Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance depen ....Intergenerational Disadvantage: Causes, Pathways, and Consequences. This Project aims to prevent poor Australian children from becoming poor adults by developing scientific evidence and creative policy approaches to overcome entrenched disadvantage. The Project will generate new knowledge on how social assistance dependence is linked across generations using new Australian data. Expected outcomes are the identification of i) the causal link between parents’ and children’s social assistance dependence; ii) the pathways through which youths overcome disadvantage; and iii) the role of family structure in transmitting disadvantage. Transforming the evidence base, the findings will have significant benefits in redesigning the Australian social safety net, promoting social and economic mobility.Read moreRead less
The use of nudges as a local government environmental policy instrument. This project aims to design and rigorously test a range of behavioural nudges to improve the environmental behaviour of residents in the ACT, with a focus on adoption of low carbon technologies and the use of public transport. In partnership with the ACT Government, the proposal leverages recent research on cognitive biases to develop novel interventions and evaluate their effects via randomised controlled trials. Expected ....The use of nudges as a local government environmental policy instrument. This project aims to design and rigorously test a range of behavioural nudges to improve the environmental behaviour of residents in the ACT, with a focus on adoption of low carbon technologies and the use of public transport. In partnership with the ACT Government, the proposal leverages recent research on cognitive biases to develop novel interventions and evaluate their effects via randomised controlled trials. Expected outcomes include new concepts for citizen-government interactions; advanced knowledge in public policy and behavioural economics; a new statistical programming tool; new methods to optimise policy and practice; and positive environmental and economic impacts for local governments and individuals.Read moreRead less
A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise th ....A Data-Centric Mobile Edge Platform for Resilient Logistics & Supply Chain. This project aims to develop a secure mobile edge computing platform for resilient logistic and supply chain management. It consists of easy-used functions that help businesses realise low latency, high reliability, low cost, and high security in their logistics and supply chain system. To cope with the vast generated application data, we invent new data replication, placement, and deduplication techniques to optimise the mobile edge computing platform from the computation, storage, and network aspects. The invented mobile edge computing platform will enable more intelligent business applications for various industries, e.g., IT, manufacturing, and media, to appear, thus benefiting both the economy of Australia.Read moreRead less
Australian Seasonal Workers Programme and well-being impacts in Timor-Leste. This research aims to investigate the impacts of Australia’s Seasonal Workers Programme and South Korea’s Employment Permit System on the well-being of migrant workers and their families in Timor-Leste (East Timor). The contribution of this research to scholarship would be the creation of a sound method to measure the impact of temporary labour migration on well-being across various aspects of life that can be used by r ....Australian Seasonal Workers Programme and well-being impacts in Timor-Leste. This research aims to investigate the impacts of Australia’s Seasonal Workers Programme and South Korea’s Employment Permit System on the well-being of migrant workers and their families in Timor-Leste (East Timor). The contribution of this research to scholarship would be the creation of a sound method to measure the impact of temporary labour migration on well-being across various aspects of life that can be used by researchers in Timor-Leste and elsewhere to evaluate the development impacts of such migration schemes. The data will inform evidence-based policies to improve temporary labour migration schemes, meet urgent development priorities in Timor-Leste, and maximise the benefits of Australian aid funded labour migration schemes.Read moreRead less
Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game ....Cost-effective and Reliable Edge Caching for Software Vendors. This project aims to deliver a suite of models and techniques for cost-effective and reliable data caching in the multi-access edge computing (MEC) environment facilitated by 5G mobile network. MEC offers great promises for rapidly advancing mobile and IoT applications in various domains in Australia, e.g., smart cities, remote medical services, advanced manufacturing, etc. Combining graph analytics, optimisation techniques and game theory, this project tackles the new challenges in the placement, update and adaptation of edge data faced by software vendors embracing 5G. The outcomes can ease software vendors' cost and security concerns during the transition from 4G to 5G, and significantly promote the wave of 5G innovation in Australia.Read moreRead less
The impact of income support design on the outcomes of children and youth. This project aims to assess how children from low-income families are affected by welfare policy design in Australia – specifically, by policy intended to influence welfare payment receipt and workforce participation of their parent(s). Causal impacts of policy design on children will be identified and evaluated using unique administrative and survey data, and treating recent welfare reforms in Australia as natural experi ....The impact of income support design on the outcomes of children and youth. This project aims to assess how children from low-income families are affected by welfare policy design in Australia – specifically, by policy intended to influence welfare payment receipt and workforce participation of their parent(s). Causal impacts of policy design on children will be identified and evaluated using unique administrative and survey data, and treating recent welfare reforms in Australia as natural experiments.. This will be the first comprehensive Australian analysis of intergenerational impacts of welfare policy design.Read moreRead less
Financial decision making in late adulthood. The project aims to examine links between cognitive changes and financial decision-making in late adulthood and also to assess the preparedness of the elderly to combat financial risks due to age-related cognitive decline. Further, it intends to examine how age, education, wealth, health, and other environmental factors influence transfer of financial decision-making responsibilities to spouses or others. It is expected that the research will provide ....Financial decision making in late adulthood. The project aims to examine links between cognitive changes and financial decision-making in late adulthood and also to assess the preparedness of the elderly to combat financial risks due to age-related cognitive decline. Further, it intends to examine how age, education, wealth, health, and other environmental factors influence transfer of financial decision-making responsibilities to spouses or others. It is expected that the research will provide a greater understanding of how cognitive functioning and other factors affect older adults’ financial capacity and willingness to delegate decision-making responsibilities. This understanding could be used to inform policy initiatives to protect elderly individuals and their family members from the risk of financial mismanagement.Read moreRead less
Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies ....Efficient Multi-key Homomorphic Encryption and Its Applications. Multi-key homomorphic encryption (MKHE) is a key technology that functions to allow multiple users to supply their private input for collaboration in the cloud while keeping the user data confidential. Unfortunately, it is very difficult to obtain efficient MKHEs. This project aims to overcome this challenge by enabling novel efficient MKHEs. The expected outcomes of this project are to develop innovative cryptographic technologies which realise efficient MKHEs, together with their cryptographic libraries and practical applications in solving industry problems. This will provide direct economic benefits to Australian industry through the enablement of advanced technologies and low-cost business solutions which are developed in Australia.Read moreRead less
Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The e ....Enabling Anonymity and Privacy for Blockchain Technology in a Quantum World. Blockchain is a promising technology in the digital world today. However, existing approaches for enabling blockchain applications, particularly with privacy protection and anonymity, are vulnerable to quantum computer attacks. This project aims to enable novel cryptographic mechanisms together with their cryptographic libraries for protecting blockchain in the quantum world, hence, post-quantum secure blockchain. The expected outcomes of this project include innovative technologies, as well as secure and practical post-quantum protocols for protecting future blockchain applications. This will provide economic and social benefits to Australian industry through the enablement of advanced technologies which are developed in Australia.Read moreRead less
RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University ....RAINBOW - RAdIo Networks Based On machine learning for situation aWareness. This project aims to develop software-defined and cognitive radio networks (SDR) to detect adversarial communications and achieve situation awareness on radio frequency (RF) spectrum. The project will generate novel SDR architectures and new attack-resistant detection algorithms through innovative approaches combining machine learning and game theory. Expected outcomes include a strategic alliance between the University of Melbourne and the Northrop Grumman Corporation. Among significant benefits, the project will improve cybersecurity of RF spectrum as a national asset, help protect critical infrastructure relying on wireless networks such as telecommunications and defence, and build skills in cybersecurity and Artificial Intelligence.Read moreRead less