For the G7 to succeed in its mission, it is critically important that member nations follow through with the commitments that they make. An interactive AI-based tool that determines the probability of each member nation meeting its commitments may improve the efficacy of the G7.
With the surge in bicycle use over the course of the COVID-19 pandemic, municipalities around the world are experiencing a unique opportunity to transform urban spaces to be more cyclist-friendly.
As cities recover from the COVID-19 pandemic, there is a pressing need for fare-dependent transit agencies to have access to a reliable forecast of post-pandemic ridership recovery. This article walks through the creation of such a forecast using machine learning.
As nations around the world seek to adopt sustainable methods of energy production, determining which energy source is best suited to the task is crucial as major investments made now will impact energy generation for several decades to come.
It is often claimed that the Canadian housing supply is not keeping up with population growth. Under analysis of Canada Mortgage and Housing Corporation (CMHC) data, however, this effect is not so clear-cut.