A computer model predicts who will become homeless in L.A. Then these workers step in

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A computer model predicts who will become homeless in L.A. Then these workers step in
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L.A. county has found scores of people through a predictive tool developed by UCLA researchers, which pulls data from eight L.A. County agencies to help outreach workers focus their assistance on people believed to be at gravest risk of losing their homes.

developed by UCLA researchers, which pulls data from eight L.A. County agencies to help outreach workers focus their attention and assistance on people believed to be at gravest risk of losing their homes.with the number of people who become homeless annually, even as it steps up efforts to get people into housing.

It pulls data from eight county agencies to pinpoint whom to assist, looking at a broad range of data in county systems: Who has landed in the emergency room. Who has been booked in jail. Who has suffered a psychiatric crisis that led to hospitalization. Who has gotten cash aid or food benefits — and who has listed a county office as their “home address” for such programs, an indicator that often means they were homeless at the time.

which focuses on homeless and vulnerable patients. People in the program can get financial assistance and referrals to other services to help their overall health and housing retention. Single adults receive up to either $4,000 or $6,000 in assistance and families get an allocation depending on their size; the program is analyzing whether higher amounts make a difference in results.

Padilla had started picking up work as a prep cook and dishwasher, but he hadn’t regained his driver’s license, which could mean hours on the bus to get to jobs as far as Irvine. Padilla reflected on the help he had gotten from the county and other programs. “If I didn’t have any of these resources,” he said, “I’d probably be homeless,”

But based on past patterns and analysis, it is estimated that the first 54 people who participated in the program would have had a 33% risk of becoming homeless if the program did not exist and “the world were exactly the same” as when the analysis was done, Rountree said.

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