Pays an evaluator up to $17,625 for 141 hours on the federal human trafficking prevention grant

An independent evaluator will review the district's federal Human Trafficking Youth Prevention Education grant. The work includes analyzing student and staff test results, helping with quarterly reports and joining the federal site visit. It runs from October 1, 2023 to June 30, 2024, and the Board is ratifying the agreement.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Vendor / partner: Individual contractor
Action: New agreement
Category: Student health, support & family services
Term: Oct 1, 2023 – Jun 30, 2024
This vote: $17,625
Funding: Human Trafficking Prevention
Resource / site: 5846-922
Vendor no.: 001318
Presented by: Chief Academic Officer
File: 23-2811 · agenda T.-32
Outcome: Adopted on the General Consent Report, Jan 10, 2024

Official text

Ratification by the Board of Education of a Services Agreement 2023-2024 by and between the District and Moira De Nike, San Francisco, CA, for the latter to provide 141 hours to administer the programmatic evaluation of the Federal Human Trafficking Youth Prevention Education (HTYPE) grant, including analyzing pre/post tests to students, educators and other school staff; assisting with data and narrative reporting for the quarterly performance reports; assessing training and education service and outcome data, effectiveness of collaboration and protocol implementation; and participating in the federal in-person site visit, via Community Schools and Student Services Department, for the period of October 1, 2023 through June 30, 2024 in an amount not to exceed $17,625.00.

History

Jan 10, 2024 Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.