Alaina G. Levine is a professional speaker, STEM career coach and author of “Networking for Nerds” (Wiley) and “Create Your Unicorn Career!” (forthcoming). Her columns have appeared in Science, APS News and Physics Today. Connect with her on LinkedIn @AlainaGLevine.

Alaina G. Levine
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From this contributor
Building a global community: Q&A with Black In Neuro co-founder Clíona Kelly
As Black In Neuro Week 2024 continues through Sunday, Kelly explains how the organization expanded from its humble beginnings as a Slack channel to connect Black neuroscientists across the diaspora.

Building a global community: Q&A with Black In Neuro co-founder Clíona Kelly
The Transmitter Launch: Q&A with Kaitlyn Casimo
A self-proclaimed “neuroscientist, engagement manager and theater nerd,” Casimo taps her broad training to engage the public and deliver “elevator pitch” workshops for Allen Institute scientists.

The Transmitter Launch: Q&A with Kaitlyn Casimo
The Transmitter Launch: Networking in neuroscience—five ways to find people
These tips spell out how to reach new people for conversation and collaboration.

The Transmitter Launch: Networking in neuroscience—five ways to find people
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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.