Discovery Early Career Researcher Award - Grant ID: DE210100368
Funder
Australian Research Council
Funding Amount
$396,071.00
Summary
Algorithmic management and the future of work: lessons from the gig economy. The gig economy is at the forefront of ‘algorithmic management’, a major technological disruption of management, work, and employment. Used to replace humans as organisational managers, these systems are projected to spread wide across the Australian economy yet remain poorly understood. This study will systematically interrogate the nature and operations of algorithmic management across platforms operational in the Aus ....Algorithmic management and the future of work: lessons from the gig economy. The gig economy is at the forefront of ‘algorithmic management’, a major technological disruption of management, work, and employment. Used to replace humans as organisational managers, these systems are projected to spread wide across the Australian economy yet remain poorly understood. This study will systematically interrogate the nature and operations of algorithmic management across platforms operational in the Australian gig economy. It will explore the design and oversight of, workers’ experiences with, and the role end-users play in sustaining these systems. The study will generate state-of-the-art academic knowledge and provide guidance to policy makers on how to respond to, and where necessary regulate, algorithmic management.Read moreRead less
Building Industry Capacity To Lead Co-management Initiatives Within The Bass Strait Central Zone Scallop Fishery: Training Industry To Conduct Biomass Estimate Surveys
Funder
Fisheries Research and Development Corporation
Funding Amount
$90,462.00
Summary
There is a need to develop capacity within industry in order to progress future co-management initiatives in the Bass Strait Central Zone Scallop Fishery (BSCZSF). Central to future co-management initiatives will be industry’s ability to collect data in a systematic and scientific manner that is robust and reliable to inform management decision making. Industry needs to be trained to coordinate and collect data. This data may also deliver cost savings when compared to the current pre-season biom ....There is a need to develop capacity within industry in order to progress future co-management initiatives in the Bass Strait Central Zone Scallop Fishery (BSCZSF). Central to future co-management initiatives will be industry’s ability to collect data in a systematic and scientific manner that is robust and reliable to inform management decision making. Industry needs to be trained to coordinate and collect data. This data may also deliver cost savings when compared to the current pre-season biomass surveys.
The unprecedented impacts of the COVID-19 pandemic have forced industry and management to review existing research and management processes to ensure the on-going viability Australia’s fishing industry. Whilst the scallop fishery has to date been largely shielded from the impacts (a seasonal effect) there is tremendous uncertainty about the coming fishing year and markets. There is now a need to re-think the data collection processes for this fishery and provide the industry with the opportunity and capacity, under a co-management approach, to cost-effectively collect data to inform management decisions.
The coming season provides the perfect opportunity for the first steps into a new co-management paradigm. The biomass in western Bass Strait waters are significant, with many in the industry saying it’s the highest in over 40 years of fishing. Based on the 2019 TAC, the maximum harvest fraction last season was less than 9% of the surveyed biomass, noting it was even lower, as the TAC remained under-caught. Furthermore AFMA have recently announced that the formal pre-season biomass estimation survey will not proceed in 2020 due the uncertainties surrounding the impacts of COVID-19.
This project will investigate industry’s capacity to coordinate in-season biomass surveys and provide the opportunity for industry to understand the requirements to undertake formal scientific studies.
Objectives: 1. Build industry capacity to lead and participate in fishery data collection projects 2. Industry coordinated data collection to inform biomass estimation of the fishery 3. Industry coordinated data collection and data analysis to inform decision making and develop co-management arrangements Read moreRead less
While the AAHTS has been in operation for 9 years, there remains a need for the continual education and training of aquatic animal health professionals to enhance their skills across a range of specialist disciplines. Based on the significant outcomes from the previous nine years of the AAHTS, the Department of Agriculture has contributed $75,000.00 (less $7,500.00 (10%) management fee, cash contribution to FRDC) to ensure that the AAHTS continues to be implemented for a further 3-year period (2 ....While the AAHTS has been in operation for 9 years, there remains a need for the continual education and training of aquatic animal health professionals to enhance their skills across a range of specialist disciplines. Based on the significant outcomes from the previous nine years of the AAHTS, the Department of Agriculture has contributed $75,000.00 (less $7,500.00 (10%) management fee, cash contribution to FRDC) to ensure that the AAHTS continues to be implemented for a further 3-year period (2019/20-2021/22) with matching funding anticipated from the FRDC Aquatic Animal Health and Biosecurity Subprogram. Thus, an application is needed to generate an agreement between CSIRO-AAHL and FRDC for continuation of AAHTS which would be administered as previously, i.e., by CSIRO-AAHL (rather than FRDC) through the FRDC Aquatic Animal Health and Biosecurity Subprogram. Objectives: 1. To improve the knowledge and skills in aquatic animal health management to support Australia’s fishing and aquaculture industry, including the aquarium sector Read moreRead less
Academic Entrepreneurship in Australian Universities. ITRHs & ITTCs are a major funding sources to mentor future graduates that drive growth and innovation in today’s economy. However, changes based on evidence based research are needed to ensure that they are adapted to the task of creating entrepreneurial thinking, stimulating business creation and exploiting ideas in society. Multiple-case studies are generally regarded as more robust than single-case studies, providing the observation and an ....Academic Entrepreneurship in Australian Universities. ITRHs & ITTCs are a major funding sources to mentor future graduates that drive growth and innovation in today’s economy. However, changes based on evidence based research are needed to ensure that they are adapted to the task of creating entrepreneurial thinking, stimulating business creation and exploiting ideas in society. Multiple-case studies are generally regarded as more robust than single-case studies, providing the observation and analysis of a phenomenon in several settings. In order to satisfy the requirements of the replication strategy we analyze all funded ITRHs & ITTCs from 2012 to 2024.
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Responsible Urban Innovation with Local Government Artificial Intelligence. Artificial intelligence (AI) is not only becoming an integral part of urban services, but also impacting and shaping the future of cities and societies. However, the current AI practice has shown that urban innovation without responsibility generates more problems than it solves. Especially, the absence of a deep understanding of the costs, benefits, risks and impacts of deploying government AI systems creates negative e ....Responsible Urban Innovation with Local Government Artificial Intelligence. Artificial intelligence (AI) is not only becoming an integral part of urban services, but also impacting and shaping the future of cities and societies. However, the current AI practice has shown that urban innovation without responsibility generates more problems than it solves. Especially, the absence of a deep understanding of the costs, benefits, risks and impacts of deploying government AI systems creates negative externalities and serious concerns in the society. This project will generate new knowledge on the most appropriate approaches for local governments to engage with AI to achieve responsible urban innovation. The project outcomes will include responsible AI adoption and implementation pathways for Australian local governments.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100022
Funder
Australian Research Council
Funding Amount
$4,883,406.00
Summary
ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge researc ....ARC Training Centre for Information Resilience. The proposed centre aims at building workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed and consumed. Building on strong foundations of responsible data science, the centre will bring together end-users, technology providers, and cutting-edge research, to lift the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets. Read moreRead less
Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the us ....Transforming Primary Healthcare Service Delivery: A Digital-Human Approach. This project aims to address the urgent need for a transformational shift in thinking and actions in primary healthcare service delivery. Primary care clinics, the front door of Australia's healthcare, are under considerable strain. By using a four-phase mixed methodology design across four Australian states, this project expects to generate a national evidence-based framework which takes a dual approach combining the use of digital technology with humanness. Expected outcomes include the development of an Australian-first evidence-based digital resource kit, including two new tools, and a new co-designed roadmap to better facilitate this important change journey to enhance patient experience, employee wellbeing and clinic performance.
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AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in d ....AI Assisted Probabilistic Structural Health Monitoring with Uncertain Data. This project aims to develop an advanced Artificial Intelligence (AI) assisted probabilistic structural health monitoring approach for civil engineering structures. The developed approach applies novel deep learning techniques with a large amount of data measured from uncertain and complex environment, for reliable structural condition monitoring and performance prediction. This project expects to make a step change in data mining and interpretation. Expected outcomes of the project include novel AI assisted approaches to conduct probabilistic structural condition monitoring with sensitive features and future structural performance prediction. This will provide significant benefits to infrastructure asset owners to reduce maintenance costs.Read moreRead less
Maximising Bioenergy Recovery from Sewage Sludge. Sewage treatment is producing large amounts of sewage sludge, which represents a substantial, but largely untapped, energy source. This project aims to develop and demonstrate an innovative, economically attractive and environmentally friendly technology, and the underpinning science, to maximize bioenergy recovery from sewage sludge. The technology is based on the treatment of sludge using free ammonia, a by-product of sewage treatment. This pro ....Maximising Bioenergy Recovery from Sewage Sludge. Sewage treatment is producing large amounts of sewage sludge, which represents a substantial, but largely untapped, energy source. This project aims to develop and demonstrate an innovative, economically attractive and environmentally friendly technology, and the underpinning science, to maximize bioenergy recovery from sewage sludge. The technology is based on the treatment of sludge using free ammonia, a by-product of sewage treatment. This project is expected to benefit Australia by substantially reducing the reliance on fossil fuels and accelerating a shift to affordable renewable energy. The outcomes of the project would provide significant energy, economic, environmental and social benefits for Australians. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100950
Funder
Australian Research Council
Funding Amount
$458,798.00
Summary
Automated People Management: When algorithms manage employees. This project aims to explain the impact of technologies that automate people management. Through four integrated studies, this project expects to generate new knowledge on a currently invisible set of managerial and industrial practices that are profoundly reshaping work and employment relations. Expected outcomes include the first typology of automated people management technologies that will be used to reveal where and how automate ....Automated People Management: When algorithms manage employees. This project aims to explain the impact of technologies that automate people management. Through four integrated studies, this project expects to generate new knowledge on a currently invisible set of managerial and industrial practices that are profoundly reshaping work and employment relations. Expected outcomes include the first typology of automated people management technologies that will be used to reveal where and how automated people management is occurring in Australia and its effects on managers and workers. This much needed research should provide significant practical benefit to organisations and inform emerging policy and frameworks for the responsible adoption of AI and digital technologies in Australian workplaces. Read moreRead less