Designating March 24th, 2023, as National Women of Color in Tech Day.
Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.
Summary
What This Bill Does
The bill provides that the Senate— designates March 24, 2023, as National Women of Color in Tech Day. It relies on appropriations. The main policy areas are Education, Energy, Science & Space, and Civil Rights.
Who Benefits and How
The main beneficiaries are the people, organizations, or agencies identified in the bill's substantive provisions.
Who Bears the Burden and How
Tribal governments and members affected by the bill could lose revenue opportunities, Researchers and scientific institutions affected by the bill could lose revenue opportunities, and Natural gas companies and customers affected by the bill could lose revenue opportunities.
Key Provisions
- Provides that the Senate— designates March 24, 2023, as National Women of Color in Tech Day.
Evidence Chain:
This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.
At a Glance
What This Bill Does
The bill provides that the Senate— designates March 24, 2023, as National Women of Color in Tech Day.
Key Policy Areas
Education, Energy, Science & Space, Civil Rights
Primary Purpose
The bill provides that the Senate— designates March 24, 2023, as National Women of Color in Tech Day.
Policy Domains
Whole bill
Identified Costs
- Tribal governments and members affected by the bill
- Researchers and scientific institutions affected by the bill
- Natural gas companies and customers affected by the bill
- Educational institutions and students affected by the bill
Sponsors
Legislative Progress
In CommitteeMs. Rosen (for herself, Mr. Wicker, Ms. Duckworth, Ms. Hirono, …
Impact analysis is available but no clear stakeholder effects identified. View clause-level analysis →
Bill Structure & Actor Mappings
Who is "The Secretary" in each section?
We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.
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