Neuroscience from a Data Scientist's Perspect...

Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Show more

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Show more

The intersection between cutting-edge neuroscience and the emerging field of network science has been growing tremendously over the past decade. Olaf Sporns, editor of Network Neuroscience, and Distinguished Professor, Provost Professor of Department of Psychological and Brain Sc ...  Show more

Découvrez le livre NEUROSAPIENS ! 

Pour apprendre à créer rapidement et à moindre coût son podcast, c'est par ici ! 

Dans cet épisode, je vais vous p ...

“Big data” and “data science” are terms we hear more and more these days. The idea that we can use these vast amounts of information to understand and analyse phenomena, and find solutions to problems, is gaining prominence, both in business and academia. Cathie Sudlow, Professor ...  Show more

This episode is a discussion with Dr. Jennifer Koop about pediatric neuropsychology. Topics covered include a brief history of the subspecialty of pediatric neuropsychology, the importance of involving neuropsychologists in the care of children, common practi ...