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Society for Healthcare Epidemiology of America Education & Research Foundation at a glanceAlso receives grants: funding profile →

· Public charity

Society for Healthcare Epidemiology of America Education & Research Foundation

The shea education & research foundation, formed in 2011, is dedicated to advancing the field of healthcare epidemiology, infection prevention and antimicrobial stewardship through education and research.

$122k
Granted FY2023
1
Grants FY2023
1
States reached
$40k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
04Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2023.

Health$90kEducation$70kScience & Tech$60k
02FY2023 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $40,000, the rows itemized in this filing. The $121,750 headline is the total grant expense on the return; the other $81,750 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.
$40,000
Median grant
1
States reached
$116k
Total assets
Largest grants
RecipientAmount
RUSH UNIVERSITY MEDICAL CENTER$40,000
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 (FY19–23) land where the poverty rate runs at 16%, against an area that typically sits at 13%. 76% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 13%BOSTON UNIVERSITY: $40k → 16%TRUSTEES OF UNIVERSITY OF PENNSYLVANIA: $30k → 22%WASHINGTON UNIVERSITY: $40k → 11%RUSH UNIVERSITY MEDICAL CENTER: $40k → 14%UNIVERSITY OF MARYLAND BALTIMORE: $20k → 19%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.

Grants abroad, by region: $21k on the FY2024 return

Schedule F, as filed: 4 regions, all to individuals. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

South Asia$10k · 48% · 6 people

Stated purpose: GRANTS TO RECEPIENTS

East Asia and the Pacific$4k · 19% · 2 people

Stated purpose: GRANTS TO RECEPIENTS

Sub-Saharan Africa$4k · 17% · 2 people

Stated purpose: GRANTS TO RECEPIENTS

North America (Canada and Mexico)$3k · 16% · 2 people

Stated purpose: GRANTS TO RECEPIENTS

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. Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
03Its field
04the grantee network

6 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. 6 of the 7 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)
0
Early backer (in before they grew)
6/6
Grantees still filing
6/6
Grew since first funded

Where the money sits, by cause and then by grantee

WASHINGTON UNIVERSITY: $40,000 · EducationWASHINGTON UNIVERSITYTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $30,000 · EducationTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIAYale University: $20,000 · EducationYale UniversityRush University Medical Center: $40,000 · HealthRush University Medical CenterDUKE UNIVERSITY HEALTH SYSTEM INC: $30,000 · HealthDUKE UNIVERSITY HEALTH SYSTEM INCTRUSTEES OF BOSTON UNIVERSITY: $40,000 · OtherTRUSTEES OF BOSTON UNIVERSITYUNIVERSITY OF MARYLAND COLLEGE PARK: $20,000 · OtherUNIVERSITY OF MARYLAND COLLEGE…
Education$90,000Health$70,000Other$60,000

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 budgetWASHINGTON UNIVERSITY: $40,000 over 1y, 0.0% of budgetRush University Medical Center: $40,000 over 1y, 0.0% of budgetTRUSTEES OF BOSTON UNIVERSITY: $40,000 over 1y, 0.0% of budgetTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $30,000 over 1y, 0.0% of budgetDUKE UNIVERSITY HEALTH SYSTEM INC: $30,000 over 1y, 0.0% of budgetYale University: $20,000 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.

How much its grantees rely on government

Each dot is one organization Society for Healthcare Epidemiology of America Education & Research Foundation funds: left to right is the share of its income from government, bottom to top the share from Society for Healthcare Epidemiology of America Education & Research Foundation. 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 12%
  • Trustees of Boston University: 12% of income from government
  • Yale University: 9% of income from government
no gov moneyreceives it· size = income
0get no government money at all
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.
04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Society for Healthcare Epidemiology of America Education & Research Foundation?

Find your warmest path to Society for Healthcare Epidemiology of America Education & Research Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

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 7 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports $73k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2023, the most recent year this funder named its grantees.

Source object · view filing

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