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American Society for Mass Spectrometry at a glance

· Public charity

American Society for Mass Spectrometry

The continuing education and dissemination of research and information in the field of mass spectrometry and allied topics.

$300k
Granted FY2024still arriving
4
Grants FY2024still arriving
4
States reached
$35k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Science & Tech$830kHealth$80kEducation$58k
02FY2024 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 4 grants below total $125,000, the rows itemized in this filing. The $300,221 headline is the total grant expense on the return; the other $175,221 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$35,000
Median grant
4
States reached
$6.4M
Total assets
Largest grants
RecipientAmount
UNIVERSITY UTAH-GABE NAGY$35,000
UNIV OF WASHINGTON-NICHOLAS RILEY$35,000
UC REGENTS-ELIZABETH NEUMANN$35,000
GEORGE FOX UNIVERSITY-MICAH DONOR$20,000
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY17–24) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 86% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%Univ of Arizona-Michael Marty: $35k → 15%Univ Minnesota-Andrea Carra: $10k → 11%UC San Diego-Alan Jarmusch: $10k → 11%UNIV CALIFORNIA-JAMES DAVIES: $35k → 11%CEDARS-SINAI MEDICAL-JESSE MEYER: $35k → 14%ST JOHN'S UNIVERSITY-ERICA JACOBS: $20k → 13%TEXAS A&M UNIV-XIN YAN: $35k → 13%BAYLOR COLLEGE MED-NICOLAS YOUNG: $35k → 16%UNIVERSITY OF OK-LUCA FORNELLI: $35k → 13%FURMAN UNIVERSITY-MAC GILLILAND: $20k → 10%Florida St Univ-Martha Chacon: $10k → 19%Univ of WI-Yanlong Zhu: $10k → 10%GEORGE FOX UNIVERSITY-MICAH DONOR: $20k → 11%Univ of Oregon-James Prell: $35k → 15%YALE UNIVERSITY-STACY MALAKER: $35k → 12%UNC Chapel Hill-Mac Gilliland: $10k → 13%UNIVERSITY UTAH-GABE NAGY: $35k → 8%UNIVERSITY OF GA-FRANKLIN E LEACH: $35k → 27%FT LEWIS COLLEGE-CALLIE COLE: $20k → 12%INDIANA UNIVERSITY-IAN WEBB: $35k → 16%Ohio State-Abraham Badu-Tawia: $35k → 15%UNIVERSITY OF WA-MIKLOS GUTTMAN: $35k → 9%JAMES MADISON UNIVERSITY-C HUGHEY: $20k → 11%UNIVERSITY OF VA-GLORIA SHEYNKMAN: $35k → 22%Univ of Maryland-Peter Nemes: $35k → 11%Univ Minnesota-Romel P Dator: $10k → 11%UNIV GEORGIA-KELLY HINES: $35k → 27%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.

Which US states its grants reach

WA
MN
IL
WI
NY
OR
IN
OH
CT
CA
UT
CO
VA
MD
AZ
TN
NC
SC
OK
GA
TX
FL
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field
04the grantee network

7 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 7 of the 32 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
7/7
Grantees still filing
7/7
Grew since first funded

Where the money sits, by cause and then by grantee

UNIVERSITY OF GEORGIA: $70,000 · OtherUNIVERSITY OF GEORGIAREGENTS OF THE UNIVERSITY OF CALIFORNIA AT RIVERSIDE: $35,000 · OtherUNIVERSITY OF VA-GLORIA SHEYNKMAN: $35,000 · OtherREGENTS OF THE UNIVERSITY OF CALIFORNIA: $35,000 · OtherCEDARS-SINAI MEDICAL-JESSE MEYER: $35,000 · OtherUNIV OF WASHINGTON-NICHOLAS RILEY: $35,000 · OtherUNIVERSITY OF OKLAHOMA: $35,000 · OtherUNIVERSITY OF UTAH: $35,000 · OtherUNIVERSITY OF WASHINGTON: $35,000 · OtherTHE OHIO STATE UNIVERSITY: $35,000 · OtherIndiana University School of Medicine: $35,000 · OtherCOLORADO ENERGY OFFICE: $35,000 · OtherUNIVERSITY OF ARIZONA: $35,000 · OtherTHE UNIVERSITY OF TENNESSEE: $35,000 · OtherUNIVERSITY OF OREGON: $35,000 · OtherMARYLAND UNIVERSITY: $35,000 · OtherTEXAS A&M AGRILIFE RESEARCH: $35,000 · Other+8 more: $120,000 · Other+8 moreYale University: $70,000 · EducationYale UniversityUNIVERSITY OF MARYLAND COLLEGE PARK FOUNDATION INC: $35,000 · EducationUNIVERSITY OF MARYLAND CO…Baylor College of Medicine: $35,000 · EducationBaylor College of Medicin…FURMAN UNIVERSITY: $20,000 · EducationFURMAN UNIVERSITYST JOHN'S UNIVERSITY NEW YORK: $20,000 · EducationST JOHN'S UNIVERSITY NEW …GEORGE FOX UNIVERSITY: $20,000 · EducationGEORGE FOX UNIVERSITYVanderbilt University: $18,000 · EducationVanderbilt University
Other$750,000Education$218,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budgetYale University: $70,000 over 2y, 0.0% of budgetBaylor College of Medicine: $35,000 over 1y, 0.0% of budgetFURMAN UNIVERSITY: $20,000 over 1y, 0.0% of budgetST JOHN'S UNIVERSITY NEW YORK: $20,000 over 1y, 0.0% of budgetGEORGE FOX UNIVERSITY: $20,000 over 1y, 0.0% of budgetVanderbilt University: $18,000 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds Yale University ↗
  • Who funds UNIVERSITY OF MARYLAND COLLEGE PARK FOUNDATION INC ↗
  • Who funds Baylor College of Medicine ↗
  • Who funds FURMAN UNIVERSITY ↗
  • Who funds ST JOHN'S UNIVERSITY NEW YORK ↗
  • Who funds GEORGE FOX UNIVERSITY ↗
  • Who funds Vanderbilt University ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Tulsa Community Found…
Tulsa Community FoundationOK13.2× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Tulsa Community Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization American Society for Mass Spectrometry funds: left to right is the share of its income from government, bottom to top the share from American Society for Mass Spectrometry. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%5%10%15%20%share of the org’s income from government →median 9%
  • Yale University: 9% of income from government
  • George Fox University: 3% of income from government
no gov moneyreceives it· size = income
0get no government money at all
1report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–20%
typical government reliance, FY20–25
How this is measured
Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 32 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home