A team of researchers from the Queen’s Economics Department is behind the economic projections for the $2.4 million Looking Glass project funded by Canada’s Digital Technology Supercluster that will bring together state of the art economic and epidemiological modeling into an online policy analysis dashboard. The objective is to allow decision makers to explore both the projected health and economic impacts of alternative lockdown and recovery policies.
The project represents a collaboration between epidemiologists from the Queen’s Mathematics Department, economists from the Queen’s Economics Department and Limestone Analytics, and industry partners Kings Distributed Systems, aiSight, and Distributed Compute Labs. At the heart of the economic analysis behind the project is an economic model developed by members of the QED and Limestone Analytics including Professors Huw Lloyd-Ellis, Christopher Cotton, and Bahman Kashi, along with Ph.D. candidate Frederic Temblay and researcher Brett Crowley.
For more information on the supercluster grant, please visit the supercluster site:
For more information on the economic model, please see the academic working paper.