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· Public charity

Answer Als

To find solutions for people living with als now and for the future by utilizing knowledge of patients, leading researchers and technology to seek immediate solutions to improve the lives of those living with als until a treatment or cure is found; discover what causes als; develop models to understand als and screen for drug and…

$2.6M
Granted FY2024still arriving
11
Grants FY2024still arriving
6
States reached
$1.0M
Largest
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$13M
02FY2024 · 11 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k1 grant · $7k
  • $10k–50k4 grants · $109k
  • $50k–250k3 grants · $464k
  • $250k+3 grants · $2.0M
$60,678
Median grant
6
States reached
$7.4M
Total assets
Largest grants
RecipientAmount
JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE$1,029,803
CEDARS SINAI HOSPITAL$523,889
Individual grant recipient$487,346
DIAGENODE LLC$229,531
MICROSOFT$174,099
Individual grant recipient$60,678
LOUISIANA STATE UNIVERSITY$41,973
PENNINGTON BIOMEDICAL RESEARCH CENTER$41,947
ALMAGU$14,900
FOUNDATION FOR THE NATIONAL INSTITUTES OF HEALTH$10,000
UNIVERSITY OF NEW ORLEANS OFFICE OF RESEARCH$6,995
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 (FY17–24) land where the poverty rate runs at 16%, against an area that typically sits at 11%. 81% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%MASSACHUSETTS INSTITUTE OF TECHNOLOGY- MCGOVERN INSTITUTE: $200k → 8%CEDARS SINAI HOSPITAL: $947k → 14%ALMAGU: $15k → 17%EVERGREEN CIRCUITS LLC: $78k → 9%DIAGENODE LLC: $230k → 4%ON POINT SCIENTIFIC: $487k → 6%STAY STRONG VS ALS CHARITIES AID FOUNDATION AMERICA: $1.0M → 9%PENNINGTON BIOMEDICAL RESEARCH CENTER: $42k → 19%UNIVERSITY OF NEW ORLEANS OFFICE OF RESEARCH: $7k → 23%FOUNDATION FOR THE NATIONAL INSTITUTES OF HEALTH: $10k → 8%ROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF ME: $2.0M → 19%CEDARS SINAI HOSPITAL: $524k → 14%ALMAGU: $15k → 17%MICROSOFT: $174k → 9%DIAGENODE LLC: $227k → 4%ON POINT SCIENTIFIC: $54k → 6%LOUISIANA STATE UNIVERSITY: $42k → 19%ANTARES FORMERLY CONTINGASOFT: $61k → 23%ROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF ME: $1.5M → 19%CEDARS-SINAI MEDICAL CENTER: $367k → 14%LOUISIANA STATE UNIVERSITY: $41k → 19%JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE: $1.5M → 19%ROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF ME: $1.5M → 19%JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE: $1.0M → 19%JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE: $725k → 19%JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE: $500k → 19%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.

Which US states your grants reach

WA
NY
MA
NJ
CA
VA
MD
LA

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 edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

85%of every dollar goes to organizations you’ve funded before.
$11M · 7 repeat orgs$1.9M to everyone else

7 repeat relationships — 6 still active in FY2024, 1 since wound down; 5 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

7
4

Total granted

$11M
$1.6M

Still filing today

0%
25%

New vs renewed · share of each year

In FY2024, 89% of grant dollars renewed an existing relationship; $294k went to new ones.

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

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • RP
    ROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF ME
    3× · 2017–2019 · $5.0M
  • JH
    JOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE
    4× · 2021–2024 · $3.8M
  • CS
    CEDARS SINAI HOSPITAL
    2× · 2023–2024 · $1.5M

Funded once

  • SS
    STAY STRONG VS ALS CHARITIES AID FOUNDATION AMERICA
    one grant, 2020 · $1.0M
  • CEDARS-SINAI MEDICAL CENTERgraduated
    one grant, 2021 · $367k · revenue +31%
  • MI
    MASSACHUSETTS INSTITUTE OF TECHNOLOGY- MCGOVERN INSTITUTE
    one grant, 2022 · $200k

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

04Your field
04the grantee network

2 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. 2 of the 16 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)
2/2
Grantees still filing
1/2
Grew since you first funded

Where your money sits — by cause, then by grantee

ROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF ME — $5,000,000 · OtherROBERT PACKARD CENTER FOR ALS RESEARCH JOHN HOPKINS UNIVERSITY SCHOOL OF MEJOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINE — $3,754,653 · OtherJOHN HOPKINS UNIVERSITY SCHOOL OF MEDICINECEDARS SINAI HOSPITAL — $1,470,401 · OtherCEDARS SINAI HOSPITALSTAY STRONG VS ALS CHARITIES AID FOUNDATION AMERICA — $1,000,000 · OtherSTAY STRONG VS ALS CHARITIES AID FOUNDATION AMERICAIndividual grant recipient — $541,035 · OtherDIAGENODE LLC — $456,931 · Other+8 more — $674,617 · OtherCEDARS-SINAI MEDICAL CENTER — $367,200 · Health+1 more — $10,000 · Health
Other$12,897,637Health$377,200

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 budgetCEDARS-SINAI MEDICAL CENTER — $367,200 over 1y, 0.0% of budgetFoundation for the National Institutes of Health Inc — $10,000 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 CEDARS-SINAI MEDICAL CENTER
  • Who funds Foundation for the National Institutes of Health Inc

Government reliance of your grantees

Every dot is one organization Answer Als 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%1%3%4%5%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 · 0–5%
    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 Answer Als?

    Find your warmest path to Answer Als 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 16 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

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