The science of the “self” — explained by a biologist | Michael Levin

How do “you” emerge from a collection of cells? A biologist explains.

This interview is an episode from @The-Well our publication about ideas that inspire a life well-lived, created with the @JohnTempletonFoundation .

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The concept of the “self” has long been considered philosophically significant: a foundation for exploring who we are and why we’re here. But where does the self begin?

Developmental biologist Michael Levin explores this question, explaining how the “self” is constantly being constructed and created, starting in the early moments of embryogenesis.

Levin argues against binary categorizations of selfhood, emphasizing that it is a continuous phenomenon with no sharp lines between different stages of development. Using the example of self-organizing cells in the formation of the embryo, Levin also asserts that the self is not a singular entity — rather, it is a collection of structures working together toward a specific goal.

Read the video transcript ► https://bigthink.com/the-well/the-science-of-the-self/?utm_source=youtube&utm_medium=video&utm_campaign=youtube_description

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About Michael Levin:
Michael Levin is a developmental and synthetic biologist at Tufts University, where he is the Vannevar Bush Distinguished Professor and serves as director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology.

Prior to college, Michael Levin worked as a software engineer and independent contractor in the field of scientific computing. He attended Tufts University, interested in artificial intelligence and unconventional computation. To explore the algorithms by which the biological world implemented complex adaptive behavior, he got dual B.S. degrees, in CS and in Biology and then received a PhD from Harvard University.

He led an independent laboratory from 2000 to 2007 at Forsyth Institute, Harvard. Now, his lab at Tufts studies anatomical and behavioral decision-making at multiple scales of biological, artificial, and hybrid systems.

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