About

Artificial intelligence (AI) and machine learning are rapidly transforming the real estate finance and economics landscape. AI algorithms can analyze complex datasets from market trends and property specifics to buyer behaviors and economic indicators. Such tools offer significant benefits, including enhanced data-driven decision-making, more accurate predictive analytics, and improved operational efficiency in real estate. As AI-driven insights reshape how properties are valued, developed, and traded, understanding their impact has become a crucial frontier for research in real estate.

In light of these advances, the 2nd AI in Finance Conference will feature a dedicated AI and Real Estate program on its third day. This special program aims to bring together leading academics and practitioners to explore cutting-edge research at the intersection of AI and real estate markets. We especially encourage work that bridges methodological innovations in AI/ML with applications in real estate finance and urban economics. The AI and Real Estate program will feature a keynote address by Professor Thies Lindenthal (University of Cambridge) followed by an industry-academic panel, and presentations of selected papers, fostering dialogue on how advanced analytics (e.g. deep learning, natural language processing, computer vision, geospatial data) are generating new insights in property valuation, investment strategy, sustainability, urban planning, and beyond.

Call for Papers

We invite submissions of full papers or extended abstracts presenting theoretical or empirical research at the frontiers of AI and real estate, including but not limited to:

• AI-driven property valuation and appraisal models
• Machine learning for real estate market forecasting and trend analysis
• AI applications in real estate development and land use planning
• AI in real estate investment and portfolio management
• AI for sustainable real estate and climate risk assessment
• Urban analytics and smart-city applications in real estate
• Natural language processing and large language models for real estate market analysis
• Computer vision and geospatial analysis for property and neighborhood insights
• AI-driven demand for real estate: Data centers and infrastructure
• Ethics, fairness, and regulatory challenges in AI-driven real estate

Paper Submission

Conference Fees

Conference Fee for the AI in Real Estate Program (October 30, 2025 – 1 Day): CAD 400 (approximately EUR 270 / USD 300) — includes meals, social program, gala dinner, and conference materials.