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The ecological impact of large carnivore restoration. This project aims to assess the ecological changes that have arisen due to the repatriation of estuarine crocodiles to Australian ecosystems. It is significant because the restoration provides a rare opportunity to empirically test changes in ecosystem processes under varying degrees of large carnivore predation pressure. Expected outcomes include improved understanding of the processes that govern the strength of predator-ecosystem interacti ....The ecological impact of large carnivore restoration. This project aims to assess the ecological changes that have arisen due to the repatriation of estuarine crocodiles to Australian ecosystems. It is significant because the restoration provides a rare opportunity to empirically test changes in ecosystem processes under varying degrees of large carnivore predation pressure. Expected outcomes include improved understanding of the processes that govern the strength of predator-ecosystem interactions and an ability to quantify the biomass, social structure, and behaviours of predators required to influence these processes. Benefits should include improvements in how the ecological role of large carnivores is measured, and when and where carnivore populations should be culled or conserved.Read moreRead less
Ecological responses of native fishes to dynamic water flows in northwest arid Australia. This project will investigate the biological adaptations and ecology of native fishes of northwest Australia in order to assess their resilience to altered water flows due to mining activities and changing climate. The project findings will contribute to sustainable management of water and biodiversity in arid environments.
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
Water, carbon, and economics: resolving complex linkages for river health. By linking landscapes into our emerging low-carbon economy, this project will investigate how land management practices can be improved through payments for ecosystem services. With a focus on water and carbon, the main goal is to develop mechanisms to support integrated land and water management at the catchment scale.
Bad tastes, odours and toxins in our drinking water reservoirs: are benthic cyanobacteria the culprits? Cyanobacteria (blue-green algae) produce toxins and bad tastes that contaminate drinking water sources, cause public concern about water quality. This project will address a critical knowledge gap by investigating species that grow on the sediments of reservoirs, thus providing more comprehensive management solutions to the water industry.
Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rath ....Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rather than concentrating on individual sites. It intends to underpin a new predictive capacity including response to land use and management changes and climatic variations based on long-term data sets, as well as a water quality prediction capability. It is intended that the models developed will jointly model a range of inter-related water quality parameters.Read moreRead less
Recasting solutions to the Murray-Darling Basin crisis: recognising and valuing the role of Indigenous people. This project will investigate the significance of water to Indigenous people of the Murray-Darling Basin, examine the effect of changes in water governance and management on Indigenous communities and draw on international and local models to evaluate options for effective and equitable means of addressing Indigenous claims for water and recognition. It will test the feasibility of Indi ....Recasting solutions to the Murray-Darling Basin crisis: recognising and valuing the role of Indigenous people. This project will investigate the significance of water to Indigenous people of the Murray-Darling Basin, examine the effect of changes in water governance and management on Indigenous communities and draw on international and local models to evaluate options for effective and equitable means of addressing Indigenous claims for water and recognition. It will test the feasibility of Indigenous water plans to address Indigenous values and knowledge, give effect to Indigenous management objectives and articulate with statutory water plans. Results will contribute to geographical theory, transform water planning processes and enhance Indigenous capacity to influence allocation decisions, water policy and regional development solutions.Read moreRead less
Adaptive ecotyping of the toxic cyanobacterium Cylindrospermopsis raciborskii to predict its invasive capacity. We change the world while other organisms adapt to these new conditions. Cyanobacteria (blue green algae) increasingly dominate water bodies that were previously free of these harmful blooms. To minimise the spread of these algae, this project will study the genetic basis that determines how rapidly they can evolve and adapt to a changing planet.
Unintentional surfactant facilitated solubilisation and transport of apparently immobile chemicals. This research will improve qualitative and quantitative understanding on surfactant facilitated transport processes of apparently immobile contaminants. The project's goal is to provide a modelling approach that ultimately can be applied to assess and predict groundwater and offsite contamination risks in areas where surfactants are commonly used.