Drew Humphreys

| Machine learning insights for team effectiveness

🇺🇸United States1 talk · 1 event1 with video

About

Drew Humphreys explores how machine learning can inform the way we build and lead more effective teams. Drawing on computational approaches to understanding human behavior, he examines patterns that distinguish high-performing groups from those that struggle to collaborate. At Duke University, Drew Humphreys has developed insights into team dynamics through a data-driven lens.

His work bridges the gap between algorithmic thinking and practical leadership, showing audiences how lessons from machine learning can translate into actionable strategies for improving collaboration, communication, and collective performance. His TED 2018 presentation introduced these concepts to a global audience, demonstrating how computational methods can reveal non-obvious principles about human teamwork. His approach offers organizations a fresh perspective on team building - one grounded in pattern recognition and systematic analysis rather than conventional wisdom alone.

For leaders looking to move beyond intuition and apply more rigorous frameworks to their people strategies, Drew Humphreys provides both the conceptual foundation and practical applications.

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What Drew Talks About

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How machine learning can teach us to build more effective teams

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Data-driven approaches to understanding team dynamics

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Applying computational thinking to leadership and collaboration

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Pattern recognition in high-performing teams

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Bridging technology and human behavior in organizational settings

At a Glance

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