National Institute of Standards and Technology October 2024 – Federal Register Recent Federal Regulation Documents
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NIST Consortium for Advancement of Genome Editing
The National Institute of Standards and Technology (NIST) extends the duration of the NIST Consortium for Advancement of Genome Editing (Genome Editing Consortium or Consortium). The Consortium duration was previously through December 1, 2025. NIST is taking this action to provide additional time for interested parties to join the Consortium to further pursue the implementation and achievement of outcomes of the current Consortium activities, as well as to address additional standards needs as defined by the Consortium in qualification of off-target assays and quality of genome editing components. Beginning January 1, 2026 participation fees will increase to $25,000 annually or in-kind contributions of equivalent value. Participants will be required to sign a Cooperative Research and Development Agreement (CRADA).
Visiting Committee on Advanced Technology
National Institute of Standards and Technology (NIST) Visiting Committee on Advanced Technology (VCAT or Committee) will meet on Tuesday, October 29, 2024, from 9:00 a.m. to 5:00 p.m. Eastern Time and Wednesday, October 30, 2024, from 9:00 a.m. to 11:00 a.m. Eastern Time.
Existing Awards and Recognition Programs for Standards Development and Best Practices for Standards Workforce Development in Support of the Implementation of the United States Government National Standards Strategy for Critical and Emerging Technology (USG NSSCET)
The U.S. Government National Standards Strategy for Critical and Emerging Technology (USG NSSCET) supports and complements existing private sector-led activities and plans, including the American National Standards Institute (ANSI) United States Standards Strategy (USSS), with a focus on critical and emerging technology (CET). The USG NSSCET Implementation Roadmap outlines immediate and long-term U.S. Government actions to reinforce the U.S. standards system. This Request for Information (RFI) solicits information to inform the Implementation Roadmap actions focused on increasing U.S. participation in standards development and educating the standards workforce. The RFI is also intended to maintain an open dialogue with the CET standards community on opportunities for continued coordination.
Agency Information Collection Activities; Submission to the Office of Management and Budget (OMB) for Review and Approval; Comment Request; National Cybersecurity Center of Excellence (NCCoE) Participant Letter(s) of Interest (LoI)
The Department of Commerce, in accordance with the Paperwork Reduction Act of 1995 (PRA), invites the general public and other Federal agencies to comment on proposed, and continuing information collections, which helps us assess the impact of our information collection requirements and minimize the public's reporting burden. The purpose of this notice is to allow for 60 days of public comment preceding submission of the collection to OMB.
Agency Information Collection Activities; Submission to the Office of Management and Budget (OMB) for Review and Approval; Comment Request; Baldrige Executive Fellow Program
The Department of Commerce, in accordance with the Paperwork Reduction Act of 1995 (PRA), invites the general public and other Federal agencies to comment on proposed, and continuing information collections, which helps us assess the impact of our information collection requirements and minimize the public's reporting burden. The purpose of this notice is to allow for 60 days of public comment preceding submission of the collection to OMB.
Safety Considerations for Chemical and/or Biological AI Models
The U.S. Artificial Intelligence Safety Institute (AISI), housed within the National Institute of Standards and Technology (NIST) at the Department of Commerce, is seeking information and insights from stakeholders on current and future practices and methodologies for the responsible development and use of chemical and biological (chem-bio) AI models. Chem-bio AI models are AI models that can aid in the analysis, prediction, or generation of novel chemical or biological sequences, structures, or functions. We encourage respondents to provide concrete examples, best practices, case studies, and actionable recommendations where possible. Responses may inform AISI's overall approach to biosecurity evaluations and mitigations.
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