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 invites a critical examination of that dynamic relationship.
This symposium brings 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 will examine profound questions at the foundations of scientific practice.
Do mathematics and computation function as the natural language of the sciences, or should they be viewed instead as enabling frameworks guiding inquiry? What constitutes a successful model of a chemical or biological phenomenon? How do abstract mathematical, computational, and verbal representations interface with empirical experimental work? And can we identify principled ways of navigating among these diverse modes of reasoning?

