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· Public charity

Achievement Rewards for College Scientists Foundation Inc MWC

To provide scholar awards to academically outstanding United States citizens studying to complete degrees in the fields of science, medicine and engineering, thereby contributing to the advancement of science and technology.

$275k
Granted FY2025still arriving
5
Grants FY2025still arriving
3
States reached
$75k
Largest
01What you fund
01

What you funded, over time

By grantee IRS cause code (NTEE).

A cause breakdown isn’t shown here: 44% of Achievement Rewards for College Scientists Foundation Inc MWC’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.

02FY2025 · 5 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • $10k–50k3 grants · $135k
  • $50k–250k2 grants · $140k
$45,000
Median grant
3
States reached
$1.9M
Total assets
Largest grants
RecipientAmount
Johns Hopkins University$75,000
Georgetown University$65,000
George Washington University$45,000
University of Maryland$45,000
University of Virginia$45,000
02The need
03

Do your dollars go where the need is?

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

show:

Dollar for dollar, your grants (FY17–25) land where the poverty rate runs at 13%, against an area that typically sits at 15%. 21% of your dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 15%Georgetown University: $65k → 14%UNIVERSITY OF VIRGINIA: $60k → 8%UNIVERSITY OF MARYLAND: $75k → 11%Johns Hopkins University: $75k → 19%GEORGETOWN UNIVERSITY: $60k → 14%UNIVERSITY OF VIRGINIA: $58k → 8%UNIVERSITY OF MARYLAND: $70k → 11%JOHNS HOPKINS UNIVERSITY: $65k → 19%GEORGETOWN UNIVERSITY: $45k → 14%UNIVERSITY OF VIRGINIA: $55k → 8%UNIVERSITY OF MARYLAND: $68k → 11%JOHNS HOPKINS UNIVERSITY: $53k → 19%GEORGETOWN UNIVERSITY: $45k → 14%UNIVERSITY OF VIRGINIA: $53k → 8%UNIVERSITY OF MARYLAND: $63k → 11%JOHNS HOPKINS UNIVERSITY: $50k → 19%GEORGETOWN UNIVERSITY: $45k → 14%UNIVERSITY OF VIRGINIA: $50k → 8%UNIVERSITY OF MARYLAND: $50k → 11%JOHNS HOPKINS UNIVERSITY: $45k → 19%GEORGETOWN UNIVERSITY: $45k → 14%UNIVERSITY OF VIRGINIA: $45k → 8%UNIVERSITY OF MARYLAND: $45k → 11%JOHNS HOPKINS UNIVERSITY: $45k → 19%GEORGETOWN UNIVERSITY: $30k → 14%University of Virginia: $45k → 8%UNIVERSITY OF MARYLAND: $45k → 11%JOHNS HOPKINS UNIVERSITY: $45k → 19%GEORGETOWN UNIVERSITY: $30k → 14%UNIVERSITY OF VIRGINIA: $45k → 8%UNIVERSITY OF MARYLAND: $45k → 11%JOHNS HOPKINS UNIVERSITY: $45k → 19%GEORGETOWN UNIVERSITY: $30k → 14%UNIVERSITY OF VIRGINIA: $45k → 8%University of Maryland: $45k → 11%JOHNS HOPKINS UNIVERSITY: $40k → 19%GEORGE WASHINGTON UNIV: $45k → 14%GEORGE WASHINGTON UNIVERSITY: $45k → 14%George Washington University: $45k → 14%GEORGE WASHINGTON UNIVERSITY: $45k → 14%GEORGE WASHINGTON UNIVERSITY: $45k → 14%GEORGE WASHINGTON UNIV: $45k → 14%GEORGE WASHINGTON UNIVERSITY: $35k → 14%GEORGE WASHINGTON UNIVERSITY: $30k → 14%GEORGE WASHINGTON UNIVERSITY: $18k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your field
04the grantee network

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

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 3 of the 5 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
3/3
Grantees still filing
3/3
Grew since you first funded

Where your money sits — by cause, then by grantee

JOHNS HOPKINS UNIVERSITY — $462,500 · EducationJOHNS HOPKINS UNIVERSITYGEORGETOWN UNIVERSITY — $395,000 · EducationGEORGETOWN UNIVERSITYThe George Washington University — $352,500 · EducationThe George Washington UniversityUNIVERSITY OF MARYLAND — $505,000 · OtherUNIVERSITY OF MARYLANDUNIVERSITY OF VIRGINIA — $455,000 · OtherUNIVERSITY OF VIRGINIA
Education$1,210,000Other$960,000

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%grantee revenue →↑ your share of their budgetJOHNS HOPKINS UNIVERSITY — $462,500 over 9y, 0.0% of budgetGEORGETOWN UNIVERSITY — $395,000 over 9y, 0.0% of budgetThe George Washington University — $352,500 over 9y, 0.0% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

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

  • Who funds JOHNS HOPKINS UNIVERSITY
  • Who funds GEORGETOWN UNIVERSITY
  • Who funds The George Washington University

Government reliance of your grantees

Every dot is one organization Achievement Rewards for College Scientists Foundation Inc MWC funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

2025
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%5%10%15%20%share of the org’s income from governmentmedian 11%
  • Johns Hopkins University11% 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, FY2025

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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 5 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

Generated from your IRS Form 990 e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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