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· Public charity

Castleman Disease Collaborative Network

To develop awareness of castleman's disease and to raise money to fund education and laboratory research to determine cause, treatment and ultimate cure.

$298k
Granted FY2024still arriving
2
Grants FY2024still arriving
1
States reached
$278k
Largest

Read this first · the figures below need context

93% of Castleman Disease Collaborative Network’s FY2024 grant dollars went to Trustees Of The University Of Pennsylvania, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2024 names 1 organization directly, so a portfolio cannot be read from it.

Organizations named directly on the return

0
17
2
19
2
20
0
21
1
22
1
23
1
24

Amber years are those where most dollars went to a sponsor.

01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172024.

Health$2.0M
02FY2024 · 2 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • $10k–50k1 grant · $20k
  • $250k+1 grant · $278k
$278,000
Median grant
1
States reached
$3.0M
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF PENNSYLVANIA$278,000
UPLIFTING ATHLETES INC$20,000
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.

Your US giving — 88% of grant dollars ($1.7M). The need read here covers only this US portion; the 12% that went abroad ($244k) is mapped below.

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 20%, against an area that typically sits at 13%. 94% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 13%UPLIFTING ATHLETES INC: $20k → 6%UNIVERSITY OF PENNSYLVANIA: $291k → 22%COLUMBIA UNIVERSITY: $18k → 17%INSERM DR PARIS 7: $50k → 5%UPLIFTING ATHLETES INC: $10k → 6%UNIVERSITY OF PENNSYLVANIA: $280k → 22%ICAHN SCHOOL OF MEDICINE: $51k → 17%UPLIFTING ATHLETES INC: $10k → 6%UNIVERSITY OF PENNSYLVANIA: $280k → 22%UPLIFTING ATHLETES INC: $10k → 6%UNIVERSITY OF PENNSYLVANIA: $278k → 22%UPLIFTING ATHLETES INC: $10k → 6%UNIVERSITY OF PENNSYLVANIA: $231k → 22%UNIVERSITY OF PENNSYLVANIA: $131k → 22%UNIVERSITY OF PENNSYLVANIA: $80k → 22%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.

Beyond the US — 12% of all-years giving ($244k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
France$244k · 5 grants

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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.

04

Where the work is directed

The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.

About 92% of Castleman Disease Collaborative Network’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another.

Castleman Disease Collaborative Networklessmore of its giving
Placed by recipient address · 12% directed abroad (not shown)

Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.

03Your edge
04Your field
05the grantee network

4 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. 4 of the 7 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)
1
Early backer (in before they grew)
4/4
Grantees still filing
4/4
Grew since you first funded

Where your money sits — by cause, then by grantee

TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA — $1,571,049 · EducationTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA+2 more — $91,358 · Education+2 moreELSE CARE CARENITY — $193,700 · OtherELSE CARE CARE…INSERM DR PARIS 7 — $50,440 · OtherINSERM DR PARI…TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK — $17,500 · OtherTRUSTEES OF CO…UPLIFTING ATHLETES INC — $60,000 · Health
Education$1,662,407Other$261,640Health$60,000

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

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA — $1,571,049 over 7y, 0.0% of budgetUPLIFTING ATHLETES INC — $60,000 over 5y, 1.8% of budgetICAHN SCHOOL OF MEDICINE AT MOUNT SINAI — $51,358 over 1y, 0.0% of budgetTHE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY — $40,000 over 1y, 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 TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA
  • Who funds UPLIFTING ATHLETES INC
  • Who funds ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
  • Who funds THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

Government reliance of your grantees

Every dot is one organization Castleman Disease Collaborative Network 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.

2024
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 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, 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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Castleman Disease Collaborative Network?

    Find your warmest path to Castleman Disease Collaborative Network 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 7 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 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

    More from the funding graph