University of Queensland

Discussion paper

Biodegradability of plastics: discussion paper

Other authors
Belle McKinley, Jennifer Chan, Paul Lant, Bronwyn Laycock, Steven Pratt, Clement Chan
The purpose of this discussion paper is to describe what is meant by biodegradable plastics, and to consider issues arising from the current state of play in terms of knowledge, policy, law and expectations.

Regulation is key to responsible AI, but what might this look like?

How much do people trust in AI-enabled systems, and what are their expectations with respect to regulation and oversight? In order to fully realise the benefits of AI, people need to be confident that AI systems are developed, used, and governed in a responsible and...
Journal article

The prevalence and nature of multi-type child maltreatment in Australia

Other authors
Franziska Meinck, Holly E Erskine, Hannah J Thomas, David M Lawrence, Divna M Haslam, Eva Malacova, Michael P Dunne
The objective of this study was to determine the prevalence in Australia of multi-type child maltreatment, defined as two or more maltreatment types (physical abuse, sexual abuse, emotional abuse, neglect, or exposure to domestic violence) and to examine its nature, family risk factors, and gender...
Journal article

The association between child maltreatment and mental disorders in the Australian Child Maltreatment Study

Other authors
Franziska Meinck, Michael P Dunne, David Finkelhor, Holly E Erskine, David M Lawrence, Hannah J Thomas
The authors examine the associations between experiences of child maltreatment and mental disorders in the Australian population. Child maltreatment is associated with increased risk of mental disorders.
Journal article

The prevalence of child maltreatment in Australia: findings from a national survey

Other authors
Franziska Meinck, Daryl J. Higgins, Holly E. Erskine, Hannah J. Thomas, David M. Lawrence, Divna M. Haslam, Eva Malacova, Michael P. Dunne
This national study estimated the prevalence in Australia of each type of child maltreatment; to identify gender- and age group-related differences in prevalence.