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California · Public charity

Open Research Lab

Open Research Lab seeks to answer open-ended questions and develop technology that should not be owned by any one company and requires work on a very long time horizon. With investment in fundamental research declining, Open Research Lab seeks to fill fundamental research gaps.

$1.0M
Granted FY2020
1
Grants FY2020
1
Organizations funded FY2020
100%
First-time grantees FY2020
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Median grant, FY2020
$1,000,000
Largest grant, FY2020
$1,000,000
Organizations funded a year
1 to 1
FY2017 to FY2020
States reached, FY2020
1
Total assets, FY2020
$3.0M

How open it is to new grantees

In FY2020, 100% of the organizations Open Research Lab funded were first-time grantees, receiving 100% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20201$1.0M100%
FY20171$500kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2020.

Recreation & Sports$1.0MHealth$500k

Top grantees

Largest recipients by total granted, FY2017 to FY2020, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Watsi Inc$500,000116%

Plus 1 recipient with no EIN on record ($1.0M), not named here.

Compare Open Research Lab with peer funders

About Open Research Lab

How much does Open Research Lab give?
Open Research Lab reported 1 grants totaling $1,000,000 in its FY2020 IRS filing. It funded between 1 and 1 organizations a year over FY2017 to FY2020.
What does Open Research Lab fund?
By grant dollars over FY2017 to FY2020, its largest causes are Recreation & Sports (67%), Health (33%).
Who are Open Research Lab's largest grantees?
By total granted over FY2017 to FY2020: Watsi Inc ($500k).
Does Open Research Lab fund new organizations?
In FY2020, 100% of the organizations it funded were first-time grantees.
Where is Open Research Lab based?
Open Research Lab 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 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 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

Source object · view filing

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