The Effectiveness Of A Comprehensive ‘universal’ And ‘targeted’ Intervention To Prevent Substance Use And Related Harms In Adolescents: The CAP Project
Funder
National Health and Medical Research Council
Funding Amount
$755,906.00
Summary
Alcohol and other drug use are common amongst Australian adolescents and the disability associated with this use is considerable. Prevention is clearly needed, yet we have few models of well implemented prevention programs that are effective in maximisising prevention outcomes.The current proposal addresses this gap by evaluating a novel approach to preventing substance use and related harms in adolescents by combining effective 'universal' and 'targeted' school-based prevention programs in a su ....Alcohol and other drug use are common amongst Australian adolescents and the disability associated with this use is considerable. Prevention is clearly needed, yet we have few models of well implemented prevention programs that are effective in maximisising prevention outcomes.The current proposal addresses this gap by evaluating a novel approach to preventing substance use and related harms in adolescents by combining effective 'universal' and 'targeted' school-based prevention programs in a sustainable delivery platform.Read moreRead less
A Telehealth Mediated Nursing Intervention (PRISMS) To Enable Patient Monitoring And Self-care In Haematological Cancer Patients: A Randomised Controlled Trial
Funder
National Health and Medical Research Council
Funding Amount
$936,632.00
Summary
People with cancer are required to monitor and to initiate self care activities to manage side effects at home. In haematological cancer patients these side effects are often severe and life-threatening. Safe home care requires close communication with the health team. We will test if a mobile phone based system can: support patients to monitor their side effects; promote the delivery of evidence based self care advice in a timely manner; and mediate the role of nurses to effectively provide rea ....People with cancer are required to monitor and to initiate self care activities to manage side effects at home. In haematological cancer patients these side effects are often severe and life-threatening. Safe home care requires close communication with the health team. We will test if a mobile phone based system can: support patients to monitor their side effects; promote the delivery of evidence based self care advice in a timely manner; and mediate the role of nurses to effectively provide real-time patient support.Read moreRead less
Preventing Anxiety, Depression And Substance Use In Adolescents.
Funder
National Health and Medical Research Council
Funding Amount
$1,709,988.00
Summary
Anxiety, depressive and substance use disorders account for three quarters of the disability attributed to mental disorders. Yet we have few models of well-implemented prevention programs for these common disorders. The current proposal addresses this gap by evaluating an innovative internet-based approach to preventing mental health and substance use problems in Australian adolescents.
The impact of location-specific urban digital social information networks and public displays on the City of Melbourne. The purpose of this project is to enhance the city as a vibrant destination by taking digital content and anchoring it in the physical world. The outcomes will be physical nodes of interaction in urban cultural hubs - e.g., museums, libraries, cafes - allowing users to post media, stories and events that are locally relevant for others to consume.
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
Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality re ....Object-based motion estimation for highly efficient streaming video. This project aims to develop motion and shape estimation tools that allow video content to be predicted at any point in time using frame data that is available at other points in time. Applications of this include video coding, frame synthesis for temporal re-sampling. The project expects to develop algorithms for jointly estimating compact motion and shape descriptions of video content. These descriptions will allow quality refinement by progressively adding spatial and temporal detail. It is expected that these compact descriptions will lead to significantly more flexible and efficient transmission of video content over modern communications networks.Read moreRead less
Australia & New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network
Funder
National Health and Medical Research Council
Funding Amount
$2,497,654.00
Summary
Arthritis and musculoskeletal conditions place an immense and growing burden on the world’s population. They affect 28% of Australians (>6.1 million people). With the support of CRE funding, the Australia and New Zealand Musculoskeletal (ANZMUSC) Clinical Trials Network will optimise musculoskeletal health through high quality, collaborative clinical research, building research capacity and effective transfer of research outcomes into clinical practice and health policy.
Discovery Early Career Researcher Award - Grant ID: DE180100428
Funder
Australian Research Council
Funding Amount
$378,392.00
Summary
Developing an Arab culture of investigative journalism. This project aims to critically evaluate the extent to which an Arab culture of investigative journalism could be established. Investigative journalism has critical importance to the enhancement of independent media systems, especially in restrictive media environments. Understanding that investigative journalism training and practice should lead to transparent and representative political systems, this project examines whether Western fram ....Developing an Arab culture of investigative journalism. This project aims to critically evaluate the extent to which an Arab culture of investigative journalism could be established. Investigative journalism has critical importance to the enhancement of independent media systems, especially in restrictive media environments. Understanding that investigative journalism training and practice should lead to transparent and representative political systems, this project examines whether Western frameworks are suitable for conceptualising non-Western investigative journalism cultures. It will develop a theoretical model for investigative journalism specific to the Arab world.Read moreRead less
Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment ....Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment areas. The expected outcome would be a system that gives families a wider choice, enabling them to enrol in out-of-area schools, while ensuring that allocations remain fair, equitable and balanced, and also delivering benefits such as achieving a desired level of diversity in student populations within schoolsRead moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100477
Funder
Australian Research Council
Funding Amount
$421,554.00
Summary
Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and ....Advancing Human Perception: Countering Evolving Malicious Fake Visual Data. The aim of this project is to provide new effective and generalisable deepfake detection methods for automatically detecting maliciously manipulated visual data generated by misused artificial intelligence (AI) techniques. It will present innovative computer vision and image processing knowledge and techniques, enabling the developed methods to advance human perception in recognising fake data, enhance cybersecurity, and protect privacy in AI applications. The anticipated outcomes should provide significant benefits to a wide range of applications, such as providing timely alerts to the media, government organisations, and the industry about misleading fake visual data, and preventing financial crimes on synthetic identity fraud.Read moreRead less