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Housing Homelessness Studies

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Housing Homelessness Studies

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Research Frontiers in Algorithmic Housing Allocation and Fairness

Examines how machine learning algorithms and automated systems distribute housing resources and the equity implications for vulnerable populations.

Algorithmic Bias in Homelessness Risk Prediction Systems
Opacity of Housing Allocation Algorithms and Tenant Recourse
Temporal Fairness in Perpetual Housing Queuing Systems
Protected Attributes and Proxy Discrimination in Placement Algorithms
Data Deserts: Housing Allocation for Undocumented Populations
Preference Gaming and Strategic Behaviour in Algorithmic Matching
Intersectional Fairness at the Housing-Disability-Algorithm Interface
Real-time Feedback Loops in Automated Homelessness Interventions
Algorithmic Redlining: Digital Exclusion from Affordable Housing
Explainability Demands for Automated Eviction and Eligibility Systems

All Housing & Homelessness Studies PhD categories