Sandy Keenan edits Viewpoint and news articles for Spectrum. She is a New York-based journalist who has enjoyed a richly varied career — as reporter, editor and newsroom manager — with The New York Times and Newsday. She started out as a sportswriter for the Miami Herald, then moved on to Sports Illustrated and then Newsday, where she transitioned from covering Knicks, Mets and Yankees games on deadline into editing and over to news. She eventually became Newsday‘s assistant managing editor in charge of news, investigations and narrative projects. More recently, with the Times, she served as environment editor, deputy sports editor and a staff writer for the Home & Garden section.
Sandy Keenan
Contributing Editor
Spectrum
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‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
‘Neuroethics: The Implications of Mapping and Changing the Brain,’ an excerpt
In his new book, published today, philosopher Walter Glannon examines the ethics of six areas of neuroscience. In Chapter 4, a portion of which appears below, he tackles the ethical considerations of using brain organoids in research.
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
Teasing out mosaicism cell by cell; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 10 November.
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.
Without monkeys, neuroscience has no future
Research in primate brains has been essential for the development of brain-computer interfaces and artificial neural networks. New funding and policy changes put the future of such advances at risk.