Scott is a PhD candidate in Global Governance at the Balsillie School of International Affairs, University of Waterloo, where he studies the role of deep uncertainty in political decision-making. His research investigates the intersection of science and policy in the areas of climate change, infectious disease outbreaks, and artificial intelligence. Scott's dissertation research focuses on the role played by mathematical models as decision-support tools in the governance of catastrophic threats. His work embraces a complex systems ontology, understanding that in order to understand contemporary problems and build solutions, we must examine the non-linear, non-intuitive dynamics of systems.
Before returning to Waterloo, Scott worked as a risk management consultant in Toronto. Previously, Scott received an MA in Global Governance from the Balsillie School of International Affairs, where his research investigated the management of risk and uncertainty by econometric climate change models.