A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and a ....A Method for Analysis of Complexity in Cognitive Processes: Applications to Prediction of Industrial Workloads. The project will develop a method for analysis of cognitive complexity in human and animal cognition. It will contribute to basic research because it will enable equivalences and relative complexities of cognitive functions to be determined, independent of content or methodology. It will have applications to education, because it enables complexities of concepts to be recognised and appropriate pedagogies determined. It also has application to human factors, especially industrial performance and decision making. It will advance on currrent methods because it enables workload to be analysed and predicted, so that it can be factored into job and system design. Read moreRead less
Understanding the dynamics of the dark universe. This project aims to test theories of dark matter and dark energy with the ultimate goal of understanding the properties of the dark components of the universe and how those properties can be explained by new fundamental physics. The project will use two astronomical datasets, the Dark Energy Survey, with measurements of approximately 3000 supernovae, and the Dark Energy Spectroscopic Instrument, with measurements of 30 million galaxies. By compar ....Understanding the dynamics of the dark universe. This project aims to test theories of dark matter and dark energy with the ultimate goal of understanding the properties of the dark components of the universe and how those properties can be explained by new fundamental physics. The project will use two astronomical datasets, the Dark Energy Survey, with measurements of approximately 3000 supernovae, and the Dark Energy Spectroscopic Instrument, with measurements of 30 million galaxies. By comparing theoretical models to this combination of data the project will help to determine whether dark energy changes with time, measure detailed clustering properties of dark matter, and test advanced theories of gravity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100803
Funder
Australian Research Council
Funding Amount
$405,763.00
Summary
Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-c ....Slicing dead stars to reveal the origin of heavy elements in the Universe. This project aims to improve our understanding of how massive stars forge heavy elements like oxygen, that are key to life. It will use state-of-the-art spectrographs on Australian and Chilean telescopes to observe the ashes of dead stars, and test recent theoretical models. Expected outcomes include spectral maps of young supernova remnants, new observational constraints for theoretical models of massive stars and core-collapse supernovae, and innovative visualization solutions for complex 3D datasets. This project is expected to largely refine our grasp of the formation of heavy elements in the Universe, and thus provide significant cultural benefit in enhancing our understanding of mankind's cosmic origin in the heart of massive stars. Read moreRead less