Identifying Neuroanatomical Sub-phenotypes Of Schizophrenia
Funder
National Health and Medical Research Council
Funding Amount
$60,129.00
Summary
The clinical presentation of schizophrenia is varied across individuals, and has arguably hindered efforts to determine its cause/s. This project seeks to address this issue by investigating biological commonality in patients, to identify subgroups of schizophrenia patients with similar brain abnormalities, with the overall aim to examine cognitive and clinical characteristics and candidate genetic markers in association with biologically derived subtypes of schizophrenia.
Why is (re)development hot?: Measuring cumulative heat in Australian cities. Incremental (re)development of Australia’s residential areas occurs piecemeal, with varied planning oversight, and results in potentially harmful cumulative warming. This project aims to causally identify the warming effect of residential (re)development and investigate the impact of planning policies that control changes in the built form associated with increased heat exposure. Using large geospatial datasets and a qu ....Why is (re)development hot?: Measuring cumulative heat in Australian cities. Incremental (re)development of Australia’s residential areas occurs piecemeal, with varied planning oversight, and results in potentially harmful cumulative warming. This project aims to causally identify the warming effect of residential (re)development and investigate the impact of planning policies that control changes in the built form associated with increased heat exposure. Using large geospatial datasets and a quasi-experimental research design, warming in Australia’s suburbs over the past decade at the micro (street canyon)- and neighbourhood-scales, will be attributed to (re)development types and ‘fissures’ in policy to inform climate resilient planning. Read moreRead less
Modelling The Impact Of Global Climate Change On The Epidemiology Of Infectious Diseases In Bangladesh
Funder
National Health and Medical Research Council
Funding Amount
$118,988.00
Summary
Climate change may impact on human health via a change in the distribution and pathogenicity of infectious diseases, particularly in the South Asian region. This study will use high quality environmental and clinical data from an established time-series collated in Bangladesh, to better inform mathematical models which may predict future changes in infectious diseases epidemiology. Accurate and valid modelling can be valuable in guiding future public health policy for vulnerable populations.
Tropical convection and its contribution to climate variability. This research will provide the necessary data to test and improve the representation of tropical convective clouds in weather forecast and climate simulation models. This will lead to more robust estimates of future climate change, and improved prediction of precipitation in the Australian tropics. This project will also provide training to undergraduate and postgraduate students in using modern computer models; such models will be ....Tropical convection and its contribution to climate variability. This research will provide the necessary data to test and improve the representation of tropical convective clouds in weather forecast and climate simulation models. This will lead to more robust estimates of future climate change, and improved prediction of precipitation in the Australian tropics. This project will also provide training to undergraduate and postgraduate students in using modern computer models; such models will be a key component of weather forecasting in the future.Read moreRead less
Optimal Source Control in Urban Water Cycle Management. Major opportunities exist to improve the management of the urban water cycle by better use of source control technology such as the use of rainwater tanks and water-sensitive design. This program will optimise the use of this technology at three scales, allotment, subdivision and regional, using genetic algorithms, parallel computing and shadow pricing. The aim is to minimise community lifecycle costs subject to sustainable use of ecosystem ....Optimal Source Control in Urban Water Cycle Management. Major opportunities exist to improve the management of the urban water cycle by better use of source control technology such as the use of rainwater tanks and water-sensitive design. This program will optimise the use of this technology at three scales, allotment, subdivision and regional, using genetic algorithms, parallel computing and shadow pricing. The aim is to minimise community lifecycle costs subject to sustainable use of ecosystems and maintenance of public health standards. The benefits include national savings of the order of $2 billion and significantly reduced demand on water supply and stormwater infrastructure and its supporting ecosystems.Read moreRead less
Rainfall over the Maritime Continent and Northern Australia. Australia's proximity to the tropics results in major influences, both direct and indirect, of tropical weather and climate on society as a whole. Tropical convection is key to all those influences. The prediction of the many natural hazards related to convection as well as a projection of the influence and strength of these hazards under climate change is a matter of high national priority. Through an improved understanding of convect ....Rainfall over the Maritime Continent and Northern Australia. Australia's proximity to the tropics results in major influences, both direct and indirect, of tropical weather and climate on society as a whole. Tropical convection is key to all those influences. The prediction of the many natural hazards related to convection as well as a projection of the influence and strength of these hazards under climate change is a matter of high national priority. Through an improved understanding of convection over tropical Australia and in its vicinity, the proposed research will improve our predictive tools and capabilities, thereby making a major contribution to decision-making in an environmentally sustainable Australia.Read moreRead less
A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration ....A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration rainfall throughout the target region. The proposal introduces a three-level hierarchical model of space-time rainfall building on experience of a point rainfall model developed in previous ARC research. Practical issues dealing with data quality and validation will also be addressed.Read moreRead less
Modelling long-term hydrological persistence using hidden state Markov models. Long-term climatic persistence has a pronounced effect on engineering risk assessment of drought and flood severity. Accurate risk assessment is essential for economic design of water resource and flood defence infrastructure. A new, physically realistic, framework for stochastic modelling of persistence is developed, in which the probability distributions of hydrological variables depend on underlying climatic states ....Modelling long-term hydrological persistence using hidden state Markov models. Long-term climatic persistence has a pronounced effect on engineering risk assessment of drought and flood severity. Accurate risk assessment is essential for economic design of water resource and flood defence infrastructure. A new, physically realistic, framework for stochastic modelling of persistence is developed, in which the probability distributions of hydrological variables depend on underlying climatic states. These states are not directly observable, and occasionally change in a random manner. The research program, involving three PhD projects, will develop: estimation techniques and software using climate indices and multi-site data; a new approach to flood risk regionalisation; and seasonal rainfall forecasting methods.Read moreRead less
A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and envi ....A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and environmental significance. Stochastic space-time rainfall models enable rainfall and climatic variability to be quantified, simulated over arbitrarily long periods, and risks assessed. This research will provide software and the development of rainfall modelling frameworks for large river basins such as the Murray-Darling.Read moreRead less