Redefining economic competitiveness with data science
Digital twin thinking
Closing evidence gaps in economic and transportation analysis and policy
Bridging domains
Connecting international trade research with the engineering of transportation systems
Spatial intelligence
Uncovering patterns in economic activity with machine learning and spatial analysis
Systemic visibility
Tracing how local economic activity scales up into regional and cross-border trade networks
New metrics
Generating new measures of competitiveness and performance from integrated datasets
Evidence-driven impact
Turning rigorous research into actionable insights for infrastructure investment, policy design and supply chain optimization
The St. Lawrence – Great Lakes is where the economies of Canada and the U.S. converge
Canadian provinces
U.S. states
population in 2024
modes of transportation
GDP in 2024
Research-based solutions for evidence-driven decision making with the SLGL dataHub
Spatial analysis
Dynamically mapping trade flows with transportation infrastructure and industrial clusters
Network analysis
Measuring how changing water levels affects the movement of ships in the St. Lawrence Seaway
