Projects

Applied research highlights

MapAI Urban Futures

Co-designs territory-aware machine learning, digital twin layers, and explainable dashboards that planners use for infrastructure, housing, and precinct strategy.

Spatial AI · Digital twins · Policy-ready tools

Mechanism-aware automation

Extends game theory to modern datasets, producing forecasting systems that surface incentives and fairness when automating land-use or transport decisions.

Mechanism design · Learning · Transparency

Housing Analytics Lab

Helps the NSW Department of Planning pair advanced housing data with affordability metrics through the HAL initiative backed by the Chief Scientist’s grant.

Housing policy · Data storytelling · Evidence

Trustworthy AI governance

Develops protocols for public consultations, documentation, and audit trails so every research pilot meets community and regulatory expectations.

Governance · Ethics · Community engagement

Publications

Writing that codifies impact

Chapter: Designing equitable urban AI (City Futures Research Centre briefing)

Mechanism-aware policy automation (peer-reviewed conference paper)

Spatial intelligence for smart precincts (multi-disciplinary report)

Partners

Collaborative network

Seeks to translate research into action through partnerships across UNSW, government agencies, and civic organisations responding to questions about equitable AI, housing, and urban futures.

City Futures Research Centre · UNSW
MapAI collaborative lab
Housing Analytics Lab (HAL)
NSW Chief Scientist & Engineer
Local and state planning teams