funder-graph

FundersTXCenter for Applied Science & Technology Network › 2020

Grants paid by Center for Applied Science & Technology Network, tax year 2020

EIN 82-5253554 · San Antonio, TX · Form 990, Schedule I · NTEE B90

In tax year 2020, Center for Applied Science & Technology Network (EIN 82-5253554) reported 6 grants paid totaling $4,850,800. Dataset version 2026.09.0, built 2026-09-03.

20192020202120232025

Every grant, 2020

Grants reported by Center for Applied Science & Technology Network for tax year 2020
Tax yearRecipientMatchAmountTypePurposeSource filing
2020East Central Independent School District San Antonio, TXU$2,000,000paidSTART UP GRANT FOR CAST LEAD202111379349304541
2020Saisd Foundation San Antonio, TXA$1,580,800paidSTART UP GRANTS FOR CAST TECH AND CAST MED202111379349304541
2020Southwest Isd San Antonio, TXA$1,000,000paidSTART UP GRANT FOR CAST STEM202111379349304541
2020University of Texas San Antonio San Antonio, TXA$180,000paidRESIDENCY PROGRAM202111379349304541
2020Texas A&m San Antonio San Antonio, TXA$90,000paidRESIDENCY PROGRAM202111379349304541
2020Advanced Learning Academy San Antonio, TXA$0 + $10,869 non-cashpaidSOFTWARE202111379349304541

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.