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New York · Public charity

Data & Society Research Institute Inc

Data & society research institute, inc. Advances public understanding of the social and cultural implications of data-centric technologies and automation. Through interdisciplinary research and engagement, the institute works to ensure that knowledge guides development and governance of technology.

$50k
Granted FY2023
1
Grants FY2023
1
Organizations funded FY2023
Read the full brief
Median grant, FY2023
$50,000
Largest grant, FY2023
$50,000
States reached, FY2023
1
Total assets, FY2023
$10M

Top grantees

Largest recipients by total granted, FY2023 to FY2023, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Georgetown University$50,00010%

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About Data & Society Research Institute Inc

How much does Data & Society Research Institute Inc give?
Data & Society Research Institute Inc reported 1 grants totaling $50,000 in its FY2023 IRS filing.
What does Data & Society Research Institute Inc fund?
By grant dollars over FY2023 to FY2023, its largest causes are Education (100%).
Who are Data & Society Research Institute Inc's largest grantees?
By total granted over FY2023 to FY2023: Georgetown University ($50k).
Where is Data & Society Research Institute Inc based?
Data & Society Research Institute Inc is based in NY.

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 1 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2023, the most recent year this funder made grants.

Source object · view filing

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More from the funding graph

The unnamed billions
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By state
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