Applied Statistics and Public Policy Analysis

Description

Applied Statistics and Public Policy Analysis conference will be held at Charles Sturt University in Wagga Wagga, NSW on 11-12 December 2014.

Applied statistics plays a vital role in the analysis and evaluation of public policies in various fields including social sciences, economics, health sciences, population studies etc. On the other hand, with society apparently expecting more and more from all three levels of government; it becomes increasingly important that public policy should be based on reliable and up-to-date data that covers the important issues. This conference aims to promote research collaborations and exchange ideas between applied statisticians who will detail the latest innovations in research to gather and disseminate information, and from public policy analysts who will describe how they use existing information and indicate areas in which there need to be statistical developments. Another aim is to establish connections between researchers at tertiary institutions and working in industry in Australia and overseas. This conference is sponsored by Australian Mathematical Sciences Institute (AMSI) and Charles Sturt University (CSU).

Topics of interest cover all aspects of applied statistics and public policy analysis methods. This may include, but it is not limited to social statistics, small area estimation, microsimulation modelling, health statistics, Bayesian modelling, sample surveys/methodology, computational statistics, multivariate statistics, data science including microdata analysis, spatial statistics, natural resources management and ecological sustainability, business statistics and forecasting, social capital, social inclusion and economic indices, socio-economic policy development - including the Aboriginal issues and policy research, etc.

The theme of ASPPAC'14 is "Reliable data and good public policy through the use of Statistics".

Keynote speakers:

Professor Matthew Gray, Australian National University 
Professor Peter Davis, University of Auckland
Professor Laurie Brown, University of Canberra
Prof Catherine D’este, Australian National University
Professor You-Gan Wang, University of Queensland