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Facilitating workplace change: Redefining the role of industrial tribunals in Australia. Amendments to the Fair Work Act 2009 passed in 2013 have the potential to re-define the role of Australia’s national workplace relations tribunal, the Fair Work Commission, by requiring it to promote cooperative and productive workplace relations. This project aims to identify an innovative model of tribunal intervention that meets these new imperatives through case studies from the Hunter region of NSW, whe ....Facilitating workplace change: Redefining the role of industrial tribunals in Australia. Amendments to the Fair Work Act 2009 passed in 2013 have the potential to re-define the role of Australia’s national workplace relations tribunal, the Fair Work Commission, by requiring it to promote cooperative and productive workplace relations. This project aims to identify an innovative model of tribunal intervention that meets these new imperatives through case studies from the Hunter region of NSW, where tribunal members have for two decades been working proactively with managers, employees and their representatives in major construction projects and large public sector organisations to achieve cooperative and effective workplace change. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200101310
Funder
Australian Research Council
Funding Amount
$426,918.00
Summary
Dimension-reduced Reinforcement Learning for Large-scale Fleet Management. This project aims to address the problems in large-scale fleet management to ensure the efficiency of tomorrow’s transportation models, such as on-demand ride-hailing and mobility-as-a-service. The expected outcomes of this project include improved techniques for optimising the utility of large fleets of vehicles, and particularly robust dimension-reduced reinforcement learning algorithms that are capable of handling the ....Dimension-reduced Reinforcement Learning for Large-scale Fleet Management. This project aims to address the problems in large-scale fleet management to ensure the efficiency of tomorrow’s transportation models, such as on-demand ride-hailing and mobility-as-a-service. The expected outcomes of this project include improved techniques for optimising the utility of large fleets of vehicles, and particularly robust dimension-reduced reinforcement learning algorithms that are capable of handling the complex dynamics of supply and demand in transportation. The results should advance both research and technology in academia and the transportation industry and will also provide significant benefits to Australia and the international community by enhancing the energy-efficiency of and access to the mobility of the future.Read moreRead less
Employee voice in Australia: the impact of employee participation arrangements on organisational performance and employee well-being. Given the extent of union decline in Australia, there is a need to update policy to reflect the new reality of low unionisation. This project will examine what alternative arrangements exist and their economic and social consequences. It focuses on the employee impacts and employer impacts of these arrangements and will inform current policy debates.
Discovery Early Career Researcher Award - Grant ID: DE120100501
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
The Advising Boards, corporate risk-taking and firm performance. Corporate governance, in particular the role of corporate boards, has been at the centre of recent regulatory reforms. To advance our understanding on the advising role of boards, this project examines boardroom social connections, entrepreneur directors, and how the advising boards contribute to corporate risk management and firm performance.
Robust Configuration of Evolutionary Algorithms. The purpose of this project is to develop an intelligent framework for the robust configuration of evolutionary algorithms. This research is driven by the fact that the current design of evolutionary algorithms is sub-optimal and ineffective for many problem domains. In the proposed framework, a configuration is evolved while the algorithm is running for problem solving to ensure robust design. Its scientific outcomes are expected to include a nov ....Robust Configuration of Evolutionary Algorithms. The purpose of this project is to develop an intelligent framework for the robust configuration of evolutionary algorithms. This research is driven by the fact that the current design of evolutionary algorithms is sub-optimal and ineffective for many problem domains. In the proposed framework, a configuration is evolved while the algorithm is running for problem solving to ensure robust design. Its scientific outcomes are expected to include a novel framework for the automated design of algorithms and new techniques for exploiting assumptions in algorithmic design that may have been overlooked. Expected practical outcomes include the provision of a robust problem-solving tool, strong research training and high-impact publications.Read moreRead less
Robust evolutionary analytics for changing and uncertain environments. This project aims to develop a novel framework for solving planning problems in dynamic environments with uncertainties. Current methods treat these conditions as two discrete problems. In the proposed framework, three algorithms will be developed and integrated to generate robust solutions for planning under dynamic changes with uncertainties. The intended outcomes include a novel framework with new techniques, developed by ....Robust evolutionary analytics for changing and uncertain environments. This project aims to develop a novel framework for solving planning problems in dynamic environments with uncertainties. Current methods treat these conditions as two discrete problems. In the proposed framework, three algorithms will be developed and integrated to generate robust solutions for planning under dynamic changes with uncertainties. The intended outcomes include a novel framework with new techniques, developed by exploiting the assumptions of existing methodologies. Practical outcomes will include a robust planning tool.Read moreRead less
Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating n ....Natural resources and ecosystem services in productivity measurement. This project aims to understand sources of productivity growth through addressing theoretical and practical problems in the economics of natural resources and ecosystem services. It will study the valuation of non-renewable resources and ecosystem services, acknowledging their contributions to economic activity and the effect on national income from their depletion and degradation. It will develop approaches to incorporating natural resource depletion and degradation into productivity analysis with the aim of better informing environmental, innovation and industry policy.Read moreRead less
Evolutionary Framework for High Dimensional Problems. The project aims to develop a novel framework for solving high dimensional decision problems with and without changes. This research is driven by the fact, that there is a huge gap between current research and the methodology needed to solve practical decision problems. In the proposed framework, a number of algorithms will be developed and integrated to generate robust solutions for those problems. The intended scientific outcomes include a ....Evolutionary Framework for High Dimensional Problems. The project aims to develop a novel framework for solving high dimensional decision problems with and without changes. This research is driven by the fact, that there is a huge gap between current research and the methodology needed to solve practical decision problems. In the proposed framework, a number of algorithms will be developed and integrated to generate robust solutions for those problems. The intended scientific outcomes include a novel framework with new techniques, developed by exploiting the impractical assumptions of existing methodologies. Practical outcomes include a robust decision-making tool and strong research training. The developed tool will provide significant cost savings through better decision making in practice.Read moreRead less
Reactive planning under disruptions and dynamic changes. This project aims to develop an algorithmic framework for reactive planning under unknown disturbances and dynamic changes. There is a huge gap between current research and the methodology needed to solve practical planning problems. The project will develop and integrate algorithms to ensure robust solutions for planning and re-planning under disruptions and dynamic changes. This project expects to develop an effective approach for solvin ....Reactive planning under disruptions and dynamic changes. This project aims to develop an algorithmic framework for reactive planning under unknown disturbances and dynamic changes. There is a huge gap between current research and the methodology needed to solve practical planning problems. The project will develop and integrate algorithms to ensure robust solutions for planning and re-planning under disruptions and dynamic changes. This project expects to develop an effective approach for solving complex decision problems, expand Australia’s knowledge base and research capability, and make it a leader in saving costs through better decision making.Read moreRead less
Task Contingent Units of Personality and Adaptive Performance. The project aims to test a model of adaptive personality, to cross-validate the model in Italy, China and the United kingdom, and to develop and test a model for the modification and development of adaptive personality factors that enhance adaptive performance. Adaptive tasks differ from routine tasks in degrees of novelty, difficulty and uncertainty which require higher levels and different types of cognitive processing. Individuals ....Task Contingent Units of Personality and Adaptive Performance. The project aims to test a model of adaptive personality, to cross-validate the model in Italy, China and the United kingdom, and to develop and test a model for the modification and development of adaptive personality factors that enhance adaptive performance. Adaptive tasks differ from routine tasks in degrees of novelty, difficulty and uncertainty which require higher levels and different types of cognitive processing. Individuals who adapt their focus, emotions and exploratory activities in response to the changing cognitive demands of tasks are expected to outperform those with less adaptive personalities. Those with more adaptive personalities are expected to perform better on problem solving, learning, innovation and development activities.Read moreRead less