FR 2021-02280

Overview

Title

National Center for Advancing Translational Sciences; Notice of Closed Meeting

Agencies

ELI5 AI

The National Center for Advancing Translational Sciences is having a secret meeting to talk about who might get money for research projects. They keep it secret because they will discuss private and important stuff, like people's special ideas and details.

Summary AI

The National Center for Advancing Translational Sciences is holding a closed meeting to review grant applications. This virtual meeting is scheduled for February 17, 2021, from 9:00 a.m. to 5:00 p.m. The discussions will involve confidential information, which is why it will not be open to the public. Details include potential trade secrets and private information related to individuals involved with the applications.

Type: Notice
Citation: 86 FR 8209
Document #: 2021-02280
Date:
Volume: 86
Pages: 8209-8209

AnalysisAI

The document in question is a notice published in the Federal Register by the National Institutes of Health regarding a closed meeting organized by the National Center for Advancing Translational Sciences. This meeting, scheduled for February 17, 2021, will be held virtually and is intended to review and evaluate grant applications. The meeting remains closed to the public due to the sensitive nature of the discussions, which involve confidential information that could include trade secrets and personal details.

General Summary

The notice informs the public of a scheduled meeting by a special emphasis panel tasked with evaluating grant applications for collaborative innovation awards. This event will occur as a virtual meeting and has specific plans to cover its agenda from 9:00 a.m. to 5:00 p.m. The meeting is legally closed under specific sections of Title 5 of the United States Code to protect confidential information and personal privacy.

Significant Issues or Concerns

A significant concern in this document is the closure of the meeting to the public. The rationale for this decision is to protect sensitive information, such as patentable material and personal details concerning the grant proposal's individuals. This ensures that both intellectual property rights and individual privacy are safeguarded. However, such closures could also prompt questions about transparency in the grant evaluation process, which is an important aspect of public trust in governmental and scientific proceedings.

Impact on the Public

The general public may have minimal immediate involvement with the specifics of this meeting since it is closed. Still, there are broader implications. The meeting's outcomes could influence research directions and innovations in pharmacology, physiology, and chemical research, areas that eventually impact public health outcomes. By ensuring the protection of confidential information, the public hopes that new scientific advancements can be pursued without compromising proprietary or personal information.

Impact on Specific Stakeholders

For stakeholders, particularly those in the research community, the outcomes of this meeting are crucial. Researchers and institutions vying for grants could either benefit or miss opportunities based on the review outcomes. The protection of proprietary information is a positive aspect, as it ensures that innovative ideas are not prematurely exposed, potentially impacting their competitive edge. Conversely, applicants who are not awarded funding may be concerned about the lack of transparency of the decision-making process, impacting future grant proposal strategies.

In summary, while the closed meeting of the National Center for Advancing Translational Sciences may guard necessary private information, it also underlines the importance of finding a balance between privacy protection and transparency. The outcomes will impact not only the applicants but potentially the broader sphere of translational science and public health advancements.

Statistics

Size

Pages: 1
Words: 330
Sentences: 11
Entities: 38

Language

Nouns: 132
Verbs: 14
Adjectives: 9
Adverbs: 2
Numbers: 30

Complexity

Average Token Length:
5.42
Average Sentence Length:
30.00
Token Entropy:
4.69
Readability (ARI):
22.26

Reading Time

about a minute or two