Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribut ....Technological innovation and change in supply chain integration. In examining emerging technology that can transform the performance of Australian industry we address the following priority goals: better understanding the processes that will advance knowledge and facilitate the development of technological innovations; the potential application of Radio Frequency Identification (RFID) technologies across an entire supply chain; and the improved management of information in the storage, distribution, and delivery of products (smart information use). Improvement in the operational efficiency and performance of the supply chain will increase national wealth while minimising environmental impacts on the environment, for example, through the better utilisation of heavy freight carriers.Read moreRead less
Special Research Initiatives - Grant ID: SR0354781
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Research Network for Engineering a Secure Australia (RNESA). The Research Network for Engineering a Secure Australia (RNESA) is a multi-disciplinary collaboration established to strengthen Australia's science and technology capacity for protecting the Nation's critical infrastructure from natural or human-caused disasters. RNESA will facilitate a knowledge sharing network for government, universities and the private sector to produce innovative engineering solutions to the emerging security prob ....Research Network for Engineering a Secure Australia (RNESA). The Research Network for Engineering a Secure Australia (RNESA) is a multi-disciplinary collaboration established to strengthen Australia's science and technology capacity for protecting the Nation's critical infrastructure from natural or human-caused disasters. RNESA will facilitate a knowledge sharing network for government, universities and the private sector to produce innovative engineering solutions to the emerging security problems relating to the safety of critical infrastructure. This initiative will draw together researchers across disciplines to identify a roadmap for future R&D in this area. RNESA's final outcomes will lead to multi-hazard mitigation strategies and a real-time crisis support network to enable the nation to manage potential disasters.Read moreRead less
ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relat ....ARC Research Network for a Secure Australia. The Research Network for a Secure Australia (RNSA) is a multi-disciplinary collaboration established to strengthen Australia's research capacity for protecting critical infrastructure from natural or human-caused disasters including terrorist acts. The RNSA will facilitate a knowledge-sharing network for research organisations, government and the private sector to develop research tools and methods to mitigate emerging safety and security issues relating to critical infrastructure. World-leaders with extensive national and international linkages in relevant scientific, engineering and technological research will lead this collaboration. The RNSA will launch various activities to foster research collaboration and nurture young investigators.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100026
Funder
Australian Research Council
Funding Amount
$4,969,663.00
Summary
ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway an ....ARC Training Centre for Cell and Tissue Engineering Technologies. The ARC Training Centre for Cell and Tissue Engineering Technologies aims to provide training to create a highly skilled workforce for the tissue engineering and regenerative medicine sector and to enhance research performance and innovation in Australia through fundamental and applied research carried out in industry-led PhD projects. The research aims to address major aspects of the manufacturing and commercialisation pathway and barriers faced by the sector, namely improving process efficiencies, enabling early-stage scale-up (cell/tissue) and development of the sector's supply chain. The knowledge created and research undertaken would help to accelerate commercialisation in regenerative medicine, tissue engineering and cell therapies.Read moreRead less
Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypothe ....Enhanced Humans, Robotics and the Future of Work. The aim of the project is to generate new and powerful understandings of the social consequences of robotics and artificial intelligence. The project aims to develop an understanding of technologically-mediated mobility processes and test their capacity to address such issues as social futures and the sorts of digital skills that Australians will require for future jobs. It plans to use social theory to explore technological scenarios and hypotheses concerning possible societal futures in Australia and beyond. Project outcomes may inform social science and contribute to worldwide efforts to solve global policy problems from work and unemployment to lifestyle change.Read moreRead less
Special Research Initiatives - Grant ID: SR0354693
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in ....Australian e-Research Grid. The e-Research Grid program will research and implement core Grid technologies on APAC and partner's deployed HPC resources, to underpin a broad range of Australian research. The computer science CIs will form collaborative links with international programs, adapting developments to local circumstances. The applications-domain CIs will leverage those into their scientific simulations and databases, using grid integrative techniques and portals. Many CIs participate in other RNs linking to their motivating applications, enhancing prospects for research and integration. They participate in the APAC Grid program, leveraging 75 HPC staff nationally. A key aim is interoperability with "real-world Grids": eg e-learning & e-health programs.Read moreRead less
Special Research Initiatives - Grant ID: SR0354852
Funder
Australian Research Council
Funding Amount
$10,000.00
Summary
Sustainable Regions for a Competitive Australia. How can metropolitan, rural and remote regions balance economic and job growth, with environmental and social sustainability? This Initiative establishes a Network of researchers to work collaboratively on questions of environmental best practice, community development, regional governance, labour markets, economic development and technology transfer. The Network's vision is to find ways to use existing and future research to help make Australia ....Sustainable Regions for a Competitive Australia. How can metropolitan, rural and remote regions balance economic and job growth, with environmental and social sustainability? This Initiative establishes a Network of researchers to work collaboratively on questions of environmental best practice, community development, regional governance, labour markets, economic development and technology transfer. The Network's vision is to find ways to use existing and future research to help make Australia's regions more competitive on world markets and more environmentally sustainable, and to help build stronger regional communities. The Network cuts across traditional discipline boundaries to find integrated solutions to the real problems confronting Australian regions.Read moreRead less
Testing the integration and differentiation of national employment systems: multinational enterprises in an international comparative context. Multinational enterprises play a leading role in shaping employment practices as their power disproportionately influences the direction of change in managing people. This project, conducted across six countries, enhances our understanding of how these organisations influence and shape the employment practices and systems in host contexts.
Hotspots of endemism for invertebrate conservation in south-east Australia. The project aims to identify and predict hotspots of species endemism to guide conservation and restoration efforts. This work is significant in the current extinction crisis because endemic species (those unique to a region) are at higher risk of extinction due to human causes. The project will model the relationship of narrow range endemic species with contemporary and past environments, estimate the historical loss of ....Hotspots of endemism for invertebrate conservation in south-east Australia. The project aims to identify and predict hotspots of species endemism to guide conservation and restoration efforts. This work is significant in the current extinction crisis because endemic species (those unique to a region) are at higher risk of extinction due to human causes. The project will model the relationship of narrow range endemic species with contemporary and past environments, estimate the historical loss of species through land-clearing and fire, and predict future responses to climate change, to inform conservation planning. Lastly, it will test the efficacy of habitat transplants in restoring local invertebrate assemblages. Benefits include better informed conservation planning and new restoration approaches.Read moreRead less
Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, i ....Decomposition and Duality: New Approaches to Integer and Stochastic Integer Programming. Because of their rich modelling capabilities, integer programs are widely used in industry for decision making and planning. However their solution algorithms do not have the maturity of their cousins in convex optimisation, where the theory of strong duality is ubiquitous. Efficient methods for convex optimisation under uncertainty do not apply to the integer case, which is highly non-convex. Furthermore, integer models usually assume the data is known with certainty, which is often not the case in the real world. This project will develop new theory and algorithms to enhance the analysis of integer models, including those that incorporating uncertainty, while also enabling the use of parallel computing paradigms. Read moreRead less