Funders › NY › The Wenner-Gren Foundation for Anthropological Research Inc › 2024
Grants paid by The Wenner-Gren Foundation for Anthropological Research Inc, tax year 2024
EIN 13-1813827 · New York, NY · Form 990-PF, Part XV
In tax year 2024, The Wenner-Gren Foundation for Anthropological Research Inc (EIN 13-1813827) reported 3 grants paid totaling $43,000. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2024
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Monika Agnieszka Jankowska Rybie | U | $25,000 | paid | JANKOWSKA, MONIKA (RICE U.) "ROBOT LAWYERS IN CHINA: WHO PRODUCES AND DISSEMINATES LEGAL KNOWLEDGE IN THE ERA OF GENERATIVE AI?" | 202543189349101729 |
| 2024 | Council On Foundations Washington, DC | B | $10,000 | paid | COUNCIL ON FOUNDATIONS, ARLINGTON, VA - TO AID GENERAL SUPPORT OF THE COUNCIL ON FOUNDATIONS PROGRAMS AND SERVICES - MISCELLANEOUS DONATIONS | 202543189349101729 |
| 2024 | Philanthropy New York New York, NY | B | $8,000 | paid | PHILANTHROPY NEW YORK, NEW YORK, NY - TO AID GENERAL SUPPORT OF PHILANTHROPY NEW YORK'S PROGRAMS AND SERVICES - MISC. DONATIONS | 202543189349101729 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990-PF e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.