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Scientific models stand at the heart of discovery. They enable us to conceptualize intricate mechanisms, render complex systems intelligible, and translate empirical observations into coherent explanations. Yet models do far more than merely represent the natural world: they shape what we take reality to be.
This symposium invited a critical examination of that dynamic relationship.
This symposium brought together scholars from chemistry, biology, mathematics, computer science, and philosophy to explore how we construct, interpret, and evaluate scientific models. Across three days of focused discussion, participants examined profound questions at the foundations of scientific practice.



