Centre for eResearch
Data maturity project in High Value Nutrition – National Science Challenge
Dr Dharani Sontam, Yvette Wharton, Professor Mark Gahegan, Centre for eResearch; Dr Simmon Hofstetter, Operations Manager, Professor Richard Mithen, Liggins Institute and Joanne Todd, Challenge Director, High Value Nutrition, National Science ChallengeAbout High-Value Nutrition Ko Ngā Kai Whai Painga
High-Value Nutrition Ko Ngā Kai Whai Painga (HVN) is one of 11 National Science Challenges the Ministry of Business, Innovation and Employment (MBIE) established to tackle New Zealand’s biggest issues and opportunities. It’s mission is “to grow the science excellence and knowledge New Zealand needs to create and deliver food to the world” by building a systems-level understanding of nutrition and health. The mission includes a focus on increasing export revenues from the country’s Food & Beverage sector. To read more, see case studies 2020 and 2021.
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See more case study projects:
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Our Voices: using innovative techniques to collect, analyse and amplify the lived experiences of young people in Aotearoa
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Painting the brain: multiplexed tissue labelling of human brain tissue to facilitate discoveries in neuroanatomy

Detecting anomalous matches in professional sports: a novel approach using advanced anomaly detection techniques
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Benefits of linking routine medical records to the GUiNZ longitudinal birth cohort: Childhood injury predictors
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Using a virtual machine-based machine learning algorithm to obtain comprehensive behavioural information in an in vivo Alzheimer’s disease model
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Mapping livability: the “15-minute city” concept for car-dependent districts in Auckland, New Zealand
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Travelling Heads – Measuring Reproducibility and Repeatability of Magnetic Resonance Imaging in Dementia
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Novel Subject-Specific Method of Visualising Group Differences from Multiple DTI Metrics without Averaging
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Re-assess urban spaces under COVID-19 impact: sensing Auckland social ‘hotspots’ with mobile location data
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Aotearoa New Zealand’s changing coastline – Resilience to Nature’s Challenges (National Science Challenge)
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Proteins under a computational microscope: designing in-silico strategies to understand and develop molecular functionalities in Life Sciences and Engineering
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Coastal image classification and nalysis based on convolutional neural betworks and pattern recognition
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Determinants of translation efficiency in the evolutionarily-divergent protist Trichomonas vaginalis
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Measuring impact of entrepreneurship activities on students’ mindset, capabilities and entrepreneurial intentions
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Using Zebra Finch data and deep learning classification to identify individual bird calls from audio recordings
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Automated measurement of intracranial cerebrospinal fluid volume and outcome after endovascular thrombectomy for ischemic stroke
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Using simple models to explore complex dynamics: A case study of macomona liliana (wedge-shell) and nutrient variations
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Fully coupled thermo-hydro-mechanical modelling of permeability enhancement by the finite element method
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Modelling dual reflux pressure swing adsorption (DR-PSA) units for gas separation in natural gas processing
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Molecular phylogenetics uses genetic data to reconstruct the evolutionary history of individuals, populations or species
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Wandering around the molecular landscape: embracing virtual reality as a research showcasing outreach and teaching tool
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