Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XM ....Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources. This project aims to investigate and develop techniques to improve customer relationship management (CRM) for public and private organisations. It aims to develop an intelligent framework to assist in adaptive marketing and management of customers. The framework is designed to manage multiple information resources for information sharing, and to synthesise knowledge through visualisation. Intended outcomes are standardised XML profiles for the different data sets and business processes, novel techniques for conjoint mining of structured and semi-structured data, and adaptive business intelligence techniques. The results will be validated using large real-world data sets provided by the partner organisation.Read moreRead less
ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environme ....ARC Research Network in Enterprise Information Infrastructure. EII targets consolidated research towards the comprehensive development & establishment of advanced information infrastructures. Its prime purpose is to provide a forum for intellectual exchange by diverse yet complementary research groups, to address the fundamental research problems faced by scientific & business communities when dealing with deployment of information technology to globally distributed, and data intensive environments. EII will address 3 tightly coupled research themes: Ability to interoperate across existing heterogenous platforms & applications; Efficient processing of very large data sets; Technology adoption & impact. Generic results will be applicable to e-science and large business information systems installations.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Managing and mitigating social risks of major infrastructure projects. This project aims to reduce social risks of major infrastructure projects by generating an evidence-based social risk management framework. It brings together leading ANU researchers with top organisations in Australia's infrastructure sector, already working together via the ANU Institute for Infrastructure in Society. The project seeks to improve social risk management in a multi-billion dollar sector, vital to all Australi ....Managing and mitigating social risks of major infrastructure projects. This project aims to reduce social risks of major infrastructure projects by generating an evidence-based social risk management framework. It brings together leading ANU researchers with top organisations in Australia's infrastructure sector, already working together via the ANU Institute for Infrastructure in Society. The project seeks to improve social risk management in a multi-billion dollar sector, vital to all Australians. The project is significant because it adopts a sector-wide view to systematically define social risk, co-create a social risk management framework and implement it via a new social risk management toolkit. This should lessen harm to communities, reduce delays and costs and benefit national infrastructure delivery.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100030
Funder
Australian Research Council
Funding Amount
$270,000.00
Summary
Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software ....Test-bed for Wide-Area Software Defined Networking Research. Test bed for wide-area software defined networking research: This project aims to develop a wide-area test bed, spanning ten organisations, for conducting research and experimentation in the emerging disruptive technology of Software Defined Networking (SDN). SDN is likely to bring long-term transformation to the networking industry, much like cloud computing did, by enabling dynamic virtualised elastic network services under software control. The test bed will empower Australian researchers in network technologies and dependent applications (for example, multimedia and security) to collaboratively develop and demonstrate novel ideas at scale. This is expected to benefit Australia by giving our researchers international recognition in this nascent area, and developing a national talent pool for local industry.Read moreRead less
Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by ....Mitigating the Severity of Level Crossing Accidents and Derailments. Ongoing increases in the number of level crossings and heavy road vehicles cause more frequent and severe level crossing accidents and derailments. Despite the use of active warning systems, each year, on average, 100 level crossing accidents occur in Australia. With a view to mitigating these crashes, this research aims to formulate theories for reduction in crash energy and effective wheel constraints to prevent derailment by modifying the levels of road and rail crossings and providing guard rails in the recesses of these modified level crossings. The theories are intended be developed using nonlinear dynamic computational methods and laboratory experiments. The outcomes are expected to enable reduction in the severity of level crossing accidents and hence save lives and costs of derailment.Read moreRead less
A community based social identity approach to loneliness. Loneliness across Australia is a deep concern. Social prescribing is a novel community-based approach to managing loneliness, however it is unclear when and in what circumstances it is effective. This project aims to test a social identity approach to loneliness, incorporating longitudinal, cross-sectional, and experimental methods to understand how best to engage isolated people in group programs. The expected benefits of this project ar ....A community based social identity approach to loneliness. Loneliness across Australia is a deep concern. Social prescribing is a novel community-based approach to managing loneliness, however it is unclear when and in what circumstances it is effective. This project aims to test a social identity approach to loneliness, incorporating longitudinal, cross-sectional, and experimental methods to understand how best to engage isolated people in group programs. The expected benefits of this project are to produce a validated social prescribing model that can be implemented in multiple settings across Australia in order to reduce loneliness, strengthen communities, and guide more appropriate uses of health services.Read moreRead less
Working longer, staying healthy and keeping productive. Working longer, staying healthy and keeping productive. This project aims to develop a policy suite to respond to an older workforce. By 2060, nearly half of Australians aged 64 or older will be employed. Failure to address their health problems could threaten Australia’s economy, tax base and provision of health and care services. This collaboration between national policy portfolios (employment, social services, workplace health and socia ....Working longer, staying healthy and keeping productive. Working longer, staying healthy and keeping productive. This project aims to develop a policy suite to respond to an older workforce. By 2060, nearly half of Australians aged 64 or older will be employed. Failure to address their health problems could threaten Australia’s economy, tax base and provision of health and care services. This collaboration between national policy portfolios (employment, social services, workplace health and social equity) and expert scientists in work, health, social equality and policy process intends to reveal the diversity of older workers’ work-health dilemmas and effective ways for national policies to solve them. The policy suite will promote financial independence and meet social goals of equity and healthy ageing.Read moreRead less
ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this te ....ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing. Sensor networks, a collection of diverse sensors interconnected via an ad-hoc communication network, are identified as one of the key technologies that over the next two decades will change the way we live. This research network brings together an interdisciplinary team of outstanding Australian researchers representing all the key disciplines required to successfully deploy sensor networks and links this team with the foremost international authorities and leading industry players in the area of sensor networks. This research network will guide collaborative research that will ensure Australia to play a world leading role in sensor network development and implementation.
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Examining multi-level Information Technology (IT) project alignment in government services: the case of contracted employment services. Improved Information Technology (IT) alignment is essential for the delivery of government services within a complex public-private, inter-organisational environment. This project will investigate the extent to which well-aligned IT support systems contribute positively to the efficient and effective delivery of contracted employment services.