Tag: consciousness

Roundtable events.

Sat
May 20th
2017
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Complexity and Emergence II: Visions of Cosmic Order, from Particles to People

This roundtable explores the emergence of complexity and order across scales—from fundamental physical particles to biological systems and human civilization—examining whether recurring principles of combination and integration give rise to distinct levels of organization. It considers how complexity evolves over time, how novel structures and behaviors emerge at different stages of the universe, and what these patterns reveal about the development of matter, life, culture, and consciousness.
Sat
Feb 29th
2020
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How Deep Do We Go? Behavior, Mind, and The 4-Billion-Year History of Life

This roundtable explores the evolutionary and biological roots of consciousness and emotion, drawing on Joseph LeDoux’s work to reconsider how emotions arise from fundamental survival processes rather than pre-formed states. It brings together perspectives from biology, neuroscience, psychiatry, and philosophy to examine how the brain constructs emotional experience and meaning.
Sat
Apr 30th
2022
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Metaphysics

This roundtable examines the evolving relationship between physics, metaphysics, and human knowledge of nature, from classical assumptions to modern challenges posed by quantum theory, language, and cognition. It considers how contemporary science and philosophy are reviving metaphysical inquiry by integrating empirical findings with questions about reality, perception, and consciousness.
Sat
Feb 11th
2023
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The Body and Psychosis

This roundtable explores 4E Cognition—how thought is shaped by the body, environment, social interaction, and extended tools—and what this means for consciousness and shared reality. It examines these ideas through philosophy, psychology, and cases like psychosis, considering how our experience of the world is constructed and maintained.
Sat
Apr 18th
2026
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Medicine and AI

This roundtable examines how AI is transforming medicine, from genomic modeling to clinical tools used in healthcare systems. It focuses on challenges of trust, evidence, and equity, including how to evaluate AI, ensure fairness, and responsibly integrate data-driven decisions into patient care.