Resources

A plain-english guide to the Infrastructure Contributions Plan (ICP) evidence challenges for growth area councils in Victoria, Australia.

Forecaz CEO Bradley Rasmussen visited Indooroopilly State High School to present to over ninety Grade 10 and 11 Digital Technology and Geography students, connecting the history of computing to the rise of artificial intelligence and showing students how technology shapes the cities they live in.

Forecaz CEO Bradley Rasmussen presented original research at the BNMA 2025 Conference hosted by the Bayesian Network Modelling Association and the University of Melbourne, showing how combining Bayesian Network models with Machine Learning produces more accurate urban growth forecasts than either method alone.

Forecaz presented at the PIA QLD Conference with Toowoomba Regional Council, showcasing their AI‑Powered Urban Growth Model. The session explored how AI codifies planner knowledge, aligns growth with infrastructure, and supports evidence‑based decisions for sustainable urban development. A great exchange on how AI is reshaping the future of planning in Australia.

Forecaz founder joins Nicole Bennetts on the Hustle & Bustle podcast to explore the future of cities, discussing how AI and data-driven modelling are reshaping urban planning. Discover how Forecaz enables planners to test zoning scenarios, improve accuracy, and connect technology with the realities of policy and funding.

The City of Gold Coast partnered with Forecaz and Griffith University to develop an evidence-based Planning and Urban Growth (PUG) model, aligning with statutory guidelines and official QGSO projections. The model combines Bayesian Networks and Machine Learning to predict parcel-level development, supporting land use analysis, scenario testing, and major infrastructure planning such as the Light Rail extension.