Funders › MI › Don't Forget Me › 2022
Grants paid by Don't Forget Me, tax year 2022
EIN 84-3358278 · W Bloomfield, MI · Form 990, Schedule I · NTEE G80
In tax year 2022, Don't Forget Me (EIN 84-3358278) reported 7 grants paid totaling $432,051. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Mass General Hospital Research Boston, MA | D | $145,326 | paid | BPAN RESEARCH | 202311809349301016 |
| 2022 | Michigan Medicine Development Ann Arbor, MI | D | $90,000 | paid | BPAN RESEARCH | 202311809349301016 |
| 2022 | Children's Hospital of Philadelphia Research Institute Philadelphia, PA | U | $75,000 | paid | BPAN RESEARECH | 202311809349301016 |
| 2022 | Sanford Research Sioux Falls, SD | C | $49,028 | paid | BPAN RESEARCH | 202311809349301016 |
| 2022 | Harpers Hope Omaha, NE | U | $42,697 | paid | BPAN RESEARCH | 202311809349301016 |
| 2022 | Johns Hopkins University & Medicine Baltimore, MD | U | $24,500 | paid | BPAN RESEARCH | 202311809349301016 |
| 2022 | University of Michigan Ann Arbor, MI | U | $5,500 | paid | BPAN RESEARCH | 202311809349301016 |
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 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.