Results 61 to 70 of about 9,424 (256)
ABSTRACT Children experiencing parental imprisonment are known to be among the most overlooked in our community. They often experience multiple and compounding disadvantages, with long‐term consequences, but receive no specialised assistance. Knowledge about these children and their families is lacking in Australia and is required to inform policy ...
Catherine Flynn +6 more
wiley +1 more source
Crime hotspot prediction based on dynamic spatial analysis
Crime is not a completely random event but rather shows a pattern in space and time. Capturing the dynamic nature of crime patterns is a challenging task. Crime prediction models that rely only on neighborhood influence and demographic features might not
Gaurav Hajela +2 more
doaj +1 more source
ABSTRACT In Australia, governments fund Community Legal Centres (CLCs) as part of the legal assistance sector (LAS) to meet the ‘legal needs’ of people experiencing disadvantage who cannot afford private legal services. Persistent unmet demand for CLCs is well‐documented. As artificial intelligence (AI) is increasingly used in private legal practice to
Catherine Hastings +2 more
wiley +1 more source
The Role of Artificial Intelligence in Predicting Criminal Offender Profiles [PDF]
The rapid expansion of artificial intelligence (AI) has significantly transformed various domains, including criminology and criminal justice. Given the growing complexity of criminal behaviors and the limitations of traditional investigative methods ...
Saman Abdollahi
doaj +1 more source
Has Inequity Faced by Young Australians With Disability Changed Since the Turn of the Century?
ABSTRACT Despite the introduction of various policies aimed at promoting equality for people with disability since Australia ratified the Convention on the Rights of People with Disabilities (CRPD) in 2008, there has been little evaluation regarding the extent of change in inequity since then.
Asha Parkinson +5 more
wiley +1 more source
Graph Representation Learning for Street-Level Crime Prediction
In contemporary research, the street network emerges as a prominent and recurring theme in crime prediction studies. Meanwhile, graph representation learning shows considerable success, which motivates us to apply the methodology to crime prediction ...
Haishuo Gu, Jinguang Sui, Peng Chen
doaj +1 more source
Cohesion Without Consensus: Attitudinal Profiles of Social Cohesion in Australia
ABSTRACT Headline indicators of social cohesion in Australia have remained stable in recent years despite rising political polarisation and declining institutional trust worldwide. Yet recent protests and incidents of ethnically and politically motivated violence suggest that cohesion may be under strain. If cohesion is understood not as the pursuit of
John van Kooy
wiley +1 more source
Crime Spatiotemporal Prediction Through Urban Region Representation by Using Building Footprints
Current crime spatiotemporal prediction models are limited by the insufficient ability of POI data to represent the continuity and mixed-use nature of urban spatial functions. To address this, our study applies an urban region representation method based
Tao Wang, Peng Chen, Miaoxuan Shan
doaj +1 more source
Moving beyond neurophobia to cultivate the neuroquisitive learner
Abstract “Neurophobia,” a pervasive fear of the neurological sciences, poses a significant barrier in medical education, affecting learners and physicians worldwide. Its consequences are far‐reaching, contributing to a limited neurology workforce and diminished confidence among non‐specialists in managing neurological conditions.
Joanna R. Appel +1 more
wiley +1 more source
A multi‐dimensional crime spatial pattern analysis and prediction model based on classification
This article presents a multi‐dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between ...
Gaurav Hajela +2 more
doaj +1 more source

