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
Industrial Transformation Training Centres - Grant ID: IC180100030
Funder
Australian Research Council
Funding Amount
$3,925,357.00
Summary
ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching ....ARC Training Centre for Transforming Maintenance through Data Science. The ARC Training Centre for Transforming Maintenance through Data Science aims to equip practising engineers and Australian graduates with the next generation of data science methods for the maintenance sector. The Centre plans to introduce timely and cost-efficient maintenance scheduling by developing data-intensive mathematical and computational algorithms for asset management and fault prediction. The Centre’s overarching objectives are to enable development and adoption of new practices to improve productivity and asset reliability for industry and to foster a new maintenance technology service sector for national and international markets.Read moreRead less