Patterns of exits from housing in a homelessness system of care: the case of Calgary, Alberta

Jadidzadeh, Ali; Falvo, Nick

doi:10.1080/02673037.2018.1432755

Cited by 5 publications

(2 citation statements)

References 24 publications

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“…Our findings highlight limitations in the current design of homelessness algorithms. Historically, computational homelessness research often used GLMs to identify common characteristics (or types) of unhoused individuals [27,47,50,53,97,107,141]. Our findings showed that this popular methodology has been extended to designing street-level homelessness algorithms due to their explainability.…”

Section: Inferential Statisticsmentioning

confidence: 84%

A Human-Centered Review of Algorithms in Homelessness Research

Moon,

Guha

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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Homelessness is a humanitarian challenge affecting an estimated 1.6 billion people worldwide. In the face of rising homeless populations in developed nations and a strain on social services, government agencies are increasingly adopting data-driven models to determine one's risk of experiencing homelessness and assigning scarce resources to those in need. We conducted a systematic literature review of 57 papers to understand the evolution of these decision-making algorithms. We investigated trends in computational methods, predictor variables, and target outcomes used to develop the models using a human-centered lens and found that only 9 papers (15.7%) investigated model fairness and bias. We uncovered tensions between explainability and ecological validity wherein predictive risk models (53.4%) unduly focused on reductive explainability while resource allocation models (25.9%) were dependent on unrealistic assumptions and simulated data that are not useful in practice. Further, we discuss research challenges and opportunities for developing human-centered algorithms in this area.CCS Concepts: • Human-centered computing → Human-computer interaction (HCI); Empirical studies in HCI ; • Applied computing → Computing in government.

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Section: Inferential Statisticsmentioning

confidence: 84%

A Human-Centered Review of Algorithms in Homelessness Research

Moon,

Guha

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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“…Other personal factors, such as childhood or adulthood abuse, also contribute to women's risk of homelessness (Kahan et al., 2020; Pleace, 2016; Sundin & Baguley, 2015; Young et al., 2017). Homelessness is a complex issue generally involving an interplay between structural and personal factors where policy and service provision, housing affordability and economic situations mean that those whose personal circumstances make them vulnerable to homelessness are most at risk (Falvo, 2017; Jadidzadeh & Falvo, 2019; Metraux & Culhane, 2016).…”

Section: Introductionmentioning

confidence: 99%

More than a house: Women’s recovery from homelessness in Australia

Phipps

Dalton

Maxwell

et al. 2021

Health Social Care Comm

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Recovery from homelessness for women is often a long, complex and highly individualised journey. This study investigated women's experiences of exiting homelessness and examined the factors that influenced recovery. The qualitative interpretive study involved auto‐driven photo elicitation and in‐depth interviews with 11 women who had previously been homeless. It took place in Australia between August 2018 and August 2019. Women took photographs that represented their experiences of exiting homelessness to guide discussion during interviews. Data were analysed using thematic analysis. Findings indicate that recovery from homelessness involves more than becoming housed. Recovery from homelessness is the overarching theme being presented, described using five subthemes: Finding the right house, Making a house a home, Connection, Building confidence and Helping others. Housing was only the starting point for recovery from homelessness for women. The women drew on their own self determination to create factors necessary for recovery from the experience of homelessness. We conclude that ongoing support is necessary to empower and assist women recovering from the traumatic experiences of homelessness. Trauma‐informed care offers service providers a framework for supporting women who have lived through homelessness. Services can draw on this framework to provide support beyond the point of securing a house and assist women to create a home environment, build confidence in themselves and form connections to their community as they transition out of homelessness.

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Examining tenancy duration and exit patterns in a single-site, mixed-tenure Permanent Supportive Housing setting

Taylor

Johnson

2021

Housing and Society

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Patterns of exits from housing in a homelessness system of care: the case of Calgary, Alberta

Cited by 5 publications

References 24 publications

A Human-Centered Review of Algorithms in Homelessness Research

A Human-Centered Review of Algorithms in Homelessness Research

More than a house: Women’s recovery from homelessness in Australia

Examining tenancy duration and exit patterns in a single-site, mixed-tenure Permanent Supportive Housing setting

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