Discovery Early Career Researcher Award - Grant ID: DE180100245
Funder
Australian Research Council
Funding Amount
$386,500.00
Summary
Achieving millimetre geodesy with space tie satellites. This project aims to implement the completely new concept of observing artificial satellites with radio telescopes, realising a so-called space tie. Understanding Earth’s changing shape requires measurements with a stability of 0.1 mm per year. Today, geodetic earth observations are used to realise reference points with a precision of five to ten times larger. Using the unique Australian ground infrastructure, current observational and oper ....Achieving millimetre geodesy with space tie satellites. This project aims to implement the completely new concept of observing artificial satellites with radio telescopes, realising a so-called space tie. Understanding Earth’s changing shape requires measurements with a stability of 0.1 mm per year. Today, geodetic earth observations are used to realise reference points with a precision of five to ten times larger. Using the unique Australian ground infrastructure, current observational and operational problems shall be overcome. The intended outcome is to improve the coordinate system of the Earth, which is the basis for a better understanding of Earth serving to fulfil scientific as well as societal demands.Read moreRead less
Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data ar ....Visual analytics for massive multivariate networks. Visual analytics for massive multivariate networks. This project aims to create methods to visually analyse massive multivariate networks. The amount of network data available has exploded in recent years: software systems, social networks and biological systems have millions of nodes and billions of edges with multivariate attributes. Their size and complexity makes these data sets hard to exploit. More efficient ways to understand the data are needed. This project will design, implement and evaluate visualisation methods for massive multivariate network data sets. This research is expected to be used by Australian software development, biotechnology and security companies to exploit their data.Read moreRead less