Innovative measurement and modelling of greenhouse fluxes at regional scales across Australia. Carbon dioxide accounts for around 60% of the enhanced greenhouse effect. This proposal aims to markedly improve knowledge of the exchange of carbon, mostly as CO2, between atmospheric, ocean and land-based reservoirs in the Australian region. This will be achieved through a suite of measurements using innovative technologies: satellite and ground based remote sensing as well in situ measurements at ....Innovative measurement and modelling of greenhouse fluxes at regional scales across Australia. Carbon dioxide accounts for around 60% of the enhanced greenhouse effect. This proposal aims to markedly improve knowledge of the exchange of carbon, mostly as CO2, between atmospheric, ocean and land-based reservoirs in the Australian region. This will be achieved through a suite of measurements using innovative technologies: satellite and ground based remote sensing as well in situ measurements at Darwin and on the Ghan railway from Darwin to Adelaide. The measurements will be used to constrain inverse models of the carbon cycle and significantly reduce uncertainties in regional carbon source estimates. These estimates will in turn be compared to the Australian National Greenhouse Gas Inventory for comparison and verification.Read moreRead less
To map and enhance Australian musical improvisation as a creative industry. The project maps transforming improviser networks in Australian music since 1970, to inform how cultural innovation develops and disseminates. Application of new statistical techniques (temporal network analysis) will combine with in-depth focus groups to show how improvisation excellence depends on a mix of artistic craft, networked collaboration and institutional support. This knowledge will assist music venues and ind ....To map and enhance Australian musical improvisation as a creative industry. The project maps transforming improviser networks in Australian music since 1970, to inform how cultural innovation develops and disseminates. Application of new statistical techniques (temporal network analysis) will combine with in-depth focus groups to show how improvisation excellence depends on a mix of artistic craft, networked collaboration and institutional support. This knowledge will assist music venues and industry in nurturing improvisation as a cultural force and commercial opportunity for export and tourism attraction post Covid-19. The novel method, integrating computational network analysis with qualitative research, will also inform and build capacity for future understandings of cultural fields and industries.Read moreRead less
The Western Australia New Music Archive: 1970 - today: finding, accessing, remembering, performing. This project sees the creation of the Western Australian New Music Archive, a digital repository of and interface to Western Australian music composed from 1970 to the present day. A partnership between peak state and national bodies, the project will also involve the performance and recording of works from the archive.
Developing a personalised Music Affect Recommender System. The project aims to develop a personalised music recommender system using perceived tone quality, affect and liking. Recommender systems using prior verbal annotations and ratings are common (Amazon) but inappropriate for less popular music by unfamiliar artists, which lacks social use data. The project intends to build on work into perception of musical affect and its relation to loudness and tone quality; and the automation of the orga ....Developing a personalised Music Affect Recommender System. The project aims to develop a personalised music recommender system using perceived tone quality, affect and liking. Recommender systems using prior verbal annotations and ratings are common (Amazon) but inappropriate for less popular music by unfamiliar artists, which lacks social use data. The project intends to build on work into perception of musical affect and its relation to loudness and tone quality; and the automation of the organisation of digital libraries both by labels and acoustic content. Developing this, the project seeks to create a model that gives recommendations which accounts for an individual's preferences based on acoustic content, affect and liking. The system will be designed to update rapidly and to encourage exploration of familiar and unfamiliar music.Read moreRead less
Engineering cyanobacteria for high-value flavours and fragrances production. Engineering the metabolism of cyanobacteria for industrial production of flavours and fragrances has great commercial potential. Cyanobacteria capture more than 25% of the planet’s carbon. Due to their native metabolism and capacity to express complex plant proteins, they represent an attractive Synthetic Biology platform for the biosynthesis of flavours and fragrances. Combining physiological strain characterisation an ....Engineering cyanobacteria for high-value flavours and fragrances production. Engineering the metabolism of cyanobacteria for industrial production of flavours and fragrances has great commercial potential. Cyanobacteria capture more than 25% of the planet’s carbon. Due to their native metabolism and capacity to express complex plant proteins, they represent an attractive Synthetic Biology platform for the biosynthesis of flavours and fragrances. Combining physiological strain characterisation and ‘omics studies, new Synthetic Biology strategies and models will be developed. The project aims at engineering a suite of modified freshwater and marine cyanobacteria for flavours and fragrances biosynthesis. The project aims at enabling solar biomanufacturing to underpin the emergence of an advanced Australian bioeconomy.Read moreRead less
Music can speak for you: making music with a deep net partner. This project aims to develop and evaluate a novel computational partner to aid composers and non-musicians to make personal music. One computational component learns to output musical structures that another component moulds towards user-desired features while encouraging innovation and exploration. Listeners’ evaluation of the musical outputs in terms of affect will be analysed, potentially allowing us to extend current music genera ....Music can speak for you: making music with a deep net partner. This project aims to develop and evaluate a novel computational partner to aid composers and non-musicians to make personal music. One computational component learns to output musical structures that another component moulds towards user-desired features while encouraging innovation and exploration. Listeners’ evaluation of the musical outputs in terms of affect will be analysed, potentially allowing us to extend current music generation software considerably. The expected outcomes will be a tool for musicians, but also for untrained people, young and older, allowing such untrained people to make personalized music. The tool can thus provide benefits to the creative arts, and to the educational and wellbeing support sectors.Read moreRead less