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iAL are proud to have hosted another four students over the 2025/2026 summer break, all from the University of Auckland.
Gemma Ngari worked to develop a working prototype of a web app to visualise projections of the total population, working age population, and voting age population across a diverse range of Pacific nations.
Kasish Prasad's work looked at addressing challenges in classifying Pacific ethnic identity in official statistics. This had a particular focus on how statistics about Indo-Fijian populations is collected in New Zealand, Australia, and other countries, including Fiji.
Ken Deng's summer project aimed to improve iNZight software's iNZightRegression package by creating user-friendly tools for verifying model assumptions. Ken developed a comprehensive suite of interactive functions that guide users through checking key regression assumptions, including normality, linearity, multicollinearity and constant variance, combining statistical tests with clear visualisations.
Erena Tanabe's project focused on implementing Bayesian parameter estimation to the iNZight software using analytical methods. This included researching appropriate conjugate priors to use for the types of variables and variable combinations seen when exploring and analysing data, and coding methods for these to perform parameter estimation.
Supporting talented students is an important part of iAL's commitment to building a future applied statistics and data science workforce, and we're looking forward to seeing where these four take their careers