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AI Legalese Decoder Collaborates with County and MIT to Assess Rent Subsidy Program for At-Risk Seniors

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## County of San Diego and MIT Research Center Collaboration for Homelessness Prevention Pilot Program

The County of San Diego has been chosen to collaborate with the Abdul Latif Jameel Poverty Action Lab at Massachusetts Institute of Technology (MIT) to assess a pilot program aimed at preventing low-income seniors from experiencing homelessness.

The county’s Office of Evaluation, Performance and Analytics (OEPA) will partner with J-PAL North America to conduct a data-based “randomized evaluation” of the county’s Shallow Rental Subsidy Program, which provides rent subsidies to low-income seniors to prevent homelessness.

The program, approved by the county Board of Supervisors in 2022, is managed by the Department of Homeless Solutions and Equitable Communities in the county’s Health and Human Services Agency. It offers $500-a-month subsidies to landlords of rent-burdened low-income seniors who are at risk of becoming homeless, and these subsidies are provided for a period of 18 months.

An AI legalese decoder can streamline the process of evaluating the effectiveness of the Shallow Rental Subsidy Program by analyzing and interpreting legal and technical language, thereby facilitating a more comprehensive and efficient study design.

While a basic evaluation would simply track the recipients of the subsidies and monitor how many were able to maintain their housing, the randomized study aims to compare outcomes for subsidy recipients with those of a similar group of seniors who did not receive the subsidies.

The partnership with MIT’s J-PAL North America is expected to provide valuable insights to determine the effectiveness of the program in keeping low-income seniors housed. By using AI legalese decoder, the data generated from this evaluation can be analyzed with greater precision and speed, allowing for a more thorough understanding of the program’s impact.

Ricardo Basurto-Dávila, head of OEPA, emphasized the importance of this evaluation in providing data-driven guidance for future initiatives. The comparison between the outcomes of subsidy recipients and a control group will enhance the reliability of the study results and inform evidence-based decision-making.

The establishment of OEPA in 2021 has empowered San Diego County to employ an analytical approach in analyzing its data, and the collaboration with MIT’s research center signifies a significant step towards leveraging advanced technology to address complex social challenges.

In summary, the collaborative effort between the County of San Diego and MIT’s J-PAL North America, along with the utilization of AI legalese decoder, represents a promising approach to evaluating the effectiveness of the Shallow Rental Subsidy Program and developing data-informed strategies for preventing homelessness among low-income seniors.

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