Adds $8,315 to YMCA of the East Bay's after-school program at Piedmont Avenue Elementary

This amends a memorandum of understanding (MOU) with YMCA of the East Bay for the after-school program at Piedmont Avenue Elementary School. It raises hourly pay for after-school staff and adds two part-time staff members to support homework and academic growth. It adds $8,315, raising the MOU's not-to-exceed amount from $100,567 to $108,882, for August 1, 2019 through July 31, 2020.

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

Vendor / partner: YMCA of the East Bay · Oakland, CA
Action: Amendment
Category: After-school & summer programs
Term: Aug 1, 2019 – Jul 31, 2020
This vote: $8,315
Previous total: $100,567
New total: $108,882
Schools: Piedmont Avenue Elementary School
Funding: After School Education and Safety (ASES) Grant
Resource / site: 6010-146
Vendor no.: 004722
Presented by: Chief Academic Officer
File: 19-2313 · agenda P.-72
Outcome: Adopted on the General Consent Report, Dec 11, 2019

Official text

Approval by the Board of Amendment No. 1, Memorandum of Understanding between the District and YMCA of the East Bay, Oakland, CA, for the latter to increase the hourly rates of their after school staff as well as add two more part-time staff members to support homework and academic growth for students in the After School Program at Piedmont Avenue Elementary for the period of August 1, 2019 through July 31, 2020, in the additional amount of $8,315.00, increasing the MOU not to exceed amount from $100,567.00 to $108,882.00. All other terms and conditions of the MOU remain in full force and effect.

History

Dec 11, 2019 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.