Our Voices
Project Description:In a world of rapid change, the Our Voice longitudinal project charts the journeys of over 6,000 Kiwi children, beginning before birth and spanning into adulthood. Its comprehensive dataset delves into...
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Stoat Re-Identification with Vision Language Models
Project Description: Stoats pose a relentless threat to Waiheke Island’s native wildlife, their predatory prowess devastating populations of ground-nesting birds like the dotterel, ōi (grey-faced petrel), and kororā...
Read MoreHandling Extreme Rainfull using Machine Learning
Project Description: Communities are grappling with the devastating consequences of extreme rainfall. From flooded homes and shattered infrastructure to lost livelihoods and widening social inequities, these events leave lasting...
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Machine Learning for social good in a New Zealand: Current and future
This project aims to explore, compare, contrast and design engagement approaches for transdisciplinary social good projects specifically tailored to the unique context of New Zealand. This project offers a valuable opportunity to delve into the field of ML for Social Good, culminating in a comprehensive study on current and future approaches for utilizing machine learning to address societal challenges. Our project focuses on examining how machine…
Read MoreMachine Learning for Social Good in Health: Automated Machine Learning for early prediction of acute pancreatitis severity
Acute pancreatitis is a complex condition with varying degrees of severity, and accurate prediction plays a crucial role in guiding timely interventions and improving patient outcomes. Our project focuses on developing an automated machine learning system capable of predicting the severity of acute pancreatitis at an early stage. Early identification of severe cases can lead to timely interventions and improved patient management. Previous approaches…
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