Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the internati ....Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the international standing of Australia in the field. The project will provide a high level of training and expertise for Australia-based chemists.Read moreRead less
Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary ....Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary instruments. This would enable synchronous measurement of molecular mass and conformation with nanometre resolution. In contrast to current mass spectrometry, this technology could be operated in fluid and detect neutral species. This significant change in capability could be applied to advance biological and medical research.Read moreRead less
Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks ....Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks to develop new knowledge about the cognitive, social and technical factors that shape the effectiveness of online international design teamwork. Its goal is to leverage the opportunities provided through technological advances and multicultural practices, to remove barriers to design productivity and enhance creativity.Read moreRead less
Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisatio ....Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisation of the, potentially, tens of thousands of individual molecular lipid species that may be present within a sample of interest. This project will develop and optimise novel, ultraviolet photodissociation-tandem mass spectrometry methods which will be integrated within an automated lipidome analysis workflow, to enable comprehensive global lipidome profiling and to reveal the structural diversity of lipids involved in fundamental cellular signalling processes.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions th ....The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions that are fundamental to almost every aspect of cell biology. The project is intended to benefit Australia through contributing to fundamental knowledge in the field, facilitating the development of new CRISPR-Cas biotechnologies for RNA detection and through the training of young researchers in frontier technologies. Read moreRead less
Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu ....Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.Read moreRead less
Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger eq ....Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger equation, Dirac operators, and Maxwell equations. In addition to providing a theoretical foundation upon which one can build numerical algorithms, this project will also provide the missing link between inverse problems and unique continuation theory. The downstream impact of this research will lead to more efficient and accurate tomography methods which can be implemented in a range of imaging applications.Read moreRead less
Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowle ....Identification Power and Instrument Strength in Discrete Outcome Models. This project aims to develop new econometric and statistical techniques to quantify causal effects in treatment models with discrete outcomes. Expected outcomes include a much-needed weak instrument test, a measure for identification strength in partial identification setting, and an instrument-covariate selection procedure for high dimensional discrete models based identification power. The benefits include advanced knowledge in econometrics and statistics, and enhanced tools for program evaluation and policy assessment in empirical causal analysis using observational data. The project falls into the category of smarter information use and is relevant to any national priority areas where policy interventions require assessment.Read moreRead less
Selection of mixed strength moment restrictions and optimal inference . This project aims to develop consistent model selection criteria even if the target model only provides a weak signal about the parameter of interest. This project expects to generate new knowledge on model selection using new and innovative techniques. Expected outcomes include the quantification of the maximum information on parameter from weak-signal models; new entropy-based model selection criteria; and a robust investi ....Selection of mixed strength moment restrictions and optimal inference . This project aims to develop consistent model selection criteria even if the target model only provides a weak signal about the parameter of interest. This project expects to generate new knowledge on model selection using new and innovative techniques. Expected outcomes include the quantification of the maximum information on parameter from weak-signal models; new entropy-based model selection criteria; and a robust investigation of the still debated hypothesis in environmental economics that with open and liberalized trade, developing countries would become pollution havens for dirty industries of advanced countries. Success in this undertaking will dramatically enlarge the pool of applied work involving economic models with weak signals.Read moreRead less