S 3029 DOE and NASA Interagency Research Coordination Act 2025

Authorize the Secretary of Energy and NASA Administrator to conduct collaborative R&D, including machine learning and data analytics. Require the development of methods for large data accommodation and promote inter-agency collaboration and data sharing.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-10-22

Risk subdomain coverage

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • AI system security vulnerabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with limited mention only of security vulnerabilities (2.2) through its research security provision. The document primarily focuses on authorizing and structuring interagency R&D collaboration rather than addressing AI-specific risks or harms. The research security reference provides minimal governance for security concerns but does not substantively address other risk domains in the MIT taxonomy.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Scientific Research & Development Services
  • Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Information
  • Educational Services
  • Health Care & Social Assistance
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs Scientific Research and Development Services and Public Administration sectors, with significant coverage of the activities of Department of Energy and NASA in conducting collaborative research. It also touches on National Security through National Laboratories and space-based systems, and Information sector through data processing infrastructure. The focus is on government-led scientific research and interagency coordination.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill that, when enacted, will create binding legal obligations on the Department of Energy and NASA. It uses mandatory language throughout ('shall') and establishes legal authorizations, requirements, and reporting obligations enforceable through Congressional oversight and administrative procedures.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with primary focus on Plan and Design (research coordination planning), Collect and Process Data (methods for large data sets, data sharing infrastructure), and Build and Use Model (machine learning, modeling and simulation for mission purposes). It includes minimal coverage of Verify and Validate through merit review processes. The document does not address deployment or operational monitoring of AI systems in production contexts.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • Predictive AI

Technical Scope Summary

The document explicitly mentions machine learning and data analytics as technical areas for collaboration but does not reference AI models, AI systems, or specific AI model types (frontier, general purpose, foundation, generative). It focuses on enabling research tools and methods rather than governing specific AI technologies or architectures. No compute thresholds or open-weight models are discussed.

https://www.congress.gov/bill/119th-congress/senate-bill/3029/text
https://agora.eto.tech/instrument/2863
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Document data from AGORA, CSET Emerging Technology Observatory.