Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560738
Funder
Australian Research Council
Funding Amount
$475,000.00
Summary
DAAO The Dictionary of Australian Artists Online. This project seeks funding for the development of a blueprint for an authoritative Dictionary of Australian Artists Online (DAAO). Based on a conceptual framework originated by Joan Kerr in her Dictionary of Australian Artists, the DAAO integrates existing online research with information updated continuously by editorial amendment from new entries generated in scholarly research. Drawing upon the online publishing services, databases and existin ....DAAO The Dictionary of Australian Artists Online. This project seeks funding for the development of a blueprint for an authoritative Dictionary of Australian Artists Online (DAAO). Based on a conceptual framework originated by Joan Kerr in her Dictionary of Australian Artists, the DAAO integrates existing online research with information updated continuously by editorial amendment from new entries generated in scholarly research. Drawing upon the online publishing services, databases and existing archives of the National Library of Australia and the National Gallery of Australia the DAAO provides both a unique opportunity for scholarly contribution and a definitive source of open access information on Australian artists.Read moreRead less
Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less