S3E5: Harmonization and Generalization in Big Data, with Dr. Golia Shafiei and Audrey Luo

 In this episode, we chat about using multiple large scale neuroimaging datasets for developmental cognitive neuroscience research. We highlight two exciting recent projects, including the Reproducible Brain Charts database and a foundational study on white matter development. Along the way, we chat about harmonizing multiple datasets, testing in multiple datasets for generalizations, replicability, practical challenges, and more. Matt is joined by two wonderful guests from Dr. Ted Satterthwhaite's lab who are pioneering these momentous efforts - Dr. Golia Shafiei and Audrey Luo

Reach out to our host:

• Matt Mattoni (matt.mattoni@temple.edu)

Connect with our guests:

• Dr. Golia Shafiei: https://bsky.app/profile/goliashf.bsky.social
• Audrey Luo: https://bsky.app/profile/audreycluo.bsky.social 

Connect with us on social media! We are always looking for ideas for episode topics, co-hosts, or guests. @FluxSociety

Key Resources:

• Reproducible Brain Charts
• Two Axes of White Matter Development
• Reproducibilibuddy
• https://reprobrainchart.github.io/