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Center for Applied Linguistics at a glanceAlso receives grants: funding profile →

· Public charity

Center for Applied Linguistics

The mission of the CENTER FOR APPLIED LINGUISTICS (cal) is to promote language learning and cultural understanding by serving as a trusted source for research, resources, and policy analysis.

$1.9M
Granted FY2025still arriving
6
Grants FY2025still arriving
4
States reached
$976k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through 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, FY2017 to 2024.

Education$9.2MScience & Tech$930kArts & Culture$497kHealth$63k
02FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • $10k–50k1 grant · $15k
  • $50k–250k3 grants · $334k
  • $250k+2 grants · $1.5M
$176,533
Median grant
4
States reached
$13M
Total assets
Largest grants
RecipientAmount
GEORGETOWN UNIVERSITY$975,812
INSTITUTE OF INTERNATIONAL EDUCATION$537,430
DIANE AUGUST & ASSOCIATES INC$176,533
EDGE STUDIO LLC$106,825
UNIVERSITY OF MARYLAND$50,556
SKYVIEW CONSULTING GROUP LLC$14,625
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 (FY17–25) land where the poverty rate runs at 14%, against an area that typically sits at 7%. 99% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%CONFIANZA LLC: $29k → 8%SRI INTERNATIONAL: $181k → 7%ENGAGE LANUAGE: $63k → 8%EDGE STUDIO LLC: $107k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $557k → 14%THE UNIVERSITY OF OREGON: $215k → 15%ILLUMINATED LLC: $27k → 6%TEACHERS OF ENGLISH TO SPEAKERS OF OTHER LANGUAGES INC: $123k → 9%DIANE AUGUST & ASSOCIATES INC: $177k → 8%THE UNIVERSITY OF MARYLAND: $54k → 11%SRI INTERNATIONAL: $79k → 7%EDGE STUDIO: $93k → 17%INSTITUTE OF INTERNATIONAL EDUCATION: $537k → 14%THE UNIVERSITY OF OREGON: $65k → 15%UNIVERSITY OF MARYLAND: $51k → 11%SRI INTERNATIONAL: $24k → 7%EDGE STUDIO: $79k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $527k → 14%THE UNIVERSITY OF MARYLAND: $46k → 11%EDGE STUDIO: $57k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $522k → 14%THE UNIVERSITY OF MARYLAND: $43k → 11%EDGE STUDIO: $55k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $516k → 14%SUPPORTED ED LLC: $27k → 6%THE UNIVERSITY OF MARYLAND: $39k → 11%EDGE STUDIO LLC: $50k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $476k → 14%THE UNIVERSITY OF MARYLAND: $39k → 11%EDGE STUDIO: $43k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $141k → 14%THE UNIVERSITY OF MARYLAND: $34k → 11%EDGE STUDIO: $36k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $130k → 14%THE UNIVERSITY OF MARYLAND: $26k → 11%EDGE STUDIO: $36k → 17%INSTITUTE FOR INTERNATIONAL EDUCATION: $98k → 14%THE UNIVERSITY OF MARYLAND: $25k → 11%WORLD DATA: $30k → 14%GEORGETOWN UNIVERSITY: $956k → 14%GEORGETOWN UNIVERSITY: $937k → 14%GEORGETOWN UNIVERSITY: $912k → 14%GEORGETOWN UNIVERSITY: $871k → 14%GEORGETOWN UNIVERSITY: $687k → 14%GEORGETOWN UNIVERSITY: $584k → 14%GEORGETOWN UNIVERSITY: $537k → 14%GEORGETOWN UNIVERSITY: $487k → 14%GEORGETOWN UNIVERSITY: $976k → 14%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

NY
MA
OR
CA
VA
MD
NC
DC
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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

96%of every dollar goes to organizations it has funded before.
$8.6M · 8 repeat orgs$405k to everyone else

8 repeat relationships: 3 still active in FY2025, 5 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
7

Total granted

$8.6M
$214k

Still filing today

38%
0%

New vs renewed · share of each year

In FY2025, 86% of grant dollars renewed an existing relationship; $191k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24’25
EducationScience & TechOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • GEORGETOWN UNIVERSITY
    9× · 2017–2025 · $6.9M · revenue +47%
  • ES
    EDGE STUDIO
    8× · 2018–2025 · $506k
  • UO
    UNIVERSITY OF MARYLAND COLLEGE PARK
    9× · 2017–2025 · $355k

Funded once

  • EL
    ENGAGE LANUAGE
    one grant, 2018 · $63k
  • ES
    EDGE STUDIO LLC
    one grant, 2017 · $50k
  • CL
    CONFIANZA LLC
    one grant, 2017 · $29k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

4 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. 4 of the 18 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)
4/4
Grantees still filing
3/4
Grew since first funded

Where the money sits, by cause and then by grantee

GEORGETOWN UNIVERSITY: $6,947,796 · EducationGEORGETOWN UNIVERSITY+1 more: $138,534 · EducationINSTITUTE OF INTERNATIONAL EDUCATION INC: $3,504,053 · InternationalINSTITUTE OF INTERNATIONAL EDUC…EDGE STUDIO: $505,615 · OtherEDGE STUDIOUNIVERSITY OF MARYLAND COLLEGE PARK: $355,282 · OtherUNIVERSITY OF M…THE UNIVERSITY OF OREGON: $279,856 · OtherTHE UNIVERSITY …DIANE AUGUST & ASSOCIATES INC: $176,533 · OtherDIANE AUGUST & …ILLUMINATED LLC: $71,103 · OtherENGAGE LANUAGE: $62,500 · Other+8 more: $210,856 · Other+8 moreSRI INTERNATIONAL: $284,551 · Science & Tech
Education$7,086,330International$3,504,053Other$1,661,745Science & Tech$284,551

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetGEORGETOWN UNIVERSITY: $6,947,796 over 9y, 0.1% of budgetINSTITUTE OF INTERNATIONAL EDUCATION INC: $3,504,053 over 9y, 0.2% of budgetSRI INTERNATIONAL: $284,551 over 3y, 0.0% of budgetTeachers of English to Speakers of Other Languages Inc: $138,534 over 2y, 2.3% 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 GEORGETOWN UNIVERSITY ↗
  • Who funds INSTITUTE OF INTERNATIONAL EDUCATION INC ↗
  • Who funds SRI INTERNATIONAL ↗
  • Who funds Teachers of English to Speakers of Other Languages Inc ↗

How much its grantees rely on government

Each dot is one organization Center for Applied Linguistics funds: left to right is the share of its income from government, bottom to top the share from Center for Applied Linguistics. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%23%45%68%90%share of the org’s 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 · 0–90%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Center for Applied Linguistics?

    Find your warmest path to Center for Applied Linguistics 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 18 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 2025, released 2025. 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