ED24HDQ0G0441
Project Grant
Overview
Grant Description
Purpose: The purpose of this grant is to enhance regional talent systems by expanding Tulsa's Labor Market Observatory (LMO) with advanced data-linking infrastructure to identify and address gaps where talent may be lost.
This grant aims to build Workforce Intermediary (WI) capabilities to pilot targeted workforce interventions based on LMO insights.
Additionally, this grant's plans include accelerating industry skills through TEAS workforce programs and launching scalable workforce and pipeline development initiatives to engage, train, certify, and educate Tulsans across the entire workforce pipeline.
Activities to be performed: Create a federated data architecture to support partner data sharing.
Draft LMO reports and disseminate quarterly, at a minimum.
Hire WI leadership.
Form an initial coalition of industry, education, workforce, and non-profit stakeholders.
Create a public relations and media strategy which will be updated annually.
Launch the Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the (Artificial Intelligence) AI minor at University of Tulsa (TU).
Expected outcomes: Enhance collaboration by increasing the number of partners exchanging data across programs and boosting the quantity of reports generated and disseminated.
Track the number of partners involved in data sharing, the total reports produced, and the attendance figures for programs.
Monitor the number of certificates, minors, and graduates awarded.
Finally, evaluate the percentage of placements achieved to gauge overall success.
Intended beneficiaries: Tulsans across the entire workforce pipeline will benefit from the Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the AI minor at TU.
Stakeholders' talent systems will benefit from advanced data-linking infrastructure based on LMO insights.
Subrecipient activities: Hire and stand-up staff for Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the AI minor at TU.
Perform ongoing program refinements, as informed by WI.
This grant aims to build Workforce Intermediary (WI) capabilities to pilot targeted workforce interventions based on LMO insights.
Additionally, this grant's plans include accelerating industry skills through TEAS workforce programs and launching scalable workforce and pipeline development initiatives to engage, train, certify, and educate Tulsans across the entire workforce pipeline.
Activities to be performed: Create a federated data architecture to support partner data sharing.
Draft LMO reports and disseminate quarterly, at a minimum.
Hire WI leadership.
Form an initial coalition of industry, education, workforce, and non-profit stakeholders.
Create a public relations and media strategy which will be updated annually.
Launch the Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the (Artificial Intelligence) AI minor at University of Tulsa (TU).
Expected outcomes: Enhance collaboration by increasing the number of partners exchanging data across programs and boosting the quantity of reports generated and disseminated.
Track the number of partners involved in data sharing, the total reports produced, and the attendance figures for programs.
Monitor the number of certificates, minors, and graduates awarded.
Finally, evaluate the percentage of placements achieved to gauge overall success.
Intended beneficiaries: Tulsans across the entire workforce pipeline will benefit from the Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the AI minor at TU.
Stakeholders' talent systems will benefit from advanced data-linking infrastructure based on LMO insights.
Subrecipient activities: Hire and stand-up staff for Autonomous Systems Talent Training Program, Career Advancement Program, the Tulsa Community Colleague Certificate Program, and the AI minor at TU.
Perform ongoing program refinements, as informed by WI.
Awardee
Funding Goals
NON-CONSTRUCTION - FY23 REGIONAL TECHNOLOGY AND INNOVATION HUB PROGRAM PHASE 2
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Tulsa,
Oklahoma
74136-5749
United States
Geographic Scope
Single Zip Code
Tulsa Community Foundation was awarded
Enhancing Tulsa's Workforce Pipeline with Advanced Data Infrastructure
Project Grant ED24HDQ0G0441
worth $10,360,292
from Economic Development Administration in October 2024 with work to be completed primarily in Tulsa Oklahoma United States.
The grant
has a duration of 5 years and
was awarded through assistance program 11.039 Regional Technology and Innovation Hubs.
$676,375 (6.0%) of this Project Grant was funded by non-federal sources.
The Project Grant was awarded through grant opportunity FY 2023 Regional Technology and Innovation Hub Program Phase 2 Notice of Funding Opportunity.
Status
(Ongoing)
Last Modified 8/29/25
Period of Performance
10/1/24
Start Date
9/30/29
End Date
Funding Split
$10.4M
Federal Obligation
$676.4K
Non-Federal Obligation
$11.0M
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
ED24HDQ0G0441
SAI Number
None
Award ID URI
None
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
1331K5 DEPT OF COMMERCE EDA
Funding Office
1331K5 DEPT OF COMMERCE EDA
Awardee UEI
E6NBMP5J8LR3
Awardee CAGE
7NKM9
Performance District
OK-01
Senators
James Lankford
Markwayne Mullin
Markwayne Mullin
Modified: 8/29/25