cliodhna bairead | University College Dublin (original) (raw)
Papers by cliodhna bairead
Irish Political Studies, Aug 24, 2018
Chapter One provides a background to the DP system in Ireland and explores relevant literature re... more Chapter One provides a background to the DP system in Ireland and explores relevant literature relating to the DP system and relating to transitions. Chapter Two examines the research data by looking at how life in DP has an impact on what is to follow. It also looks at people's responses when the long awaited letter of acceptance is received. Chapter Three looks at the journey that begins when status is achieved and as people try to make the move out of DP. In particular, it explores the challenges that people face as they attempt to make the transition out of DP. Chapter Four focuses on the evidence in the data about education, employment and family reunification. Chapter Five presents evidence-based recommendations about how the process of transition might be improved and strengthened by paying attention to the views and experiences of those who have undertaken this journey.
Challenging homelessness. Changing lives.
Cities
This article presents an analysis of data on use of emergency accommodation (EA) by single homele... more This article presents an analysis of data on use of emergency accommodation (EA) by single homeless people in Dublin, Ireland in 2016, 2017 and 2018. The objective of this exercise is not primarily to examine trends in EA use or in the characteristics of residents, rather it is employed to reflect on, test and critique the use of EA data in research on homelessness heretofore in Ireland and internationally. The article focuses on Dennis Culhane, Randell Kuhn and colleagues’ ground-breaking analysis of data on single adult users of homeless EA in New York and Philadelphia. The typology of three typical patterns of homeless EA usage - transitional, episodic and chronic homelessness - which they produced on the basis of this analysis has been enormously influential in research on this field and has been widely reapplied in research on other cities and sections of the homeless population. In this article we argue that a key weakness in Culhane and Kune’s typology concerns their focus on number and duration ‘homelessness episodes’ and their decision to measure these with reference to 30-day breaks in EA usage. This approach disguises important patterns in EA usage and may lead to the mis-categorisation of some shelter residents. As an alternative, the analysis of EA usage in Dublin presented in this article focuses on transitions into and out of EA and the stability of EA usage in between these transitions. This design is grounded in the theory of housing transitions and also the strong research evidence which indicates that stability of EA usage is a critical consideration in terms of successful exit from homelessness. Applying this design to our dataset on EA usage in Dublin between 2016 and 2018 reveals four clear EA usage patterns – short stay, medium term, long stay inconsistent usage and long stay stable usage. We believe that this four-part typology more accurately represents patterns of EA and will therefore be more applicable to services in the Dublin region.
Cities, 2022
This article presents an analysis of data on use of emergency accommodation (EA) by single homele... more This article presents an analysis of data on use of emergency accommodation (EA) by single homeless people in Dublin, Ireland in 2016, 2017 and 2018. The objective of this exercise is not primarily to examine trends in EA use or in the characteristics of residents, rather it is employed to reflect on, test and critique the use of EA data in research on homelessness heretofore in Ireland and internationally. The article focuses on Dennis Culhane, Randell Kuhn and colleagues’ ground-breaking analysis of data on single adult users of homeless EA in New York and Philadelphia. The typology of three typical patterns of homeless EA usage - transitional, episodic and chronic homelessness - which they produced on the basis of this analysis has been enormously influential in research on this field and has been widely reapplied in research on other cities and sections of the homeless population. In this article we argue that a key weakness in Culhane and Kune’s typology concerns their focus on number and duration ‘homelessness episodes’ and their decision to measure these with reference to 30-day breaks in EA usage. This approach disguises important patterns in EA usage and may lead to the mis-categorisation of some shelter residents. As an alternative, the analysis of EA usage in Dublin presented in this article focuses on transitions into and out of EA and the stability of EA usage in between these transitions. This design is grounded in the theory of housing transitions and also the strong research evidence which indicates that stability of EA usage is a critical consideration in terms of successful exit from homelessness. Applying this design to our dataset on EA usage in Dublin between 2016 and 2018 reveals four clear EA usage patterns – short stay, medium term, long stay inconsistent usage and long stay stable usage. We believe that this four-part typology more accurately represents patterns of EA and will therefore be more applicable to services in the Dublin region.
Irish Political Studies, Aug 24, 2018
Chapter One provides a background to the DP system in Ireland and explores relevant literature re... more Chapter One provides a background to the DP system in Ireland and explores relevant literature relating to the DP system and relating to transitions. Chapter Two examines the research data by looking at how life in DP has an impact on what is to follow. It also looks at people's responses when the long awaited letter of acceptance is received. Chapter Three looks at the journey that begins when status is achieved and as people try to make the move out of DP. In particular, it explores the challenges that people face as they attempt to make the transition out of DP. Chapter Four focuses on the evidence in the data about education, employment and family reunification. Chapter Five presents evidence-based recommendations about how the process of transition might be improved and strengthened by paying attention to the views and experiences of those who have undertaken this journey.
Challenging homelessness. Changing lives.
Cities
This article presents an analysis of data on use of emergency accommodation (EA) by single homele... more This article presents an analysis of data on use of emergency accommodation (EA) by single homeless people in Dublin, Ireland in 2016, 2017 and 2018. The objective of this exercise is not primarily to examine trends in EA use or in the characteristics of residents, rather it is employed to reflect on, test and critique the use of EA data in research on homelessness heretofore in Ireland and internationally. The article focuses on Dennis Culhane, Randell Kuhn and colleagues’ ground-breaking analysis of data on single adult users of homeless EA in New York and Philadelphia. The typology of three typical patterns of homeless EA usage - transitional, episodic and chronic homelessness - which they produced on the basis of this analysis has been enormously influential in research on this field and has been widely reapplied in research on other cities and sections of the homeless population. In this article we argue that a key weakness in Culhane and Kune’s typology concerns their focus on number and duration ‘homelessness episodes’ and their decision to measure these with reference to 30-day breaks in EA usage. This approach disguises important patterns in EA usage and may lead to the mis-categorisation of some shelter residents. As an alternative, the analysis of EA usage in Dublin presented in this article focuses on transitions into and out of EA and the stability of EA usage in between these transitions. This design is grounded in the theory of housing transitions and also the strong research evidence which indicates that stability of EA usage is a critical consideration in terms of successful exit from homelessness. Applying this design to our dataset on EA usage in Dublin between 2016 and 2018 reveals four clear EA usage patterns – short stay, medium term, long stay inconsistent usage and long stay stable usage. We believe that this four-part typology more accurately represents patterns of EA and will therefore be more applicable to services in the Dublin region.
Cities, 2022
This article presents an analysis of data on use of emergency accommodation (EA) by single homele... more This article presents an analysis of data on use of emergency accommodation (EA) by single homeless people in Dublin, Ireland in 2016, 2017 and 2018. The objective of this exercise is not primarily to examine trends in EA use or in the characteristics of residents, rather it is employed to reflect on, test and critique the use of EA data in research on homelessness heretofore in Ireland and internationally. The article focuses on Dennis Culhane, Randell Kuhn and colleagues’ ground-breaking analysis of data on single adult users of homeless EA in New York and Philadelphia. The typology of three typical patterns of homeless EA usage - transitional, episodic and chronic homelessness - which they produced on the basis of this analysis has been enormously influential in research on this field and has been widely reapplied in research on other cities and sections of the homeless population. In this article we argue that a key weakness in Culhane and Kune’s typology concerns their focus on number and duration ‘homelessness episodes’ and their decision to measure these with reference to 30-day breaks in EA usage. This approach disguises important patterns in EA usage and may lead to the mis-categorisation of some shelter residents. As an alternative, the analysis of EA usage in Dublin presented in this article focuses on transitions into and out of EA and the stability of EA usage in between these transitions. This design is grounded in the theory of housing transitions and also the strong research evidence which indicates that stability of EA usage is a critical consideration in terms of successful exit from homelessness. Applying this design to our dataset on EA usage in Dublin between 2016 and 2018 reveals four clear EA usage patterns – short stay, medium term, long stay inconsistent usage and long stay stable usage. We believe that this four-part typology more accurately represents patterns of EA and will therefore be more applicable to services in the Dublin region.