PrimeRFP SCOUT · Federal Contract Recompete Brief

49100424C0007NSF convergence accelerator 2022 COHORT PHASES — University of Maryland, College Park

University of Maryland, College Park holds $136.9M across 211 federal awards, concentrated at Department of Defense (DOD). This PIID sits alongside 5 related awards in the incumbent pipeline. Competition previously drew 17 offers. Set-aside status: NONE. Recompete timing centers on the Jan 18, 2027 PoP end — agencies typically plan 12–18 months ahead.

Div Of Acq And Cooperative Support
Awarding office
University of Maryland, College Park
Recipient
Jan 18, 2027
PoP end
$5M
Obligated
$5M
Potential
541720
NAICS
AJ11
PSC
NONE
Set-aside
17 bidders on last award

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Contract facts

NONE
Contract number49100424C0007
Also listed as491004-24-C-0007
AgencyDiv Of Acq And Cooperative Support
Awarding officeDiv Of Acq And Cooperative Support
Awarding agencyNational Science Foundation (NSF)
Funding agencyNational Science Foundation (NSF)
IncumbentUniversity of Maryland, College Park
CAGE0UB92
UEINPU8ULVAAS23
NAICS541720

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PSCAJ11
Place of performanceCOLLEGE PARK MD
Pricing typeFirm Fixed Price
Extent competedFull And Open Competition
Related solicitationNSFBAA-CA22-02
PoP startJan 24, 2024
PoP end (current)Jan 18, 2027
Obligated$5M
Current value$5M
Potential value$5M

NSF CONVERGENCE ACCELERATOR 2022 COHORT PHASES 1 AND 2 FOR TRACKS H, I, AND J BROAD AGENCY ANNOUNCEMENT (BAA) is a federal NONE award for Div Of Acq And Cooperative Support held by University of Maryland, College Park. Estimated value $5M ($5M obligated). Current period of performance ends Jan 18, 2027. Last award drew 17 bidders. Place of performance: COLLEGE PARK MD. Related solicitation NSFBAA-CA22-02.

NSF CONVERGENCE ACCELERATOR 2022 COHORT PHASES 1 AND 2 FOR TRACKS H, I, AND J BROAD AGENCY ANNOUNCEMENT (BAA)

Recompete timing

Public
Expiring in 150 days

Current PoP ends Jan 18, 2027 (150 days remaining). Agencies typically plan 12–18 months ahead — at 4.9 months out, that window is already open. The buying decision is likely already in motion.

Incumbent footprint

Public record

University of Maryland, College Park$136.9M obligated across 211 awards (firm-wide, all agencies) · lead buyer Department of Defense (DOD).

% of firm-wide obligated ($136.9M) · all agencies · Top 4 shown (95%); remaining ~5% is other agencies.
Department of Defense (DOD)$108.5M · 79%Department of Transportation (DOT)$9.6M · 7%National Aeronautics and Space Administration (NASA)$6.4M · 5%
National Science Foundation (NSF)$5.0M · 4%
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Frequently asked questions

What is contract 49100424C0007?

49100424C0007 (NSF convergence accelerator 2022 COHORT PHASES) is a Div Of Acq And Cooperative Support award with a potential value of $5M, currently held by University of Maryland, College Park. Figures are USASpending-sourced public-record facts plus SCOUT recompete analysis.

What is 491004-24-C-0007?

491004-24-C-0007 is the dashed form of PIID 49100424C0007 (NSF convergence accelerator 2022 COHORT PHASES), held by University of Maryland, College Park. Same award — SCOUT canonicalizes compact, dashed, and parent-child identifiers to one brief.

Which office awarded 49100424C0007?

Div Of Acq And Cooperative Support awarded 49100424C0007 to University of Maryland, College Park (potential $5M).

Who is the incumbent on 49100424C0007?

University of Maryland, College Park is the incumbent with $136.9M across 211 related awards in SCOUT’s public footprint. The current period of performance ends Jan 18, 2027.

When does University of Maryland, College Park’s 49100424C0007 come up for recompete?

SCOUT tracks a period-of-performance end of Jan 18, 2027. Actual solicitation timing can shift with extensions, bridges, or consolidations.

Data: Showing contracts ≥ $100K from federal procurement records (FPDS-NG, SAM.gov, and related repositories), normalized by PrimeRFP SCOUT. Each row keyed by Award ID (PIID); task orders appear as independent rows.

Data as of · refreshed monthlyLatest procurement action
Sources: USASpending, FPDS, SAM.gov · Public-record facts + SCOUT analysis shown above; personalized scoring in SCOUT.
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