Discovery Early Career Researcher Award - Grant ID: DE230100652
Funder
Australian Research Council
Funding Amount
$407,500.00
Summary
Toward data justice in Australian schools. This project will investigate the challenges raised by digital data for Australian schools. The use of digital technologies in schools has led to systematic data collection, which reconfigures schooling processes and interpersonal relationships and presents new risks to staff and students. Although there are laws in place to protect students' rights, there are hidden consequences to using digital technologies. This research project investigates how data ....Toward data justice in Australian schools. This project will investigate the challenges raised by digital data for Australian schools. The use of digital technologies in schools has led to systematic data collection, which reconfigures schooling processes and interpersonal relationships and presents new risks to staff and students. Although there are laws in place to protect students' rights, there are hidden consequences to using digital technologies. This research project investigates how data collection, use and disclosure is experienced and understood in schools. It will identify the role played by intermediaries, such as tech brokers, educational authorities and professional networks. Benefits include policy recommendations, protocols and guidelines for data justice in schools.Read moreRead less
New Generation of High-Performance Radio Frequency Devices . The strong demand for faster internet speed pushes high-speed technology to evolve faster. Designing and developing devices are now facing changes that are far more complex. We aim to tackle them, proposing to develop phase-change materials-based electronic systems. The outcomes will be reconfigurable devices with unprecedentedly increased operational frequency, reduced critical system-level metrics, and elimination of control circuits ....New Generation of High-Performance Radio Frequency Devices . The strong demand for faster internet speed pushes high-speed technology to evolve faster. Designing and developing devices are now facing changes that are far more complex. We aim to tackle them, proposing to develop phase-change materials-based electronic systems. The outcomes will be reconfigurable devices with unprecedentedly increased operational frequency, reduced critical system-level metrics, and elimination of control circuits. The successful results will address the Science and Research Priority of Modern Manufacturing and bring substantial socio-economic benefits to Australia by executing advancements of new technologies for modern wireless communications, leading to new high-tech opportunities, jobs, and economic growth.Read moreRead less
The Impact Of The Environment And Pollution On Cognitive Health (EPOCH): Building The Knowledge Base Through International Collaboration
Funder
National Health and Medical Research Council
Funding Amount
$681,240.00
Summary
Neighbourhood environments can impact on the health of their residents. However, not much is known about their effects on cognitive decline in late life. This project will link environmental data to existing studies on ageing to examine how the neighbourhood built environment (e.g., access to services), natural environment, air pollution and noise may impact on cognitive decline and the risk of dementia in older adults and whether these effects differ in the United Kingdom and Australia.
Developing Automated Data Cleansing And Validation Processes For Fisheries Catch And Effort Data
Funder
Fisheries Research and Development Corporation
Funding Amount
$397,750.00
Summary
During a recent national Fisheries Statistics Working Group meeting, data managers from all Australian states highlighted and discussed the likely high prevalence of inaccurate or fraudulent data supplied by fishers and accrued through data-entry errors. Current data quality control measures in each jurisdiction are largely heterogeneous, undocumented and often rely on manual checks by clerks or analysts that are labour intensive and costly and not routinely executed. Because many of these check ....During a recent national Fisheries Statistics Working Group meeting, data managers from all Australian states highlighted and discussed the likely high prevalence of inaccurate or fraudulent data supplied by fishers and accrued through data-entry errors. Current data quality control measures in each jurisdiction are largely heterogeneous, undocumented and often rely on manual checks by clerks or analysts that are labour intensive and costly and not routinely executed. Because many of these checks occur during manual data entry of paper-based records, these are likely to become obsolete as reliance on electronic reporting increases, with data entered directly by fishers through online portals or mobile applications.
There is a need to develop automated data cleansing and diagnostic procedures that can be applied post-hoc or retrospectively to large fisheries databases to detect and flag errors and outliers and provide subsets of reliable catch and effort data for stock assessments and other analyses. This project will contribute towards addressing these issues, by developing automated processes to routinely assess newly entered fisheries catch and effort data for errors, retrospectively quantify error rates in existing data and assess their likely influence on the outputs of stock assessment analyses. The outcomes will help improve the quality and accuracy of catch and effort data used in routine stock assessments, and in turn lead to more sustainable management of wild capture fisheries resources.
Objectives: 1. Review existing data quality control and cleansing processes applied to fisheries catch and effort databases in all state and commonwealth jurisdictions. 2. Develop a suite of generic algorithmic and statistical approaches to detect and flag different error types (e.g., anomalous, missing and outlying values) in fisheries catch and effort relational databases. 3. Trial the above approaches with several case-study fisheries datasets to assess the performance of different data cleansing approaches, quantify error rates and types and assess the sensitivity of catch and effort statistics to these errors and outliers. 4. On the basis of the above findings, recommend a standard national approach for data cleansing and validation of fisheries catch and effort data. 5. Customise and integrate the generic approaches into NSW fisheries database systems to implement automated data cleansing processes. 6. Extend the results of the project to fishers and industry representatives to encourage greater accuracy in fisheries catch and effort data reporting. Read moreRead less