New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualis ....New digital deep-time exploration tools for a low-emissions economy. Demand for critical minerals will soar as renewable energy generation increases, but exploration companies currently cannot take full advantage of available exploration data in an Earth evolution context. This project will generate new knowledge in big and complex geodata analysis using an innovative data mining approach. It will enable Lithodat, a small enterprise, to perform cloud-based plate tectonic reconstruction, visualisation and spatio-temporal analysis of geodata for resource exploration. The outcomes include an enhanced capacity to generate ore prospectivity maps and an improved understanding of their tectonic, geochemical, and geophysical signatures, benefiting Lithodat and their clients in the search for new mineral deposits.Read moreRead less
Building futures for young Australians at risk: a coordinated measurement framework and data archive. This project will build a national data base of evidence about and for programs that address the needs of the 16 per cent of young Australians currently at risk of school non-completion. It will generate important knowledge for program improvement and sustainability and coordination of evidence across diverse and fragmented programs.
Building futures for young Australians at risk: a coordinated measurement framework and data archive. This project will build a national data base of evidence about and for programs that address the needs of the 16 per cent of young Australians currently at risk of school non-completion. It will generate important knowledge for program improvement and sustainability and coordination of evidence across diverse and fragmented programs.