Discover the range of innovative research and software produced by the Environmental Informatics Hub.
This project will develop an AI tool that finds ways to design better experiments and generate explainable predictions using eXplainable AI (XAI) methods.
This project develops an interactive planning tool that combines multi-objective optimisation with visual analytics to help planners explore trade-offs between energy production and bird conservation.
This project aims to generate high-resolution precipitation data by integrating multiple complementary data sources, leveraging their respective strengths to produce more accurate and spatially consistent rainfall estimates across Australia.
This project assesses the impact of differently coloured bee monitors on honeybee flower visitation behaviour.
This project develops ReefPairs, a non-invasive, AI-assisted web application that uses underwater imagery to identify Blue-Lined Rabbitfish and monitor their long-term pair bonds as indicators of reef health under climate stress.