Federal grant · project grant (b)
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
Committed
$10.4 Million
Paid out
$1.9M
18%
Committed, not yet paid
$8.5M
82%
Loading…
Everything here is this single award's whole record — signed, amended, paid — not a fiscal-year slice. The by-year charts elsewhere split an award across the years it was committed; this page keeps it whole.
Committed is what the government has legally promised on this award so far. Contracts can also carry a ceiling — the maximum if every option is exercised. Unspent ceiling is headroom, not money owed.
The cash actually disbursed against this award. The gap from committed is the disbursement pipeline: promised, not yet cashed.
Each transaction is a signing event — an action that created or changed the award, dated the day it was signed — not a payment. Negative amounts are real: money de-committed at closeout or renegotiation.
One bar, the award’s whole arithmetic: paid out, then committed, not yet paid, then unspent ceiling.