After work began
$40Knot to exceed

Ratifies up to $40,215 for anti-tobacco and drug education at five middle and high schools

An independent contractor will provide 1,150 hours of classroom and assembly presentations on tobacco and marijuana, train student peer educators, run awareness sessions for students who break drug-free rules, and offer coaching at 5 middle and high school sites. The contract period began before the board 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 23, 2019 – May 29, 2020
This vote
$40,215
Funding
Tupe - Prop 56
Resource / site
6695-922
Vendor no.
006298
Presented by
Chief Academic Officer
File
19-2447 · agenda P.-104
Outcome
Adopted on the General Consent Report, Dec 11, 2019

Official text

Ratification by the Board of Education of a Professional Services Contract between the District and Jamil Brown, Oakland, CA, for the latter to provide 1150 hours of classroom and assembly anti-tobacco/marijuana presentations, train and lead peer educators to provide classroom and assembly anti-tobacco/marijuana presentations, and Alcohol, Tobacco & Other Drugs (ATOD) awareness sessions for students violating OUSD tobacco/drug free policies, cessation and strengths-based life skills and behavior coaching at 5 middle and high school sites in coordination with the site's COST and administrative team and school site staff, via Community Schools and Student Services Department, for the period of September 23, 2019 through May 29, 2020 in an amount not to exceed $40,215.00.

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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