GVCdtLab

At GVCdtLab we build digital twins of economies to offer a unique perspective at the confluence of trade and transportation. Currently, we are developing the SLGL dataHub, a digital twin of the bi-national St. Lawrence - Great Lakes region, the third largest economy in the world. We aim to aid decision making by providing real-time visibility into critical global value chains as their resiliency is tested with changing geopolitics and climate change. Using data science to study the networks of trade and transportation, we visualize regional interconnectedness beyond arbitrary geographic boundaries, bringing together disparate sources of data. By mirroring the real-world dynamics of this region, we make complexities induced by globalization more palatable. Our research centers on global value chains, economic clusters, economic complexity and gravity models, all through the lens of digital twins. A CIRANO initiative, GVCdtLab is also a hub for collaboration with actors from the trade and transportation ecosystem.