Research / Reports
- Research
Homelessness in Victoria (Canada) is often invisible and too many government responses focus on keeping people out of sight and out of mind, rather than moving people into housing that meets human-rights standards.
- Research
AHURI: This research examines the organisational and resource implications of transitioning from ‘output-based’ to ‘outcomes-based’ funding arrangements for providing social housing in Australia. It explores relevant housing policy contexts, reviewing opportunities and key policy barriers for this reform goal.
- Research
Emergency shelters offer temporary sleeping accommodation to people deprived of housing and connect them to services. Service restriction is the practice of limiting or denying someone access to emergency shelters. This parallel convergent mixed methods study describes the characteristics, healthcare utilization, and morbidity of people experiencing service restrictions in Hamilton, Ontario, and explores the relationship between health and service restriction. Participants’ high healthcare need and utilization was shaped by criminalization, stigma, societal abandonment, and abstinence-based substance use policies.
- Research
In 2023, satisfaction was high among social housing tenants (almost 3 in 4 tenants were satisfied), but there were differences…
- Research
The research proposes sharing of best-practice examples of tenant participation and program practice guidelines between housing organisations and across sectors through a new Australian Housing Clearinghouse model.
- Research
This new report analyses the changes in inequality over time, with a special focus on wealth inequality by gender and age and on those groups of people most likely to feel the impacts of income inequality.
- Research
This rapid review synthesizes evidence about the experiences of users and providers of community-based accommodation services for people living with serious mental illness internationally to understand priorities for policy and practice.Â
- Research
This study addresses this gap by developing and applying advanced machine learning algorithms to unlock unique insights into South Australian housing price behavior.
