Try the science-based emotional intelligence training first developed at Google. Join us online for Search Inside Yourself on October 18.

We take "science based" seriously.


We know you care about delivering programs rooted in the most authoritative research in organizational psychology and neuroscience. And sure, you could be delving into academic texts for hours and extracting the crucial insights. But for those who would rather spend their time elsewhere, SIY Global is here to help. 

At the heart of our mission is a commitment to staying on the cutting edge of science, ensuring our programs are always founded on the latest neuroscience research. 

We've done all the heavy lifting—reading, researching, and consulting with leading experts—so you can get back to what matters most.

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Introducing Search Inside Yourself, version 2.10

This fall, we’re releasing an updated version of our flagship program, Search Inside Yourself. We've poured over countless studies and liaised with premier neuroscientists to ensure you're receiving authoritative, up-to-date information on leadership and emotional intelligence.

By the numbers


studies confirmed as relevant and accurate


studies updated to reflect new research


studies added to bolster program content

Meet the Founding Members of Our Science Advisory Board

We formed the Science Advisory Board in the Spring of 2023 and intend to add a few more members over the coming year. This board will be the experts who will support SIY Global and SIYLI with insights and advice on how to ensure we are staying current with the latest and greatest research on the topics we teach.

Dr. Amishi Jha

Dr. Amishi Jha

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Dr. Ekaterina Denkova

Dr. Ekaterina Denkova

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Jha Lab Collaboration

We're thrilled to partner with the Jha Lab at the University of Miami. Led by Dr. Amishi Jha, the Jha Lab’s research aims to understand: 1) How attention, working memory, and related executive functions exert their influence over information processing in the human brain; 2) Why these functions sometimes fail when we need them most; and 3) How to train them to work better.