Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques
Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques
Benefits of linking routine medical records to the GUiNZ longitudinal birth cohort: Childhood injury predictors
Combining self-reported longitudinal cohort data with routine healthcare data can help mitigate the limitations of each data type. Linking these datasets addresses missing data issues, reduces recall and information biases, and validates both data sources.
Using a virtual machine-based machine learning algorithm to obtain comprehensive behavioural information in an in vivo Alzheimer’s disease model
utilising miniscope technology in a murine model of Alzheimer’s disease to characterise correlations between neuronal activity in the CA1 hippocampus, behavioural deficits and amyloid-beta plaque load.
Mapping livability: the “15-minute city” concept for car-dependent districts in Auckland, New Zealand
The research critically examines the potential of micro-mobility options, such as e-scooters and e-bikes, to significantly expand zones deemed ‘livable’ for the study sites.
Quantifying gas narcosis in compressed gas diving
The onset of narcosis symptoms is expected around 30 metres (405 kPa) when breathing air. The principal hazard of gas narcosis is euphoria, overconfidence, and loss of judgment.
Estimating quality of life: a spatial microsimulation model of wellbeing in Aotearoa New Zealand
This research focuses on wellbeing as an indicator of quality of life, we aim to create a nationwide dataset that can be used to understand wellbeing in Aotearoa New Zealand.
Video compression for REACH Lab’s study of family resilience and wellbeing
The REACH Research Group investigates how couples and families can overcome emotional, attachment and relationship difficulties to effectively support each other and resolve conflicts to enhance their health and wellbeing.
Listening to equations: a tool for the audification of heteroclinic networks
Understanding the dynamics near heteroclinic networks is currently an active area of mathematical research, but the focus of the current project is somewhat different.
Accounting for Errors in Data Improves Divergence Time Estimates in Single-cell Cancer Evolution
Reconstruct the phylogenetic history of a colorectal cancer patient and a healthy patient from single-cell DNA sequencing data.
Ahuahu Great Mercury Island Online Database
The Archaeology eResearch Collaboration Initiative (ARCI) is a research group specialising in the management and analysis of data intensive archaeology. In tandem with the Centre for eResearch, we are currently trialling the CollectiveAccess deployment to collaboratively record, manage, and explore archaeological data and metadata relating to the Ahuahu Great Mercury Island project.