Peter Shaw 教授 招待講演会:「Unpacking Child Inequality in the Northern Territory (Australia) Using Data Linkage」

  • 講義情報
開催期間 2016.06.28  15:30 ~ 17:30
場所 京都大学宇治キャンパス 宇治地区研究所本館 S-519D
Peter Shaw チャールズ・ダーウィン大学教授の招待講演会 「Unpacking Child Inequality in the Northern Territory (Australia) Using Data Linkage」 を開催いたします。詳細は以下のとおりです。

開催日時: 2016年6月28日 15:30-17:30
開催場所:京都大学宇治キャンパス 宇治地区研究所本館 S-519D
講演者: Peter Shaw チャールズ・ダーウィン大学教授(オーストラリア)
「Unpacking Child Inequality in the Northern Territory (Australia) Using Data Linkage」
 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.