Drivers of ageing and adaptive ageing in middle-aged and older adults. This project aims to answer crucial questions about how our early years influence our health and wellbeing in middle and later life. Drawing on one of Australia’s longest running studies of social and emotional development, we link decades of developmental data collected since 1983 to social, emotional, cognitive and physical wellbeing in participants turning 40 (midlife) and 70 (later life). It will provide insight into impo ....Drivers of ageing and adaptive ageing in middle-aged and older adults. This project aims to answer crucial questions about how our early years influence our health and wellbeing in middle and later life. Drawing on one of Australia’s longest running studies of social and emotional development, we link decades of developmental data collected since 1983 to social, emotional, cognitive and physical wellbeing in participants turning 40 (midlife) and 70 (later life). It will provide insight into important and largely unanswered questions about the way social factors in the first half of life shape our later selves. This study will inform government and health policy targeting ageing populations.
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Life Expectancy among Disease-Diagnosed. This project aims to improve methodological tools for calculating life expectancy for populations with mental or physical disorders in Australia as well as to determine gains and losses in terms of excess mortality. To achieve this goal innovative measures, which solve methodological previous shortcoming regarding different age at diagnosis will be applied. The expected outcomes of the project include precise figures of excess mortality related to mental ....Life Expectancy among Disease-Diagnosed. This project aims to improve methodological tools for calculating life expectancy for populations with mental or physical disorders in Australia as well as to determine gains and losses in terms of excess mortality. To achieve this goal innovative measures, which solve methodological previous shortcoming regarding different age at diagnosis will be applied. The expected outcomes of the project include precise figures of excess mortality related to mental and physical disorders. Significant benefits for future public policy-making will be gained by analysing excess mortality among individuals diagnosed mental or physical disorders, and cross-country comparisons using national linkage data. Read moreRead less
Families with multiple and complex needs: refocusing on early intervention. Families with multiple and complex needs have been determined to be a priority group in Australia (National Child Protection Framework 2021-31). This study will fill the evidence gap by determining the typologies of families with multiple and complex needs and child protection involvement who face intersecting risk factors (e.g. family violence, mental health, intergenerational trauma, alcohol/drug use, justice involveme ....Families with multiple and complex needs: refocusing on early intervention. Families with multiple and complex needs have been determined to be a priority group in Australia (National Child Protection Framework 2021-31). This study will fill the evidence gap by determining the typologies of families with multiple and complex needs and child protection involvement who face intersecting risk factors (e.g. family violence, mental health, intergenerational trauma, alcohol/drug use, justice involvement, disability, poverty and housing insecurity). Intergenerational (child and parent) linked data in three states will be utilised to investigate these families longitudinal trajectories of system involvement and to identify opportunities for enhanced prevention, points of early intervention and service planning. Read moreRead less
Humanitarian migrants' settlement in Australia: A longitudinal study. Current evidence suggests that humanitarian migrants settle less successfully than other immigrants both economically and socially. This project aims to examine the causal mechanisms and pathways to economic, sociocultural and political settlement outcomes of humanitarian migrants to Australia. This project expects to generate new knowledge in the area of humanitarian migrants’ settlement by using nationally representative dat ....Humanitarian migrants' settlement in Australia: A longitudinal study. Current evidence suggests that humanitarian migrants settle less successfully than other immigrants both economically and socially. This project aims to examine the causal mechanisms and pathways to economic, sociocultural and political settlement outcomes of humanitarian migrants to Australia. This project expects to generate new knowledge in the area of humanitarian migrants’ settlement by using nationally representative data and cutting-edge longitudinal techniques.Expected outcomes include enhanced research capacity in causal methods, interdisciplinary and institutional collaborations, and evidence-based social policy for humanitarian migrants, significantly benefitting humanitarian migrants directly and society more broadly. Read moreRead less
Understanding Ageism in Australia. Ageism refers to stereotypes, prejudice and discrimination towards people based on their age. This project aims to generate new knowledge in relation to older Australians’ experiences of ageism by conducting a population-based survey of ageism and examining its links with mental health and wellbeing. The project will also use intensive longitudinal methods to study everyday ageism. Expected outcomes include identification of at-risk groups that can be used to i ....Understanding Ageism in Australia. Ageism refers to stereotypes, prejudice and discrimination towards people based on their age. This project aims to generate new knowledge in relation to older Australians’ experiences of ageism by conducting a population-based survey of ageism and examining its links with mental health and wellbeing. The project will also use intensive longitudinal methods to study everyday ageism. Expected outcomes include identification of at-risk groups that can be used to inform government policy responses to tackling ageism and will inform the development of interventions and education programs to reduce ageism in the community. This should provide significant benefits for social inclusion, intergenerational solidarity and economic participation Read moreRead less
Identifying optimal daily levels of movement behaviours in early childhood. This project aims to discover how much physical activity, sedentary behaviour and sleep young children need each day to best support their development. Through the creation of an international database and the application of innovative analytics, the project seeks to determine the optimal daily balance of these behaviours that results in the best developmental outcomes for young children. The project is expected to infor ....Identifying optimal daily levels of movement behaviours in early childhood. This project aims to discover how much physical activity, sedentary behaviour and sleep young children need each day to best support their development. Through the creation of an international database and the application of innovative analytics, the project seeks to determine the optimal daily balance of these behaviours that results in the best developmental outcomes for young children. The project is expected to inform national movement behaviour guidelines. The expected benefit for parents and professionals is improved confidence in supporting children’s physical activity, sedentary behaviour and sleep. The expected benefit for children is positive development, given the broad impacts of these behaviours on health and well-being.Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
Healthy and working life expectancies in an ageing Australia. This project aims to identify social circumstances that optimise healthy and working life years in Australia. The project draws on international multidisciplinary expertise to critically evaluate social variation and inequalities in the years older adults live in good health and are engaged in work. Expected outcomes include the generation of new policy-relevant knowledge on older workers, active retirement, and healthy ageing which w ....Healthy and working life expectancies in an ageing Australia. This project aims to identify social circumstances that optimise healthy and working life years in Australia. The project draws on international multidisciplinary expertise to critically evaluate social variation and inequalities in the years older adults live in good health and are engaged in work. Expected outcomes include the generation of new policy-relevant knowledge on older workers, active retirement, and healthy ageing which will advance the field of life course epidemiology and inform the debate about Australia’s future ageing. This project should provide benefits for individual wellbeing, and provide evidence that can inform long-term public policy on health, work, welfare, and retirement.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.Read moreRead less
Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved ....Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved understanding, modelling, and tracking of the spread of diseases.Read moreRead less