The financialisation of older persons residential parks and rental villages. The project aims to explore and explain contemporary change in the residential parks and communities (PC) and rental villages (RV) sectors, and to set out policy implications, including for housing affordability; housing legal rights; ageing support and care; and financial services consumer protection.
Pitched to older persons as affordable alternatives to homeownership and to retirement villages, PCs and RVs are chang ....The financialisation of older persons residential parks and rental villages. The project aims to explore and explain contemporary change in the residential parks and communities (PC) and rental villages (RV) sectors, and to set out policy implications, including for housing affordability; housing legal rights; ageing support and care; and financial services consumer protection.
Pitched to older persons as affordable alternatives to homeownership and to retirement villages, PCs and RVs are changing, with new large corporate proprietors introducing new business models and housing offers. Financialisation perspectives offer new critical insights into the sectors, including their relations to wider housing and economic dynamics, the strategies and operations of sector organisations, and the everyday lives of residents.Read moreRead less
Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate researc ....Mapping the effect of social enterprise on regional city disadvantage. This project aims to explore how social enterprises affect wellbeing and community capacity in disadvantaged areas of regional cities. Governments increasingly invest in social enterprise to benefit individuals and places. This project will use a spatial methodology to map where and how benefits are realised. To date, robust evidence about how social enterprise affects disadvantage is lacking, partly due to inadequate research methodology. This project expects to provide web-based design tools and applications to assist regional city communities and councils in the development of social enterprises that can help disadvantaged people and places.Read moreRead less
Modelling the Causes of Regional Disparities across Australia. This project aims to explain the changing patterns of regional economic performance across Australia between 2001-2011 in the context of two developments: major structural shifts in world trade and commodity prices spawning massive mining growth and negative exchange rate impacts elsewhere (for example, manufacturing); and the financial crisis ending the credit boom leaving east coast economies struggling. The resulting regional disp ....Modelling the Causes of Regional Disparities across Australia. This project aims to explain the changing patterns of regional economic performance across Australia between 2001-2011 in the context of two developments: major structural shifts in world trade and commodity prices spawning massive mining growth and negative exchange rate impacts elsewhere (for example, manufacturing); and the financial crisis ending the credit boom leaving east coast economies struggling. The resulting regional disparities have policy implications for education and skills training, housing affordability, infrastructure provision, and community sustainability. These issues will be investigated using a new functional economic regions geography and state of art spatial modelling tools supplemented by regional case studies.Read moreRead less
How inequalities affect attitudes and behaviours concerning sex and gender. This project addresses how economic inequalities—between and within the sexes—shape behaviour, gender sentiment, and violence both online and ‘in real life’. The research brings evolutionary understandings of sexual marketplaces together with the psychology of social behaviour, to shed new light on the origins of sexual conflict and harmful gender ideologies. This project integrates within-individual variation, careful e ....How inequalities affect attitudes and behaviours concerning sex and gender. This project addresses how economic inequalities—between and within the sexes—shape behaviour, gender sentiment, and violence both online and ‘in real life’. The research brings evolutionary understandings of sexual marketplaces together with the psychology of social behaviour, to shed new light on the origins of sexual conflict and harmful gender ideologies. This project integrates within-individual variation, careful experimental dissection of the sources of inequality, and the study of large-scale (among cities, among countries) patterns of behaviour on social media. A fuller understanding of how and why inequalities affect behaviour presents opportunities for improved social policy and responses to gendered violence and cyberhate.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This p ....Structural-functional connectivity in the brain. This project aims to develop magnetic resonance imaging analysis methods to non-invasively study brain connectivity. Recent advances in imaging can comprehensively describe the brain’s complex network of functional and structural connections (the brain ‘connectome’). This project will simultaneously investigate structural and functional connectivity, and characterise the dynamic properties of the connectome using graph-theoretic approaches. This project should give neuroscientists computational tools to comprehensively map the network architecture of the human brain.Read moreRead less
Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-tr ....Elucidating the post-transcriptional regulation of mast cell proteases. Mast cells (MCs) are immune cells that protect against pathogens but may induce deleterious inflammation. MC function is mediated by specific proteases that are pre-formed and stored in granules. These proteases have unique yet poorly understood mechanisms of regulation. The aim of the project is to use a novel suite of molecular tools and genetically modified mice to identify the critical regions of transcripts that post-transcriptionally regulate the production and storage of these proteins. The project aims to identify the RNA binding proteins, microRNAs and other novel factors that also regulate them. This is expected to elucidate the post-transcriptional mechanisms of regulation of MC proteases.Read moreRead less
Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and dece ....Reputation-based Trust Framework for Composed Services. This project aims at providing a uniform and efficient framework for bootstrapping, establishing, and propagating reputation in composed Web services. Reputation is used as a key criterion for establishing trust among composed Web services. Web services are de-facto the technology of choice for the deployment of an increasing number of Web-based solutions for such emerging applications as cloud computing. Because of the distributed and decentralised nature of the Web, there is a need to establish a trust framework for selecting and composing Web services. The key parameter will be based on Web service reputation in delivering services.Read moreRead less
Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while pres ....Privacy-preserving data processing on the cloud. This project aims to address the current lack of privacy of user data processed by common cloud computing web servers, including email, business data, and confidential files. This project aims to develop new techniques in cryptography. The anticipated outcome is a suite of practical tools enabling common cloud computing processing operations such as search, statistical analysis, and multi-user access control, to be performed efficiently while preserving the data privacy. These tools should provide significant benefits to the privacy of cloud users, as well as financial and reputation benefits to the IT industry, by significantly reducing the likelihood of massive user data privacy breaches in the event of a cyber-hacking attack on the cloud server.Read moreRead less
Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident ....Intelligent Incident Management for Software-Intensive Systems. This project aims to develop intelligent incident management methods for software-intensive systems. Incidents are unplanned system interruptions or outages that could affect the normal operations of an organization and cause huge economic loss. This project expects to develop innovative, Artificial Intelligence (AI) based methods for automated incident management, including incident detection, incident identification, and incident triage. Expected outcomes of the project include a set of novel methods and tools that can facilitate incident diagnosis and resolution. This project will provide significant benefits, such as improving the availability of software-intensive systems and reducing the economic loss caused by the incidents. Read moreRead less