AI and real estate
We study how digital data can make real estate markets more transparent. Using listings, building-level information, company data and market signals, we analyse how technology, amenities and changing preferences shape urban development.
Real estate markets are still shaped by fragmented, incomplete and unevenly shared information. This project looks at how digital data can make those markets easier to understand, from housing preferences and office rents to property technology and commercial transactions.
We use online listings, building descriptions, company databases, platform data and interviews with practitioners. Together, they show patterns that are often missing from traditional registries.
The focus is on what actually changes value and behaviour. Which features matter? How do flexibility, sustainability and location interact? Where do digital tools reduce friction, and where does poor data quality slow the market down?
The aim is practical evidence for more transparent real estate markets, better urban planning and more informed investment and policy decisions.
