Discovery Early Career Researcher Award - Grant ID: DE220100847
Funder
Australian Research Council
Funding Amount
$394,868.00
Summary
RECONNECT ME: REgaining CONtrol of childreN’s EleCTronic MEdia . This project aims to understand the impact that screen behaviours have on children’s quality of life, social skills and family functioning, and co-design feasible, acceptable and effective behavioural and digital strategies to mitigate this impact. Parents are concerned and are seeking urgent help in the persistent and evolving technology climate, where previous strategies are no longer relevant. Expected outcomes include new knowl ....RECONNECT ME: REgaining CONtrol of childreN’s EleCTronic MEdia . This project aims to understand the impact that screen behaviours have on children’s quality of life, social skills and family functioning, and co-design feasible, acceptable and effective behavioural and digital strategies to mitigate this impact. Parents are concerned and are seeking urgent help in the persistent and evolving technology climate, where previous strategies are no longer relevant. Expected outcomes include new knowledge of the impact of screen time, and the co-design of innovative and user-friendly strategies developed with families, for families, to manage this. The benefits will include informing future effective and scalable screen time strategies for improved quality of life, social skills, family functioning outcomes.Read moreRead less
AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by human ....AI-Human Empowered Team Decision-Making. This project aims to introduce machine intelligence into human team decision-making using the brain-to-brain synchrony that arises when people cooperate toward achieving a goal. The expected outcomes are models and indicators of this synchrony, and methods to fuse individual human decisions with autonomous machine agents, into collective decisions. This new knowledge is expected to greatly increase our understanding of cooperative decision-making by humans and machine agents. The tools produced are expected to provide a computational basis for human-autonomy teaming, the core of Industry 5.0, that software developers and end-users in various industries could further build upon to optimise complex decision-making to benefit humanity.Read moreRead less
Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and w ....Building crowd sourced data curation processes. This project aims to tackle the growing problem of data curation. The capacity to effectively utilise the increasing number of datasets available to organisations for timely decision making is diminishing, due to onerous data preparation and curation tasks that have to be performed before the data can be consumed by analytics platforms. The project will be a first attempt at using a novel process-oriented approach in micro-task crowdsourcing, and will create new knowledge to harness the full potential of crowd sourced data curation. This is expected to make a significant benefit towards enhanced organisational capacity to accelerate the time-to-value from data analytics projects.Read moreRead less
Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. Th ....Brain Robot Interface for Physical Human Robot Collaboration. This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. The model and algorithms are intended to be integrated into an innovative brain-robot interface for field testing in a real-world industrial task. Translation of the outcomes to industry is expected to produce substantial economic and societal benefits through improved productivity and safety.Read moreRead less
Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical ....Immersive analytics: interactive data analysis using surfaces and spaces. This project aims to explore the potential for new immersive display and interaction technologies to greatly enhance the field of visual data analytics. Humans struggle to understand the masses of complex data they now accumulate. Visual data analytics offers a solution. The project expects to provide practical and theoretical frameworks for immersive data analysis and valuable intellectual property on the first practical tools for immersive data analytics. This will provide significant benefits, such as allowing those across government and industry to make more informed decisions from data.Read moreRead less
Deeper, Wider, Faster program: Detecting the fastest bursts in the Universe. This Project aims to progress a novel collaboration of worldwide facilities operating at all-wavelengths to discover and rapidly follow up the fastest bursts in the Universe (those lasting only milliseconds to hours). This Project aims to increase the program's scientific output that searches an unexplored time regime and aims to uncover new phenomena and physics. The challenges of 'real-time' identification of the fa ....Deeper, Wider, Faster program: Detecting the fastest bursts in the Universe. This Project aims to progress a novel collaboration of worldwide facilities operating at all-wavelengths to discover and rapidly follow up the fastest bursts in the Universe (those lasting only milliseconds to hours). This Project aims to increase the program's scientific output that searches an unexplored time regime and aims to uncover new phenomena and physics. The challenges of 'real-time' identification of the fast-fading events, including supercomputer data processing and sophisticated data visualisation and sonification techniques, offer an ideal platform to test and accelerate Big Data analyses in science, medicine, and industry, and increase public STEM participation, including the blind and visually-impaired community.Read moreRead less