Défi i3C: When a predictive data model helps real estate investment

For the second edition of Défi i3C, Ivanhoé Cambridge recognized the work of three students from HEC Montréal and Polytechnique Montréal whose predictive data science model helped identify the asset classes that are most resilient to the rise of hybrid work and, conversely, those most affected by this new work habit.


The spread of remote work has profoundly transformed the world of work and lifestyles. This structural trend, now firmly established in companies, has also had a major impact on the property market, with a fall in office space take-up, higher vacancy rates, migration to the suburbs and a move away from city centres. Against this backdrop, how does hybrid work influence the dynamics of cities of tomorrow? What are the strategic implications for real estate investors and several types of property? These were the questions posed to seven university teams in the second edition of Défi i3C, organized by Ivanhoé Cambridge.

You can now read the full press release at the link below