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Australian Laureate Fellowships - Grant ID: FL150100150
Funder
Australian Research Council
Funding Amount
$2,413,112.00
Summary
Bayesian learning for decision making in the big data era. Bayesian learning for decision making in the big data era: This fellowship project aims to develop new techniques in evidence-based learning and decision-making in the big data era. Big data has arrived, and with it a huge global demand for statistical knowledge and skills to analyse these data for improved learning and decision-making. This project will seek to address this need by creating a step-change in knowledge in Bayesian statist ....Bayesian learning for decision making in the big data era. Bayesian learning for decision making in the big data era: This fellowship project aims to develop new techniques in evidence-based learning and decision-making in the big data era. Big data has arrived, and with it a huge global demand for statistical knowledge and skills to analyse these data for improved learning and decision-making. This project will seek to address this need by creating a step-change in knowledge in Bayesian statistics and translating this knowledge to real-world challenges in industry, environment and health. The new big data statistical analysts trained through the project could also create much needed capacity at national and international levels.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL220100137
Funder
Australian Research Council
Funding Amount
$3,320,000.00
Summary
10,000 Hours: Time in early education and care for better life opportunity. An Australian child spends up to 10,000 hours in early care and education programs prior to school. These hours are a developmental opportunity. Their potential to improve life chances is well documented. Yet many programs do not deliver on this promise. Nearly 1 in 4 Australian children enter school developmentally vulnerable. This study aims to interrogate the meaning of quality in early education and care programs wit ....10,000 Hours: Time in early education and care for better life opportunity. An Australian child spends up to 10,000 hours in early care and education programs prior to school. These hours are a developmental opportunity. Their potential to improve life chances is well documented. Yet many programs do not deliver on this promise. Nearly 1 in 4 Australian children enter school developmentally vulnerable. This study aims to interrogate the meaning of quality in early education and care programs with focus in communities experiencing the greatest challenges. The expected result is understanding of the mechanisms that limit delivery of the highest quality learning opportunities and outcomes for children. The benefit will be for children attending early education and care programs, their families and the nation’s future.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL110100281
Funder
Australian Research Council
Funding Amount
$2,777,066.00
Summary
Large-scale statistical machine learning. This research program aims to develop the science behind statistical decision problems as varied as web retrieval, genomic data analysis and financial portfolio optimisation. Advances will have a very significant practical impact in the many areas of science and technology that need to make sense of large, complex data streams.