A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments ....A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments to temperature, light and nutrient history. Three field studies will be used to validate a new individual based model. The outcomes of this project will be valuable for managing freshwater ecosystems that are increasingly subject to blooms in a warming climate, and for testing suitable mitigation and control strategies.Read moreRead less
Wild eco-evolutionary dynamics: the decline of an iconic Australian bird. This project aims to dissect the ecological and evolutionary processes causing a decline in an iconic Australian bird species. Studies that can properly test explanations for declines in wild populations are rare. This project aims to test how environmental and genetic processes shape individual traits, how these traits determine fitness and how changes in individual fitness affect population dynamics. The project expects ....Wild eco-evolutionary dynamics: the decline of an iconic Australian bird. This project aims to dissect the ecological and evolutionary processes causing a decline in an iconic Australian bird species. Studies that can properly test explanations for declines in wild populations are rare. This project aims to test how environmental and genetic processes shape individual traits, how these traits determine fitness and how changes in individual fitness affect population dynamics. The project expects to provide essential information for the improved management of Australian bird populations, and for understanding the effects of environmental change on natural systems globally.Read moreRead less
Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to ....Digitally-Integrated Smart Sensing of Diverse Airborne Grass Pollen Sources. Grass pollen is the main outdoor allergen source globally, triggering hayfever and asthma in up to 500 million people. With over 10,000 species, the influence of grass type, location and climate on pollen in the air is not yet known. This is a key issue since subtropical and temperate grasses differ in response to environmental factors. The project aims to use artificial intelligence on digital camera images to learn to see local grass flowers and integrate this with air sensors trained to detect grass pollen types. The expected outcomes are new capacities to track airborne grass pollen types. These outcomes can transform how pollen can be monitored to reduce the burden of allergies, and provide evidence of changing airborne pollen loads.
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Pathways to semelparity versus early maturity in animals and plants. The project aims to resolve an important but unresolved question in life history evolution and ecology- which mechanisms and constraints lead to semelparity (breeding once, which is rare), and which lead to fast life history (breeding early, which is common) in animals and plants. Theory predicts that both may be adaptations to schedules of adult death. Understanding why males and females have either semelparous or fast life hi ....Pathways to semelparity versus early maturity in animals and plants. The project aims to resolve an important but unresolved question in life history evolution and ecology- which mechanisms and constraints lead to semelparity (breeding once, which is rare), and which lead to fast life history (breeding early, which is common) in animals and plants. Theory predicts that both may be adaptations to schedules of adult death. Understanding why males and females have either semelparous or fast life history strategies is crucial to predicting survival of harvested and threatened species under pressure from climate change, drought, predators, and diseases that kill adults. Expected project outcomes include improved ability to address agents of decline of threatened animals and plants including semelparous species.Read moreRead less
Australian Experiences of Algorithmic Culture on TikTok. This project is the first to systematically investigate how algorithmic content recommendation is shaping everyday Australian cultural experience over time, in the particular context of TikTok—the digital platform where Australians spend the most time online. The project provides critical evidence to support the government's ongoing policy initiatives intended to regulate the activities of digital platforms. Its methodological innovations ....Australian Experiences of Algorithmic Culture on TikTok. This project is the first to systematically investigate how algorithmic content recommendation is shaping everyday Australian cultural experience over time, in the particular context of TikTok—the digital platform where Australians spend the most time online. The project provides critical evidence to support the government's ongoing policy initiatives intended to regulate the activities of digital platforms. Its methodological innovations directly address the challenges of studying commercial platforms' recommender systems through a mixed-method research design combining computational and qualitative analysis, bridging universal and individual perspectives and introducing ‘citizen science’ approaches to the field of platform studies.Read moreRead less
Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance ....Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.Read moreRead less
Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive pla ....Passive biofiltration processes for nitrogen removal from polluted waters. Traditional urban wastewater treatment is energy and resource demanding. By combining principles of Water Sensitive Urban Design (WSUD) with advanced pollutant removal processes, we will create necessary knowledge to underpin development of novel sustainable urban water treatment systems. This project aims to understand and utilise Simultaneous Nitrification, Anammox and Denitrification (SNAD) processes within passive plant-soil-based biofilters for cost-effective removal of nitrogen from a range of polluted urban water sources. The project will open a potential for a new technological advancements in urban water management, while simultaneously providing benefits to the environment and community through greening and waterway protection.Read moreRead less
Using machine vision to explore Instagram’s everyday promotional cultures. The advertising-driven business models of social media platforms increasingly depend on automation. The technologies used by platforms are rapidly advancing, and include ‘machine vision’ systems that automatically classify faces, expressions, objects, and brand logos in images. The results are used to provide targeted content to users, often without their knowledge and without sufficient public oversight. Using a novel co ....Using machine vision to explore Instagram’s everyday promotional cultures. The advertising-driven business models of social media platforms increasingly depend on automation. The technologies used by platforms are rapidly advancing, and include ‘machine vision’ systems that automatically classify faces, expressions, objects, and brand logos in images. The results are used to provide targeted content to users, often without their knowledge and without sufficient public oversight. Using a novel combination of computational and cultural research methods, this project aims to: examine how machine vision works in platforms like Instagram; explore its role in everyday visual contexts through qualitative case studies of festivals, food, and lifestyle sports; and improve public understanding of machine vision systems.Read moreRead less
Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD plannin ....Urban flood modelling at speed and scale. Frequent floods in urban areas cause damages comparable to extreme floods. This is likely to intensify with future urbanisation and climate change. Although Water Sensitive Urban Design (WSUD) offers sustainable urban drainage solutions, there are no models that can select an optimal WSUD system to deliver on a set urban flood mitigation target. The project aims to develop a new generation of fast urban flood models and the-first-of-its-kind WSUD planning tool to support industry and governments to effectively reduce the urban flooding damages. The project outcomes are also applicable for advancing early warning systems and real-time control of floods.Read moreRead less