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Discovery Early Career Researcher Award - Grant ID: DE240100477
Funder
Australian Research Council
Funding Amount
$449,592.00
Summary
Quantifying climate change impacts for wetlands in agricultural landscapes. This project aims to quantify the impacts of changed water availability on wetland biodiversity. Research will focus on high conservation value wetlands in agricultural regions, which face significant climatic risk. Novel integration of biodiversity theory with hydroecological and spatial modelling is expected to generate new understanding of how water availability drives wetland diversity. Intended outcomes include new ....Quantifying climate change impacts for wetlands in agricultural landscapes. This project aims to quantify the impacts of changed water availability on wetland biodiversity. Research will focus on high conservation value wetlands in agricultural regions, which face significant climatic risk. Novel integration of biodiversity theory with hydroecological and spatial modelling is expected to generate new understanding of how water availability drives wetland diversity. Intended outcomes include new techniques to model wetland biodiversity, building of international collaborations and enhanced ability to support policy development to ameliorate climate-related wetland impacts. This should promote sustainable management of water and biodiversity in farmlands, benefitting productive capacity and environmental amenity.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230101174
Funder
Australian Research Council
Funding Amount
$443,154.00
Summary
Harnessing life-course transitions to optimise time-use behaviour habits. At every stage of life, how we use our time is one of the greatest determinants of our happiness, productivity, social wellbeing and quality of life. Time-use habits, for better or worse, are entrenched in daily routines that are difficult to break. This project aims to use existing population datasets to identify when during their life people are most likely to change their time-use habits, and to describe who may be at g ....Harnessing life-course transitions to optimise time-use behaviour habits. At every stage of life, how we use our time is one of the greatest determinants of our happiness, productivity, social wellbeing and quality of life. Time-use habits, for better or worse, are entrenched in daily routines that are difficult to break. This project aims to use existing population datasets to identify when during their life people are most likely to change their time-use habits, and to describe who may be at greatest risk of making unfavourable changes (e.g., replacing physical activity with sedentary time, not getting enough sleep). Expected outcomes include new analytical methods to understand time-use routines and new knowledge to inform future time-use improvement strategies to enable Australians to live their best life.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240101049
Funder
Australian Research Council
Funding Amount
$432,485.00
Summary
Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumou ....Modeling the Diffusion of Evolving Rumours in Social Networks. This project aims to model the complex evolution and diffusion process of evolving rumours in social media. This project expects to develop new theories and associated techniques from operational research (adaptive genetic algorithms), mathematics (network theory), and machine learning (generative adversarial networks) to tackle the challenges in this project. This project aims to develop (1) novel models for the evolution of a rumour, (2) novel models for the diffusion of an evolving rumour, and (3) techniques for detecting the diffusion sources of the original rumour and its mutations. This not only will constitute a major advancement in the theory and application of rumour study but also lead the decision-makers in debunking rumours.Read moreRead less