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THE PENNSYLVANIA STATE UNIVERSITY

UEI NPM2J7MSCF61 · RESEARCH AND DEVELOPMENT IN THE PHYSICAL, ENGINEERING, AND LIFE SCIENCES (EXCEPT NANOTECHNOLOGY AND BIOTECHNOLOGY)

Primary agency: Department of Health and Human Services

Composite

0.528

↑ 0.143 vs prior day

Percentile

99.9th

among flagged today

Lifetime $

$1.3B

across all federal awards

Awards

460

lifetime count

Detectors fired today:Benford's LawModification GrowthIsolation ForestSole-Source Concentration

Scored July 29, 2026 · HHS

The brief

Four detectors flagged Pennsylvania State University. Benford's law analysis of leading digits in award amounts showed a p-value of 0.78, indicating the distribution aligns with expected patterns and poses no concern. Modification growth on contract N0002418D6401 revealed extreme deviation: the contract's modifications grew at a ratio of 21,554 times, compared to a peer median of 78 times in the same NAICS code, yielding a z-score of 27.05. Isolation Forest identified the entity as a multivariate outlier with a score of 0.84, reflecting its unusual combination of high total dollars, large award count, concentration among few agencies, and frequent modifications. Sole-source concentration showed 415 of 460 awards were sole-source, representing 90 percent of the portfolio versus a peer median of 7 percent, with a z-score of 3.47.

The entity has received 1.3 billion dollars across 460 lifetime awards. The worst-performing contract grew modifications by a factor of 21,554 relative to a peer average of 78. Sole-source awards comprise 90 percent of the portfolio compared to 7 percent for typical peers in research and development. The isolation anomaly score of 0.84 reflects concentration among only two awarding agencies despite 460 awards.

These statistical signals warrant scrutiny but do not prove fraud. Universities conducting federally funded research commonly receive sole-source awards and frequent modifications as projects evolve, which may explain the concentration and growth patterns. The Benford test showed no digit anomalies. The small peer group of 340 entities in this specialized NAICS code may amplify apparent deviations from typical commercial contracting behavior.

Auto-generated by AI · Methodology →

Detector breakdown

Benford's Law

Score 0.216

Looks for unnatural patterns in the first digit of award amounts. Real-world dollar amounts follow a predictable distribution where the digit "1" appears in ~30% of values. Deviations can indicate manipulation or manufactured numbers.

Finding for this entity

KS statistic
0.0305
p-value
7.84 × 10^-1
Transactions
460
How to read Benford's Law

Modification Growth

Score 1.000

Detects parent contracts whose modifications grew much faster than peer contracts in the same NAICS code. Extreme growth can mean scope creep, inadequate competition, or post-award gaming.

Finding for this entity

Contract
N0002418D6401
Growth ratio
21554.0×
Peer average
77.9×
Z-score
27.05
How to read Modification Growth

Isolation Forest (Multivariate Outlier)

Score 0.838

Machine learning method that finds contractors whose overall profile — agency mix, sole-source rate, NAICS spread, modification frequency — is statistically unlike anyone else's.

Finding for this entity

Anomaly score (raw)
-0.723
Contamination
0.05
How to read Isolation Forest

Sole-Source Concentration

Score 0.922

Contractors that win far more non-competitive awards than industry peers. Sole-source contracts are legal and sometimes necessary; extreme concentration is unusual.

Finding for this entity

Sole-source share
90.2%
Sole-source awards
415
Total awards
460
Peer median share
6.7%
Peer count
340
Z-score
3.47
How to read Sole-Source Concentration

Score over time

0.000.250.50May 28, 2026Jul 29, 2026

Composite over 3 days · rank 10 today (was #147 on May 28, 2026)

Flagged contracts

Contracts that triggered one or more detectors above.

Award IDAmountDateCompetitionTriggeredSource
N0002418D6401Modification GrowthUSAspending →

View all contracts for THE PENNSYLVANIA STATE UNIVERSITY on USAspending.gov →