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Tomorrow at 3pm ET: Join the HKS Government Performance Lab and Community Solutions, Inc. for a virtual conversation that will explore promising practices on launching coordinated prevention and discuss insights on testing centralized access models. To shed light on one model, the conversation will highlight lessons learned from the City of Detroit, which launched a centralized hotline in May 2023 to effectively and equitably connect vulnerably housed residents to best-fit services and supports that reduce their likelihood of becoming homeless. The hotline, which receives roughly 6,700 calls per month, connects residents to services such as legal assistance for eviction prevention, income supports such as employment assistance, case management for housing relocation and navigation, emergency shelter, and more. Register here: https://lnkd.in/eZJaS65k

View organization page for HKS Government Performance Lab, graphic

3,131 followers

Upcoming Peer Learning Session: On Tuesday, 6/25 at 3pm ET, join the HKS Government Performance Lab and Community Solutions, Inc. for a virtual conversation that will explore promising practices in launching coordinated prevention and discuss insights on testing centralized access models. To shed light on one model, the conversation will highlight lessons learned from the City of Detroit, which launched a centralized hotline in May 2023 to effectively and equitably connect vulnerably housed residents to best-fit services and supports that reduce their likelihood of becoming homeless. The hotline, which receives roughly 6,700 calls per month, connects residents to services such as legal assistance for eviction prevention, income supports such as employment assistance, case management for housing relocation and navigation, emergency shelter, and more.  Register here: https://lnkd.in/eZJaS65k

Coordinated Upstream Homelessness Prevention: Learnings from the City of Detroit's Centralized Access Model

Coordinated Upstream Homelessness Prevention: Learnings from the City of Detroit's Centralized Access Model

govlab.hks.harvard.edu

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