Date: 15:30-17:30 on 28 June 2016
Place: S-519D, Uji Campus, Kyoto University
Topics: Unpacking Child Inequality in the Northern Territory (Australia) Using Data Linkage
Abstract: This talk discusses how publicly available community-level data and confidentialised unit-record information from existing longitudinal, administrative population data-sets can be used to investigate the early life antecedents and contemporary factors associated with educational inequality in the Northern Territory. The recent development of the SA–NT Datalink facility has enabled integration of selected information from separate NT health, education and community datasets. This is being used to investigate policy-relevant questions not previously possible. Two examples of data-linkage analysis are presented to illustrate how such research can advance understanding of the individual, family and community factors associated with patterns of school attendance and NAPLAN achievement.
Dr Peter Shaw is a Senior Lecturer at Charles Darwin University in Australia. Dr Shaw is currently researching in parameterized complexity and has recently published a number of papers in the area of algorithmic techniques for FPT kernelization and application of FPT algorithms to novel statistical technique for the analysis of clinical data. These including: turbo-charing heuristics, iterative compression, greedy localization, crown-rules and LDP problem dual kernalization. His interest include: both theoretical algorithms, applied FPT algorithms and predictive analytics.
Dr Shaw is currently coordinating the Parameterized Compelexity Research Unit at CDU which is a world leader in the development of efficient Fixed Parameter Tractable (FPT) pattern search algorithms and collectively has more than 425 publications.