Ari Ne’eman
President and Co-founder
Autistic Self Advocacy Network
From this contributor
How governments should maintain disability services during the pandemic
People with disabilities are at increased risk of medical and other complications from coronavirus infection. There is a lot that governments can do to help them.
How governments should maintain disability services during the pandemic
Questions for Ari Ne’eman: Partnering with participants
Autistic adults should be partners in the research process, not just ‘subjects’ in a study, says Ari Ne’eman.
Questions for Ari Ne’eman: Partnering with participants
Will new DSM-5 autism criteria impact services?
The newest edition of the Diagnostic and Statistical Manual of Mental Disorders is an imperfect document, but it is far from the calamity that many have accused it of being, says Ari Ne’eman.
Explore more from The Transmitter
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Sharing Africa’s brain data: Q&A with Amadi Ihunwo
These data are “virtually mandatory” to advance neuroscience, says Ihunwo, a co-investigator of the Brain Research International Data Governance & Exchange (BRIDGE) initiative, which seeks to develop a global framework for sharing, using and protecting neuroscience data.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
Cortical structures in infants linked to future language skills; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 19 May.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.
The BabyLM Challenge: In search of more efficient learning algorithms, researchers look to infants
A competition that trains language models on relatively small datasets of words, closer in size to what a child hears up to age 13, seeks solutions to some of the major challenges of today’s large language models.