Elissa Ball is a former data analysis intern for Spectrum. Prior to coming here, she worked in the Yonkers Public Library and as a tutor for Kaplan Test Prep. She earned a bachelor’s degree in anthropology, with a minor in mechanical engineering, from the University of Pennsylvania, in Philadelphia.
Elissa Ball
From this contributor
Why autism training for police isn’t enough
Inconsistent and underfunded training programs may hurt more than they help, experts say.
Why autism training for police isn’t enough
Autistic and non-autistic youth get different healthcare as they age
Young people with autism receive more mental health services, more consistent primary care and less gynecological or urgent care than their neurotypical peers.
Autistic and non-autistic youth get different healthcare as they age
Almost one-third of autistic children in the United States live in poverty
Children younger than age 5 and Black and Hispanic children on the spectrum experience the most financial hardships.
Almost one-third of autistic children in the United States live in poverty
Explore more from The Transmitter
Leucovorin saga, and more
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.