Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to ....Digging deeper to improve yield stability. This project aims to provide innovative breeding solutions that harness the ‘hidden’ part of the plant, roots, to support the development of more productive crops in the face of climate variability. The project expects to generate new insights into the biology and genetics of root development in barley, a model cereal crop, by applying cutting-edge genome editing, phenotyping and genomics technologies. Anticipated outcomes include novel methodologies to accelerate breeding for diverse production environments, with direct applications in barley, and other major cereals including wheat and oats. This should provide significant economic and social benefits to the Australian grains industry through yield stability amidst climate variability.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100549
Funder
Australian Research Council
Funding Amount
$417,328.00
Summary
Adaptive evolution and its demographic consequences today. This project aims to provide the first test of whether the rate of adaptative genetic evolution has changed in the recent decades, to quantify how much recent genetic evolution helps animal populations survive, and to increase the ability to study on-going genetic evolution in Australian wildlife. The project is of major significance as many species are currently threatened, or invading, due to rapid environmental changes, in particular ....Adaptive evolution and its demographic consequences today. This project aims to provide the first test of whether the rate of adaptative genetic evolution has changed in the recent decades, to quantify how much recent genetic evolution helps animal populations survive, and to increase the ability to study on-going genetic evolution in Australian wildlife. The project is of major significance as many species are currently threatened, or invading, due to rapid environmental changes, in particular climate change. The anticipated outcome of the project is to deliver new methods, establish a network of international and national collaborators and improve the ability to measure and to forecast how Australian animals adapt to rapidly changing environments.Read moreRead less
Uncertainty, Risk and Related Concepts in Machine Learning. Machine learning is the science of making sense of data. It does not and cannot remove all risk and uncertainty. This project proposes to study the foundations of how machine learning uses, represents and communicates risk and uncertainty. It aims to do so by finding new theoretical connections between diverse notions that have arisen in allied disciplines. These include risk, uncertainty, scoring rules and loss functions, divergences, ....Uncertainty, Risk and Related Concepts in Machine Learning. Machine learning is the science of making sense of data. It does not and cannot remove all risk and uncertainty. This project proposes to study the foundations of how machine learning uses, represents and communicates risk and uncertainty. It aims to do so by finding new theoretical connections between diverse notions that have arisen in allied disciplines. These include risk, uncertainty, scoring rules and loss functions, divergences, statistics and different ways of aggregating information. By building a more complete theoretical map it is expected that new machine learning methods will be developed, but more importantly that machine learning will be able to be better integrated into larger socio-technical systems.Read moreRead less
Macroeconomic and Financial Modelling in an Era of Extremes. This project aims to develop methods to allow workhorse models in economics and finance to better reflect tail events--low probability extreme events, such as the Global Financial Crisis and the COVID-19 pandemic. It intends to address fundamental technical challenges in the estimation of such models, develop a coherent framework for counterfactual analysis of these models and propose methods to apply these models in a big-data environ ....Macroeconomic and Financial Modelling in an Era of Extremes. This project aims to develop methods to allow workhorse models in economics and finance to better reflect tail events--low probability extreme events, such as the Global Financial Crisis and the COVID-19 pandemic. It intends to address fundamental technical challenges in the estimation of such models, develop a coherent framework for counterfactual analysis of these models and propose methods to apply these models in a big-data environment. Expected outcomes include new insights into the transmission of tail risks in the global economic and financial system. This should provide significant benefits, including guidance to Australian and international policymakers charged with maintaining stability in the face of extreme events.Read moreRead less
Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine th ....Solving and estimating dynamic models of strategic interaction. This project aims to investigate how firms interact with each other through time and how these interactions drive both the operation of, and value created in, economic markets. While recent theoretical models predominantly capture the complexity of these dynamic interactions, the methods for testing these models’ predictions against observed data do not. Instead, they are based on a range of simplifying assumptions that undermine the reliability of their analysis. This project will develop statistical and computational methods to better understand observed economic behaviour. By allowing the effects of proposed economic interventions and regulations ex ante, this project will support the development of more efficient and better-targeted policies in every area of the economy.Read moreRead less
Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algori ....Feature Learning for High-dimensional Functional Time Series. This project aims to develop new methods and theories for common features on high-dimensional functional time series observed in empirical applications. The significance includes addressing a key gap in adaptive and efficient feature learning, improving forecasting accuracy and understanding forecasting-driven factors comprehensively for empirical data. Expected outcomes involve advances in big data theory and easy-to-implement algorithms for applied researchers. This project benefits not only advanced manufacturing by finding optimal stopping time for wood panel compression, but also superior forecasting for mortality in demography, climate data in environmental science, asset returns in finance, and electricity consumption in economics. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101235
Funder
Australian Research Council
Funding Amount
$424,500.00
Summary
Encounters with hominins: the history of human arrival in Sahul. This project aims to provide a detailed understanding on the remarkably complex encounters between archaic and modern human populations in Island Southeast Asia, New Guinea and Australia during the Pleistocene. The project plans to provide the largest collection of human genetic diversity from this vast geographical region and significantly advance current knowledge on one of the most intriguing questions in human evolution. These ....Encounters with hominins: the history of human arrival in Sahul. This project aims to provide a detailed understanding on the remarkably complex encounters between archaic and modern human populations in Island Southeast Asia, New Guinea and Australia during the Pleistocene. The project plans to provide the largest collection of human genetic diversity from this vast geographical region and significantly advance current knowledge on one of the most intriguing questions in human evolution. These insights are expected to bring important social and cultural benefits for Australia by unveiling the singularly deep genetic history of Aboriginal Australians, including their ancient connection to indigenous communities from Indonesia and New Guinea that extends back to when people first arrived in Australia.
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New methods in spectral geometry. This project aims to use methods from mathematical scattering theory to resolve problems in the spectral analysis and index theory of differential operators. Both areas underpin the theoretical understanding of physical materials at micro length scales where quantum phenomena dominate. The project will develop new mathematical results in spectral analysis and geometry, and apply its results to theoretical models of quantum phenomena whose spectral properties are ....New methods in spectral geometry. This project aims to use methods from mathematical scattering theory to resolve problems in the spectral analysis and index theory of differential operators. Both areas underpin the theoretical understanding of physical materials at micro length scales where quantum phenomena dominate. The project will develop new mathematical results in spectral analysis and geometry, and apply its results to theoretical models of quantum phenomena whose spectral properties are at the limit of the range of mathematical techniques. Solving these problems is expected to influence non-commutative analysis.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101069
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Adaptation and diversification of the first peoples of Sahul. This project aims to further advance work on the genetic history of Indigenous Australians and Papuans that has revealed that Aboriginal Australians have inhabited a variety of diverse and challenging environments for approximately 50,000 years. Using novel techniques for extraction of human DNA from soil and the use of cutting-edge graph-based methods, hundreds of Indigenous Australian and Papuan genomes will be analysed. This projec ....Adaptation and diversification of the first peoples of Sahul. This project aims to further advance work on the genetic history of Indigenous Australians and Papuans that has revealed that Aboriginal Australians have inhabited a variety of diverse and challenging environments for approximately 50,000 years. Using novel techniques for extraction of human DNA from soil and the use of cutting-edge graph-based methods, hundreds of Indigenous Australian and Papuan genomes will be analysed. This project expects to generate new knowledge by filling in the gaps in the Australian genetic record via ancient human DNA from sediments. Expected outcomes from this project are producing a detailed picture of genomic adaptation in Indigenous Australians and Papuans and creating a comprehensive genetic history of the First Peoples of Sahul.Read moreRead less