Grants & Opportunities

The impact of immigrant theatre artists on Australian culture 1919-1949. Using an innovative mixed-methods research design, this project aims to investigate the lives and impact of immigrant theatre artists working in Australia from 1919 to 1949, focusing on the influential Latvian "power couple" Dolia and Rosa Ribush. After 1918, increased migration flows led numbers of foreign artists to come to Australia. These have been studied individually but never as a network, so their contribution to Australian culture has been greatly undervalued. Benefits of the project include better understanding of the way Australian theatre has been creatively shaped by diverse patterns of immigration. Expected outcomes include new knowledge of a major period of development in the place, operation and value of Australian culture.. Scheme: Discovery Projects. Field: 1904 - Performing Arts and Creative Writing. Lead: Prof Julian Meyrick

Using assisted evolution to win the war against invasive species. Invasive species disrupt ecosystem functioning, causing severe economic costs. This project investigates the use of native insects, alongside assisted evolution, as a novel approach to control invasive plants. Combining experimental and observational data we aim to accelerate adaptation already underway and entrained by selection from interactions between invasive plants and Australian insects. These data will not only address unresolved questions in evolutionary biology but will also provide knowledge on the role native insects can play in the biocontrol of invasive weeds. This will be crucial for conservation managers and agricultural practitioners dealing with plant movement and/or crop development under ongoing environmental change.. Scheme: Discovery Projects. Field: 0501 - Ecological Applications. Lead: Prof Johannes Le Roux

Laser-free on-chip super-resolution microscopy. The project aims to develop a compact, cost-effective on-chip super-resolution microscope through an innovative combination of imaging algorithms, optics and integrated photonics. This project addresses limitations in imaging algorithms that increase laser system complexity and constrain imaging speed and applications, as well as nanostructure fabrication issues. Expected outcomes include the discovery of emitter self-interference microscopy, new knowledge in imaging, photonics and biophysics, the world’s fastest super-resolution technology, compact on-chip nanoscopy that can be added to existing technology and proof of concept in three areas. Benefits are anticipated in commercialisation, improved photonics devices and usage in biophysics.. Scheme: Discovery Projects. Field: 1007 - Nanotechnology. Lead: Prof Lan Fu

RNA-binding proteins rewire transcriptomes in immune cell differentiation. This project aims to combine advanced computational and experimental techniques to investigate a new layer of gene regulation by novel RNA binding proteins (RBP) which control messenger RNA length in immune cells. This project expects to demonstrate that these RBPs have a profound effect on immune cell differentiation and response to infection. Expected outcomes include the discovery of new RBPs regulating immunity, with mechanism and function determined by novel CRISPR editing of a transgenic mouse model. The significant benefit will be a more complete understanding of RNA mechanisms of immune response, which will be critical in informing future advances in the rapidly developing areas of RNA-based biotechnologies and synthetic immunology.. Scheme: Discovery Projects. Field: 1107 - Immunology. Lead: A/Prof Jiayu Wen

Epigenetic effects of environmental thyroid disruption. Anthropogenic impacts increasingly disrupt hormone-mediated responses to environmental change. The project aims to determine the interactive effects of climate warming, light-at-night, and plastic pollution on thyroid hormone signalling, and test whether these effects are passed between generations epigenetically. Epigenetic effects of endocrine disruption are one of the most important emerging conservation threats. Mathematical modelling of experimental data will help to predict how animals respond to anthropogenic impacts, and to acquire the tools necessary to maintain ecosystem function and services. The project will therefore have environmental benefits, as well as social benefits stemming from international collaborations and training.. Scheme: Discovery Projects. Field: 0608 - Zoology. Lead: Prof Frank Seebacher

Scalable & Accountable Privacy-Preserving Blockchain with Enhanced Security. This project aims to address the scalability and accountability of privacy-preserving blockchain by advancing cryptographic techniques. This project expects to develop scalable protocols for privacy-preserving blockchain while also adding accountability for authority to trace cyber crime activities, which is a missing piece in any state-of-the-art public blockchain system. Expected outcomes of this project include not only practical solutions for protecting sensitive data recorded in blockchain but also crucial techniques to make the blockchain accountable for practical applications with enhanced security. This project provides significant benefits, such as building a trusted environment for sensitive transactions in the digital economy.. Scheme: Discovery Projects. Field: 0803 - Computer Software. Lead: Prof Joseph Liu

Data analytics-based tools and methods to enhance self-regulated learning. This project aims to develop student self-regulated learning skills by harnessing the potential of Big Data analytics. The project expects to generate new knowledge at the intersection of learning analytics, educational technology, learning sciences and teaching practice resulting from novel data collection and analysis tools and methods. The outputs are expected to include insights into metacognitive, motivational, and technical issues facing analytics-based personalised feedback. The outcomes are intended to offer benefits for developing pedagogical and the design of educational technology. The outcomes can result in improved student learning outcomes in higher education to ensure graduates are prepared for the digital economy.. Scheme: Discovery Projects. Field: 1303 - Specialist Studies In Education. Lead: Prof Dragan Gasevic

The Great Barrier Reef in 2100. Our research aims to answer fundamental geomorphic questions about the future of coral reefs, focusing on the Great Barrier Reef (GBR). We will develop cutting-edge, fully open-source numerical models to quantify the eco-morphodynamic evolution of the GBR under IPCC climate-change scenarios. Our geomorphic numerical models will consider biotic/abiotic feedbacks including synergistic effects of multiple stressors such as waves, temperature, acidification and sediment transport, at individual reef scales. We will model the future of the GBR’s ecosystem-services, allowing for a quantum leap in the geomorphic knowledge and understanding of coral reef ecosystems. Expected outcomes include a gamechanger tool for future management of the GBR.. Scheme: Discovery Projects. Field: 0403 - Geology. Lead: Prof Ana Vila Concejo

Communities, Kava, Court Orders: The Ways of Possessing the Pacific City. This project aims to understand how urban tenure security is negotiated, claimed and/or recognised amid increasing stress on urban resources and competing potential sources of value for urban land. Through small-scale community-facing research, it intends to produce evidence of how residential tenure works on customary lands around Port Vila, Vanuatu. Expected outcomes include case studies and typologies showing the types of tenure relationships in place. This should have significant benefits for government and donors working to prevent displacement and developing plans for inclusive urbanisation into the future. Local populations should also benefit through increased awareness of the value and standing of customary tenure arrangements. . Scheme: Discovery Projects. Field: 1205 - Urban and Regional Planning. Lead: Dr Jennifer Day

Torsion in innovative timber composite floors. Application of lightweight sustainably sourced timber panels combined with steel beams or reinforced concrete slabs in composite floors has the potential to significantly improve the speed and efficiency and reduce the carbon and energy footprint of the construction industry. This project aims to produce world first benchmark experimental data and advanced numerical and simple analytical models required for efficient, yet safe and reliable analysis and design of timber-concrete and steel-timber composite floors subjected to complex 3-dimensional loading scenarios that involve combinations of torsion, bending and shear. The outcomes of this project are expected to promote innovation and advance knowledge in the field of structural mechanics.. Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: Prof Hamid Valipour

Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to solve complex real-world problems with both labelled and unlabelled data found in various applications including energy and climate change. The expected outcomes include the novel AI methods, highly trained AI researchers and a number of critical applications that will bring significant benefits to Australia and the world.. Scheme: Discovery Projects. Field: 0801 - Artificial Intelligence and Image Processing. Lead: Prof Saman Halgamuge

In for the count: Maximising trust and reliability in Australian elections. This project aims to develop innovative approaches to identifying, measuring, and evaluating errors and purposeful intervention in the uniquely complex elections at the basis of Australian democracy. Such methods can underpin a world-class election auditing system, which contends with the risks that are emerging at the intersection of election digitisation, cybersecurity and foreign interference. The project’s expected outcomes are new auditing methods, tested on real Australian election data, with their benefits quantified against global best practice. The research outputs should help reinforce the community’s trust in Australian elections, which are a foundation for our security, social cohesion, and political resilience.. Scheme: Discovery Projects. Field: 0104 - Statistics. Lead: A/Prof Damjan Vukcevic

A dynamical systems theory approach to machine learning. Forecasting the future state of a high-dimensional complex multi-scale system is a challenge we face in areas ranging from climate science to epidemiology. Even when basic physical mechanisms have been identified, the actual evolution equations are often unknown. This project will develop a computationally cheap machine learning framework for forecasting. The proposed mathematical framework provides a forecast together with a quantification of its uncertainty. We will develop sophisticated mathematical theory underpinning the novel methodology, as well as applying it to the perennial problem of subgrid-scale parametrisation of tropical convection, a missing key element in current climate models.. Scheme: Discovery Projects. Field: 0102 - Applied Mathematics. Lead: Prof Georg Gottwald

Connections for hybrid steel-timber-concrete structures. Connections play a vital role in overall performance, reliability, and adaptability of civil structures. This project aims to develop innovative, easy to fabricate and efficient connections for hybrid structural systems that fully exploit advantages of steel, concrete and engineered timber to reduce the self-weight, cost and negative environmental impact and enhance opportunities for deconstruction, reusing and upgrading of the structures. Structural performance of the connections will be assessed by laboratory testing and advanced numerical modelling. Comprehensive knowledge on stiffness, strength, and ductility and world-first provisions for safe and cost-effective design of the hybrid steel-timber-concrete structures are generated.. Scheme: Discovery Projects. Field: 0905 - Civil Engineering. Lead: Prof Hamid Valipour

Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.. Scheme: Discovery Projects. Field: 0501 - Ecological Applications. Lead: Dr Clement Duvert

Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.. Scheme: Discovery Projects. Field: 0801 - Artificial Intelligence and Image Processing. Lead: Prof Hongdong Li

Molecular Thermoelectric Materials: A New Hot Topic. This project aims to use the principles of chemistry and molecular electronics to synthesize and study molecules able to directly convert waste heat into electricity through the Seebeck effect. This project expects to generate new knowledge concerning the wire-like properties of molecules and conditions that lead to a high Seebeck coefficient, together with interference effects to suppress thermal conductance. Expected outcomes of this project include a deeper understanding of chemical structure - molecular electronic property relationships, and enhanced international collaboration with the UK. This should provide benefits in terms of low-cost conversion of waste heat to electrical energy. . Scheme: Discovery Projects. Field: 1007 - Nanotechnology. Lead: Prof Paul Low

Unravelling the mechanics of particle deposition at the micro-scale. This project aims to discover the mechanisms responsible for the interactions between aerosol particles and surfaces in a range of air flow conditions. The project expects to transform our understanding of particle deposition through a combination of novel laser-based diagnostic techniques, optical coherence tomography, and state of the art particle formulation methodologies. Expected outcomes of the project include delivery of new methods to optimise particle deposition, development of tunable powder formulations, as well as definition of particle-surface interaction mechanisms in flows. The project should provide significant benefits to particle systems for applications ranging from additive manufacturing to aerosol delivery.. Scheme: Discovery Projects. Field: 0904 - Chemical Engineering. Lead: Prof Hak-Kim Chan

Monolithic Solar Thermal Photocatalytic Membrane for Hydrogen Production. This ambitious project aims to develop a new concept of monolithic membranes composed of photocatalysts embedded in highly efficient solar thermal graphene. Such a membrane will be first of its kind and is able to utilise full solar spectrum for scalable seawater desalination and direct splitting to produce hydrogen without the need to concentrate sunlight. Expected outcomes include chemically and structurally tailored membranes and 2D floating prototypes for real life hydrogen production, and in-depth understanding of working mechanism to facilitate up-scaled renewable hydrogen generation. Significant benefits in minimising fossil fuel consumption, increasing energy security, and expanding competitive clean energy industry are promised.. Scheme: Discovery Projects. Field: 0912 - Materials Engineering. Lead: Prof Tianyi Ma

Judges' work, place and psychological health - a national view. This project aims to address the human, juridical and financial costs of judicial officers’ work-related psychological harm. This harm is implicated in early retirement, sick leave and suicide. It threatens appropriate courtroom conduct, procedural fairness and impartial adjudication. The project seeks to generate new knowledge of the stress judicial officers experience and the individual and institutional mechanisms for managing stressors, combining socio-legal and psychological approaches. Expected outcomes include evidence-based understandings to inform recruitment and retention strategies specific to this highly specialized workforce. This should provide significant benefits for judges’ work capacities and courts' delivery of justice.. Scheme: Discovery Projects. Field: 1801 - Law. Lead: Prof Prudence Vines

Student mobility, risk and changing geopolitics of international education. This project will investigate the impacts of changing geopolitics on student mobilities between Australia and China, India and Vietnam. The project uses a multi-method research design to generate new knowledge about how pre, during and post COVID-19 government policy responses and regional and global geopolitics affect inbound and outbound student mobilities. The expected outcomes include evidence-based recommendations for Australian government and university planning to build a resilient international education sector and co-designed resources to support international and domestic students and universities. Substantial benefits are expected as international education is vital to Australian higher education, society, culture, and economy.. Scheme: Discovery Projects. Field: 1301 - Education Systems. Lead: Prof Ly Tran

In the Driver's seat: role of trace elements in enabling crustal fluid flow. This proposal aims to systematically investigate the role of trace elements in controlling the kinetics, product composition, and feed-back between fluid flow and the reaction interface, in fluid-driven mineral reactions. This project expects to provide a framework for the integration of activator trace elements in models of crustal fluid flow and their application in the recovery of base, precious, and critical metals, using interdisciplinary approaches across geochemistry, mineral engineering and material sciences. Expected outcomes include improved prediction of the transport of metals and fluids in geo-systems. This should provide significant benefits towards integrating the mineral value chain from exploration to mining and metallurgy.. Scheme: Discovery Projects. Field: 0402 - Geochemistry. Lead: Prof Joel Brugger

Pumping up the volume on sound-light interactions. This project aims to create a new class of integrated microwave information processors on a single optical chip. Using electro-acoustic coupling in semiconductors, we expect to reduce optical power requirements hundredfold, enabling the emergence of practically deployable processors using ordinary telecom lasers. The expected project outcomes are inexpensive, compact, stable and energy efficient microwave photonic processors, a key requirement for reference standards and precision measurements of time and frequency. This technology has the potential to create a multitude of opportunities for commercial development in the fields of defence, information security, autonomous vehicles, sensing, and ultra-high bandwidth mobile communications.. Scheme: Discovery Projects. Field: 0906 - Electrical and Electronic Engineering. Lead: Dr Andreas Boes

Novel dopamine pathways underlying motivated behaviours. Rewards such as food, sex and social media are seeked on daily basis. Neurological and psychological basis of learning and memory of reward processing behaviour. This project maps real time neural activity during reward processing in two novel brain regions. It has the potential to revolutionize the understanding of the brain mechanisms in reward processing. The biological data obtained can be directly integrated into computational modelling approaches to benefit reward processing algorithms for learning behaviours in humans or artificial intelligence. This project will fuel the understanding of algorithms driving social media platforms and consumer consumption, hence driving economic and technological progress in Australia.. Scheme: Discovery Projects. Field: 1701 - Psychology. Lead: Dr Asheeta Prasad

The Ancient Today: Living Traditions of Classical Language Education. This project aims to compare, for the first time, ancient language education across world cultures with ‘classical’ literatures. It expects to illumine the purpose and value of classical language education in Chinese, Greek, Latin, and Sanskrit historically and within global education systems today by comparing pedagogic ideals and practices across times and cultures. It aims to test the potential of inclusive classical language learning to boost educational outcomes for disadvantaged students. Other expected outcomes include two books, scholarly articles, education policy reports, and PhD student training. This should strengthen intercultural understanding and benefit school students, educators, policy makers and the wider public.. Scheme: Discovery Projects. Field: 2003 - Language Studies. Lead: Prof Yasmin Haskell