HRES954-119

Introduced

Electing a Member to a certain standing committee of the House of Representatives.

119th Congress Introduced Dec 17, 2025

Legislative Progress

Introduced
Introduced Committee Passed
Dec 17, 2025

Dec 17, 2025 (inferred)

Passed House (inferred from eh version)

Summary

What This Bill Does
This House Resolution formally elects Representative Donald Beyer of Virginia to serve on the House Committee on Science, Space, and Technology. It is a procedural measure that fills a vacant committee seat.

Who Benefits and How
Representative Donald Beyer gains a seat on the Science, Space, and Technology Committee, which oversees federal science policy, NASA, the National Science Foundation, and technology research. The Committee gains a new member to help fulfill its legislative responsibilities.

Who Bears the Burden and How
This is a procedural resolution with no financial or regulatory impact. There are no costs, new requirements, or burdens imposed on any entity.

Key Provisions
- Elects Representative Donald Beyer (D-VA) to the House Committee on Science, Space, and Technology
- Takes effect immediately upon passage by the House of Representatives

Model: claude-opus-4
Generated: Dec 27, 2025 17:12

Evidence Chain:

This summary is derived from the structured analysis below. See "Detailed Analysis" for per-title beneficiaries/burden bearers with clause-level evidence links.

Primary Purpose

Elects Representative Donald Beyer (D-VA) to serve on the House Committee on Science, Space, and Technology.

Policy Domains

Congressional Administration Committee Assignments

Legislative Strategy

"Standard procedural resolution to fill committee membership vacancies"

Likely Beneficiaries

  • Representative Donald Beyer (gains committee assignment)
  • Committee on Science, Space, and Technology (gains new member)

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Congressional Administration
Actor Mappings
"mr_beyer"
→ Representative Donald Beyer (D-VA)

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.

Learn more about our methodology