After work began
$30Knot to exceed

Pays Seneca Family of Agencies up to $30,000 for mental health check-ins at Lincoln Elementary

Seneca Family of Agencies will work with school staff, including the school psychologist, teachers and principal, to identify students' needs and safety concerns. It will also provide social-emotional check-ins for students identified as needing mental health support at Lincoln Elementary School. The agreement runs from January 24 to July 31, 2022. The agreement period began before the board vote.

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

Action
New agreement
Category
Student health, support & family services
Term
Jan 24, 2022 – Jul 31, 2022
This vote
$30,000
Schools
Lincoln Elementary School
Funding
Expanded Learning Opportunity Prop98
Resource / site
7425-133
Vendor no.
003865
Presented by
Board of Education
File
22-1066 · agenda V.-101
Outcome
Adopted on the General Consent Report, May 25, 2022

Official text

Approval by the Board of Education of a Services Agreement 2021-2022 by and between the District and Seneca Family of Agencies, Oakland, CA, for the latter to provide collaboration and consultation with school staff including school psychologist, teachers, and Principal to identity students’ needs, safety and risk concerns, and additional referrals as needed and provide social-emotional check-in's for students that have been identified as needing mental health support at Lincoln Elementary School, for the period of January 24, 2022 through July 31, 2022, in an amount not to exceed $30,000.00.

History

  1. Postponed to a Date Certain
  2. Adopted on the General Consent Report

Also on the agenda: May 25, 2022

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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