FR 2025-02023

Overview

Title

Public Meeting; Center of Independent Experts Review of the Machine Learning Coupled With Fourier Transform Near-Infrared Spectroscopy of Otoliths to Age Fish

Agencies

ELI5 AI

The government is having a special meeting where people talk about using computers and light to find out how old fish are. You can go to the meeting in person or online, and everyone, including people with disabilities, should be able to join.

Summary AI

The National Marine Fisheries Service (NMFS) and National Oceanic and Atmospheric Administration (NOAA) announced a hybrid meeting by the Center of Independent Experts (CIE) to review a method for aging fish using machine learning and infrared spectroscopy. This meeting is scheduled to take place from February 11 to February 13, 2025, at the Alaska Fisheries Science Center in Seattle and online. Public comments will be allowed, and the meeting will accommodate individuals with disabilities. For more details, attendees should refer to the online link provided by NOAA.

Abstract

The Center of Independent Experts (CIE) review of the Machine Learning Coupled with Fourier Transform Near-infrared Spectroscopy of Otoliths to Age Fish will be held February 11, 2025, through February 13, 2025.

Type: Notice
Citation: 90 FR 8703
Document #: 2025-02023
Date:
Volume: 90
Pages: 8703-8704

AnalysisAI

The document in question announces a hybrid meeting organized by the National Marine Fisheries Service (NMFS) and National Oceanic and Atmospheric Administration (NOAA) that will be held from February 11-13, 2025. This meeting, hosted by the Center of Independent Experts (CIE), aims to review a method combining machine learning and infrared spectroscopy to determine the age of fish, a tool potentially useful for fisheries management.

General Summary

The document provides an overview of a scheduled public meeting to be held both in Seattle, Washington, and online, allowing for broader participation. The primary purpose is to assess a new fish aging technique that could enhance the accuracy of stock assessments crucial for sustainable fisheries. Importantly, there will be opportunities for public comments, indicating an inclusive approach to gathering community feedback.

Significant Issues or Concerns

Several areas of concern are evident in this announcement:

  • Lack of Cost Information: The absence of any mention of the estimated costs for organizing the hybrid meeting could raise questions about financial transparency, which is important for public accountability.

  • Public Engagement Clarity: While public comments are encouraged, the document does not specify how these comments will be utilized within the meeting framework, leading to potential ambiguities regarding the level of public engagement or influence on the outcome.

  • Technical Language: The complexity of the title—“Machine Learning Coupled With Fourier Transform Near-Infrared Spectroscopy of Otoliths”—might pose a barrier to understanding for those without a technical background, limiting accessibility for non-specialists.

  • Accommodation Details: Although the document states the meeting will be accessible to individuals with disabilities, it does not provide explicit details on the specific accommodations available or the procedure for requesting them, which could be problematic for attendees needing special assistance.

  • Review Criteria: The criteria or methodology by which the CIE will conduct its review are not detailed, potentially leading to confusion or skepticism about the evaluation process's fairness and rigor.

Impact on the Public

For the general public, this meeting represents a chance to learn and comment on advanced scientific methods being considered for fisheries management. By involving machine learning and spectroscopy, the methods being discussed could lead to more precise aging of fish, which is vital for maintaining balanced ecosystems and ensuring sustainable fishing practices.

Impact on Stakeholders

Positive Impacts:

  • Researchers and Scientists: This meeting provides a platform to discuss and refine scientific methods that could lead to groundbreaking advancements in how fish populations are monitored.

  • The Fishing Industry: More accurate fish aging could help ensure sustainable yields, benefiting long-term economic viability.

Negative Impacts:

  • General Public and Non-Specialists: Some individuals might find the technical jargon and lack of detailed layperson explanations alienating, hindering broader public involvement.

  • Stakeholders Needing Accommodations: Insufficient details regarding disability accommodations might discourage full participation by those requiring such services, potentially leading to decreased inclusivity.

Overall, while the meeting underscores progressive scientific collaboration between national bodies, stakeholders might benefit from additional clarity on logistical aspects and public engagement procedures.

Issues

  • • The document does not provide any detailed information about the estimated costs associated with conducting the hybrid meeting, which makes it difficult to assess for potential wasteful spending.

  • • There is no specific mention of how public comments will be integrated into the meeting process, which could be perceived as unclear or insufficient regarding public engagement.

  • • The language used in the title 'Machine Learning Coupled With Fourier Transform Near-infrared Spectroscopy of Otoliths' might be too technical and complex for the general public to understand easily.

  • • The document mentions that the meeting is physically accessible to people with disabilities but does not specify what accommodations are available or how to request them.

  • • The document does not clearly outline the criteria or process used by the CIE to conduct its review, which could lead to ambiguity about how readiness is assessed.

Statistics

Size

Pages: 2
Words: 458
Sentences: 17
Entities: 44

Language

Nouns: 154
Verbs: 21
Adjectives: 17
Adverbs: 10
Numbers: 34

Complexity

Average Token Length:
5.31
Average Sentence Length:
26.94
Token Entropy:
4.90
Readability (ARI):
20.18

Reading Time

about a minute or two