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Georgia · Public charity

Good Science Project

The Good Science Project is dedicated to improving scientific progress via education, research, publications, and public advocacy as to effective science policy and funding.

$283k
Granted FY2025(still arriving)
2
Grants FY2025
Read the full brief
Median grant, FY2025
$218,460
Largest grant, FY2025
$218,460
States reached, FY2025
2
Total assets, FY2025
$556k

Top grantees

Largest recipients by total granted, FY2025 to FY2025, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
University of Pittsburgh$218,46010%
The Analogue Group Inc$65,000114%

Compare Good Science Project with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to Good Science Project?

Find your warmest path to Good Science Project 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 Good Science Project

How much does Good Science Project give?
Good Science Project reported 2 grants totaling $283,460 in its FY2025 IRS filing.
What does Good Science Project fund?
By grant dollars over FY2025 to FY2025, its largest causes are Science & Tech (100%).
Who are Good Science Project's largest grantees?
By total granted over FY2025 to FY2025: University of Pittsburgh ($218k), The Analogue Group Inc ($65k).
Where is Good Science Project based?
Good Science Project is based in GA.

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 2 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