Discovery Early Career Researcher Award - Grant ID: DE220101435
Funder
Australian Research Council
Funding Amount
$452,000.00
Summary
Combatting Coordinated Inauthentic Behaviour on Social Media. Online disinformation is a global problem that threatens national security and is harmful to society. However, current methods are not suited to detect coordinated disinformation operations that conceal their activity by co-opting and cultivating regular users, groups and social movements. This project develops cutting-edge methods and workflows to accurately distinguish genuine activity from coordinated inauthentic behaviour, and to ....Combatting Coordinated Inauthentic Behaviour on Social Media. Online disinformation is a global problem that threatens national security and is harmful to society. However, current methods are not suited to detect coordinated disinformation operations that conceal their activity by co-opting and cultivating regular users, groups and social movements. This project develops cutting-edge methods and workflows to accurately distinguish genuine activity from coordinated inauthentic behaviour, and to trace and evaluate the adoption of material spread by malicious actors across multiple platforms.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120101161
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Compressive sensing based probabilistic graphical models (PGM). The aim of the project is to develop fast, large scale probabilistic graphical models (PGM) learning and inference methods. The resulting system will be able to process large scale PGMs on a standard PC, and will be easily extendable to computer clustering for larger scale PGMs requiring higher precision.
Discovery Early Career Researcher Award - Grant ID: DE120100776
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Designing process models to support communication and decision-making. This project will develop guidelines to assist analysts in describing business processes by identifying theoretical factors of process model quality. The outcomes will make it easier to make informed decisions about process re-design, business innovation or software development, thus contributing to project cost savings and better processes.
Discovery Early Career Researcher Award - Grant ID: DE160100548
Funder
Australian Research Council
Funding Amount
$298,000.00
Summary
Conceptualizing and Measuring Digital Service Quality. The project aims to understand customer quality perceptions of digital services, and the factors, such as customer's own skill-levels, that help people to optimise their experiences. Public and private organisations are pushing customers from face-to-face to digital service and self-service models, sometimes offering no alternatives (eg many travel visas can only be obtained online). E-commerce research suggests up to 80 per cent of service ....Conceptualizing and Measuring Digital Service Quality. The project aims to understand customer quality perceptions of digital services, and the factors, such as customer's own skill-levels, that help people to optimise their experiences. Public and private organisations are pushing customers from face-to-face to digital service and self-service models, sometimes offering no alternatives (eg many travel visas can only be obtained online). E-commerce research suggests up to 80 per cent of service users will sometimes struggle with online transactions. In the worst case, people may be excluded from accessing important services. Insights from this research are expected to help public and private organisations to deliver high-quality digital services that empower service users.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101775
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Distributed large-scale optimisation methods in computer vision. With the number of images and video available over the internet reaching billions and growing, the need for new tools for handling and interpreting such huge amounts of data is quickly becoming apparent. This project will focus on developing new optimisation methods for efficiently computing solutions for a broad class of large-scale problems.
Discovery Early Career Researcher Award - Grant ID: DE140101749
Funder
Australian Research Council
Funding Amount
$379,480.00
Summary
A computational network model of the mental lexicon. Understanding a word's meaning is a challenge when learning a language and a capacity that is seriously affected in various disorders such as Alzheimer's disease, however little is known about how meaning is organised in the mental lexicon and evolves from childhood into old age. This project aims to build a detailed computational model integrating information available through the senses and structure in the language environment to derive a l ....A computational network model of the mental lexicon. Understanding a word's meaning is a challenge when learning a language and a capacity that is seriously affected in various disorders such as Alzheimer's disease, however little is known about how meaning is organised in the mental lexicon and evolves from childhood into old age. This project aims to build a detailed computational model integrating information available through the senses and structure in the language environment to derive a lexicon that covers most words people know. By distinguishing qualitative different types of meaning relations, this project will allow the prediction of the kind of information and processes required to understand words and an understanding of how this lexicon grows in childhood and declines in old age.Read moreRead less