insight into complex neural data, we must move toward a data-driven regime, training large models on vast amounts of information. We asked nine experts on computational neuroscience and neural data analysis to weigh in.