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California · Public charity

Pandas Networkorg

To improve the diagnosis and treatment of children with pandas (pediatric autoimmune neurological disorder associated with streptococcal infections).

$39k
Granted FY2024(still arriving)
1
Itemized grants FY2024
1
Organizations funded FY2023
100%
First-time grantees FY2023
Read the full brief
Itemized, FY2024
$25k
The rest is grants the schedule does not break out
Median grant, FY2024
$25,000
Largest grant, FY2024
$25,000
Organizations funded a year
1 to 2
FY2019 to FY2023
States reached, FY2024
1
Total assets, FY2024
$231k

How open it is to new grantees

In FY2023, 100% of the organizations Pandas Networkorg funded were first-time grantees, receiving 100% of its grant dollars.

New vs renewed · share of each year

In FY2023, 0% of grant dollars renewed an existing relationship; $20k went to new ones.

50%100%’20’21’22’23
RenewedFirst-time

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

’20’21’22’23
EducationScience & TechPhilanthropyHealthOther
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.
The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY2024still arriving1$25k0%
FY20231$20k100%
FY20222$60k100%
FY20212$46k100%
FY20202$96k100%
FY20191$30kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2024.

Health$219kScience & Tech$135kEducation$114kPhilanthropy$109k

Where its grants go

Grant dollars by states, across the years we hold.

Which US states its grants reach

NH
WI
NY
MA
CA
AZ
DC
OK

Top grantees

Largest recipients by total granted, FY2019 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
University of Arizona Foundation$53,00010%
The Scintillon Institute$45,00021%
Georgetown University$42,60010%
Mass General Brigham Incorporated$30,0001n/a
The Pace Foundation$25,500128%
University of Oklahoma Foundation Inc$20,98110%
Brain Inflammation Collaborative Inc$10,00012%

Plus 1 recipient with no EIN on record ($50k), not named here.

Compare Pandas Networkorg with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to Pandas Networkorg?

Find your warmest path to Pandas Networkorg 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.

About Pandas Networkorg

How much does Pandas Networkorg give?
Pandas Networkorg reported 1 itemized grants totaling $25,000, out of $39,025 in total grant expense reported on the return in its FY2024 IRS filing. It funded between 1 and 2 organizations a year over FY2019 to FY2023.
What does Pandas Networkorg fund?
By grant dollars over FY2019 to FY2024, its largest causes are Health (38%), Science & Tech (23%), Education (20%).
Who are Pandas Networkorg's largest grantees?
By total granted over FY2019 to FY2024: University of Arizona Foundation ($53k), The Scintillon Institute ($45k), Georgetown University ($43k).
Does Pandas Networkorg fund new organizations?
In FY2023, 100% of the organizations it funded were first-time grantees.
Where is Pandas Networkorg based?
Pandas Networkorg is based in CA.

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 11 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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