The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the h ....The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the household structure and other groups and social networks. The improved ability to assess the impact of these factors will have economic and social benefits. These benefits will arise from improved analysis leading to better decisions and improvements in the design of research studies improving their cost efficiency.Read moreRead less
Market segmentation methodology: attacking the 'Too Hard' basket. Businesses embrace market segmentation to identify and target clients. However, poor segmentation analysis leads to poor segment choice. This project will develop tools to improve segmentation analysis and will test the resulting tools in tourism, foster care and climate change mitigating behaviours, and produce usable, transferable recommendations.
Genomic selection: a new frontier for higher rates of genetic gain in wheat. The historical rates of genetic gain in wheat production are insufficient to meet the world's future needs for wheat-based food. Genomic selection (GS) is the most likely candidate tool that is capable of delivering the required level of genetic gain. This project will develop data-sets and statistical methods to implement GS in wheat.