The Australian Research Data Commons (ARDC) invites you to participate in a short survey about your
interaction with the ARDC and use of our national research infrastructure and services. The survey will take
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We will use the information you provide to improve the national research infrastructure and services we
deliver and to report on user satisfaction to the Australian Government’s National Collaborative Research
Infrastructure Strategy (NCRIS) program.
Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
Complete the 5 min survey now by clicking on the link below.
SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the infor ....SenShaMart: A Trusted Internet of Things Marketplace for Sensor Sharing. This project aims to devise a novel Internet of Things (IoT) sensor sharing marketplace that permits IoT applications to discover, integrate, and pay for any IoT sensor data that is made available by other parties. The project will devise highly-scalable sensor classification, query processing, and transactions solutions and incorporate them in a pair of novel blockchains that work in tandem to securely manage all the information and contracts needed by IoT applications to discover, integrate, pay, and use sensors provided by another parties. These IoT advancements will provide significant economic, environmental, and social benefits via making low-cost and immediate sensing available across the world.Read moreRead less
Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially period ....Advanced Materials from Automated Synthesis of Sequence-Defined Polymers. The project aims to develop industrially scalable and environmentally friendly methods for synthesis of sequence-defined multiblock copolymers (polymer chains containing segments of different polymer types) using automated synthesis methods. The materials to be explored will be largely based on renewable biomass-derived monomeric building blocks. Such polymers are able to undergo microphase separation into spatially periodic compositional patterns, thereby providing access to a vast range of nano-engineered materials. This would enable design and synthesis of new advanced materials, making use of renewable resources and supporting the circular economy, with diverse potential applications ranging from nanomedicine to materials science.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Coastal permeable sediments as a novel source of greenhouse gases. Emissions of the greenhouse gases nitrous oxide and methane are increasing from unknown sources. High concentrations of these gases have been observed in coastal waters which bear the brunt of nutrient pollution (primarily nitrogen) from cities and agriculture. This project aims to investigate the sources of these gases within these environments and the processes that lead to their formation. This new knowledge is expected to ....Coastal permeable sediments as a novel source of greenhouse gases. Emissions of the greenhouse gases nitrous oxide and methane are increasing from unknown sources. High concentrations of these gases have been observed in coastal waters which bear the brunt of nutrient pollution (primarily nitrogen) from cities and agriculture. This project aims to investigate the sources of these gases within these environments and the processes that lead to their formation. This new knowledge is expected to develop new models which aim to enable us to better predict the emissions of greenhouse gases within coastal waters. Expected benefit of this will be strategies to reduce greenhouse gas emissions.Read moreRead less
The Mechanisms determining the Rolling Motions of Bodies. This project aims to investigate the mechanisms affecting the rolling motions of spheres and cylinders. This international project expects to generate new knowledge of the effect of surface roughness, cavitation and compressibility using novel experimental and computational methods. Expected outcomes of this project include the discovery of the explicit role of surface roughness in allowing bodies to roll, the means of modifying these mo ....The Mechanisms determining the Rolling Motions of Bodies. This project aims to investigate the mechanisms affecting the rolling motions of spheres and cylinders. This international project expects to generate new knowledge of the effect of surface roughness, cavitation and compressibility using novel experimental and computational methods. Expected outcomes of this project include the discovery of the explicit role of surface roughness in allowing bodies to roll, the means of modifying these motions, the wake mechanisms leading to body vibration, and the mixing induced by rolling bodies. This will provide significant benefits to the understanding of the motion of particles and bodies in a range of situations such as particle reactors and sedimentation processes.
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Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Extracting energy from air: mechanism of a bacterial hydrogenase. The atmosphere has recently been shown to be a key source of energy for diverse soil bacteria. Bacteria use complex enzymes, namely Huc-type hydrogenases, to harvest atmospheric hydrogen directly from air to support growth and survival. However, little is known about how Huc functions within and outside cells. By synergising expertise in microbiology, biochemistry, and chemistry, we will resolve the mechanism, assembly, and integr ....Extracting energy from air: mechanism of a bacterial hydrogenase. The atmosphere has recently been shown to be a key source of energy for diverse soil bacteria. Bacteria use complex enzymes, namely Huc-type hydrogenases, to harvest atmospheric hydrogen directly from air to support growth and survival. However, little is known about how Huc functions within and outside cells. By synergising expertise in microbiology, biochemistry, and chemistry, we will resolve the mechanism, assembly, and integration of Huc, including the basis of its remarkably high affinity and oxygen insensitivity compared to previously studied hydrogenases. This project will enable biotechnological applications, as the first study of an enzyme that extracts energy from air, and has broad ecological and biogeochemical implications.Read moreRead less
Living on air: how do bacteria scavenge atmospheric trace gases? This project aims to determine the molecular and cellular basis of atmospheric trace gas oxidation by bacteria. Bacteria have a remarkable ability to adapt to resource limitation and environmental change by entering dormant states. Our research has shown they survive in this state by using atmospheric hydrogen and carbon monoxide as energy sources. This interdisciplinary project will determine how bacteria achieve this by elucidati ....Living on air: how do bacteria scavenge atmospheric trace gases? This project aims to determine the molecular and cellular basis of atmospheric trace gas oxidation by bacteria. Bacteria have a remarkable ability to adapt to resource limitation and environmental change by entering dormant states. Our research has shown they survive in this state by using atmospheric hydrogen and carbon monoxide as energy sources. This interdisciplinary project will determine how bacteria achieve this by elucidating the regulation, mechanism, and integration of the three uncharacterised enzymes that mediate this process. Outcomes and benefits include understanding of the processes that facilitate bacterial persistence, regulate atmospheric composition, and in turn support resilience of natural ecosystems.Read moreRead less
Changing Institutions to Mitigate Gender Leadership Gaps: Power of Defaults. This project aims to improve diversity in organisations by investigating a simple yet novel institutional change that can increase women’s participation in leadership. This involves a change in the default used for leadership selection, from an opt-in to an opt-out mechanism. This project expects to generate new knowledge in the area of diversity and inclusion by showing how appropriate choice of defaults can reduce lab ....Changing Institutions to Mitigate Gender Leadership Gaps: Power of Defaults. This project aims to improve diversity in organisations by investigating a simple yet novel institutional change that can increase women’s participation in leadership. This involves a change in the default used for leadership selection, from an opt-in to an opt-out mechanism. This project expects to generate new knowledge in the area of diversity and inclusion by showing how appropriate choice of defaults can reduce labour market gaps and inequality. Expected outcomes include understanding mechanisms underlying the gender default effect both in the short and long run which will help identify appropriate interventions that can be scaled up. Insights gained should provide significant benefits by improving workplace diversity and productivity.Read moreRead less