After work began
$20Knot to exceed

Ratifies up to $20,000 for a contractor to evaluate a federal human trafficking prevention education grant

An individual contractor from San Francisco will spend 160 hours designing and running the program evaluation of the federal Human Trafficking Youth Prevention Education (HTYPE) Grant, including pre/post tests for students and staff and review of training and outcome data. The term is September 1, 2021 through June 30, 2022, with a limit of $20,000, and began before this vote.

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
Sep 1, 2021 – Jun 30, 2022
This vote
$20,000
Funding
Human Trafficking Prevention
Resource / site
5846-922
Vendor no.
001318
Presented by
Chief Academic Officer
File
21-2641 · agenda V.-27
Outcome
Adopted on the General Consent Report, Nov 17, 2021

Official text

Ratification by the Board of Education of a Services Agreement 2021-2022 by and between the District and Moira De Nike, San Francisco, CA, for the latter to provide 160 hours to design and administer the programmatic evaluation of the Federal Human Trafficking Youth Prevention Education (HTYPE) Grant, including designing pre/post tests for students, educators and other school staff, and assessing training and education service and outcome data, effectiveness of collaboration and protocol design and implementation, via Community Schools and Student Services Department, for the period of September 1, 2021 through June 30, 2022, in an amount not to exceed $20,000.00.

History

  1. 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.

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