Lindsay Shea is director of the Policy and Analytics Center at the A.J. Drexel Autism Institute at Drexel University in Philadelphia, Pennsylvania. She is also interim leader of the institute’s Life Course Outcomes Research Program. She focuses on research that is conducted in partnership with and that directly impacts communities and policymakers.
Lindsay Shea
Director, Policy and Analytics Center
A.J. Drexel Autism Institute
From this contributor
Pitfalls in using autism claims data: Q&A with Lindsay Shea
Insurance claims data are useful for autism research, but the field needs to standardize how they are mined, Shea says.
Pitfalls in using autism claims data: Q&A with Lindsay Shea
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Neurophysiology data-sharing system faces funding cliff
After the primary grant supporting Neurodata Without Borders ends in March 2026, the platform may no longer be maintained or kept up to date.
Neurophysiology data-sharing system faces funding cliff
After the primary grant supporting Neurodata Without Borders ends in March 2026, the platform may no longer be maintained or kept up to date.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
A change at the top of SfN as neuroscientists gather in San Diego
Kevin B. Marvel, longtime head of the American Astronomical Society, will lead the Society for Neuroscience after a year of uncertainty in the neuroscience field.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.
How will neuroscience training need to change in the future?
Training in computational neuroscience, data science and statistics will need to expand, say many of the scientists we surveyed. But that must be balanced with a more traditional grounding in the scientific method and critical thinking. Researchers noted that funding concerns will also affect training, especially for people from underrepresented groups.