Grants paid by National Academy of Arbitrators Research and Education Foundation
EIN 38-2613043 · Cortland, NY · Form 990, Schedule I
National Academy of Arbitrators Research and Education Foundation of Cortland, NY (EIN 38-2613043) reported 13 grants paid totaling $253,091 to 11 recipients in tax years 2022–2024, on Form 990, Schedule I. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.
Grants paid
$253,091
13 grants
Recipients
11
distinct organizations
Tax years
2022–2024
3 filings in the corpus
By tax year
| Tax year | Grants paid | Amount paid | Approved for future |
|---|---|---|---|
| 2022 | 1 | $20,000 | — |
| 2023 | 4 | $85,140 | — |
| 2024 | 8 | $147,951 | — |
Top recipients
The 11 recipients receiving the most from National Academy of Arbitrators Research and Education Foundation, by grants paid, out of 11 distinct recipients.
| Recipient | Match | Location | Grants | Total paid | Latest year |
|---|---|---|---|---|---|
| Afca 82-1121257 | D | 1 | $66,500 | 2024 | |
| Brandeis University | U | 2 | $39,209 | 2024 | |
| Common Ground | U | 1 | $35,000 | 2023 | |
| Cornel University | U | 2 | $29,671 | 2024 | |
| Rutgers | U | 1 | $20,000 | 2024 | |
| Penn State University 24-6000376 | A | University Park, PA | 1 | $20,000 | 2022 |
| College of Labor and Employment | U | 1 | $15,824 | 2024 | |
| Cambodian Arbitration Council | U | 1 | $8,000 | 2024 | |
| Mariana Strategies | U | 1 | $7,500 | 2023 | |
| Stef Nelson | U | 1 | $6,000 | 2024 | |
| Misc | U | 1 | $5,387 | 2024 |
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.
Every grant
All 13 grant rows this organization reported, most recent first.
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Afca | D | $66,500 | paid | 202532309349301103 | |
| 2024 | Rutgers | U | $20,000 | paid | 202532309349301103 | |
| 2024 | College of Labor and Employment | U | $15,824 | paid | 202532309349301103 | |
| 2024 | Cornel University | U | $13,171 | paid | 202532309349301103 | |
| 2024 | Brandeis University | U | $13,069 | paid | 202532309349301103 | |
| 2024 | Cambodian Arbitration Council | U | $8,000 | paid | 202532309349301103 | |
| 2024 | Stef Nelson | U | $6,000 | paid | 202532309349301103 | |
| 2024 | Misc | U | $5,387 | paid | 202532309349301103 | |
| 2023 | Common Ground | U | $35,000 | paid | 202413059349302051 | |
| 2023 | Brandeis University | U | $26,140 | paid | 202413059349302051 | |
| 2023 | Cornel University | U | $16,500 | paid | 202413059349302051 | |
| 2023 | Mariana Strategies | U | $7,500 | paid | 202413059349302051 | |
| 2022 | Penn State University University Park, PA | A | $20,000 | paid | RESEARCH PROJECT | 202323179349308507 |
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.
Source filings
Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.
| Form | Tax year | Period end | Filed | Schema | IRS OBJECT_ID |
|---|---|---|---|---|---|
| 990 | 2024 | 2024-12-31 | not stated | 2024v5.0 | 202532309349301103 |
| 990 | 2023 | 2023-12-31 | not stated | 2023v5.0 | 202413059349302051 |
| 990 | 2022 | 2022-12-31 | not stated | 2022v5.0 | 202323179349308507 |
Derived from IRS Form 990 e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/382613043.json.
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.