FR 2020-29207

Overview

Title

Agency Information Collection Activities: Proposed Request

Agencies

ELI5 AI

The Social Security Administration wants to check with people on new plans to collect information, like asking people questions to learn about jobs and disability. They want to make sure it's easy for everyone to share what they think by March 8, 2021.

Summary AI

The Social Security Administration (SSA) has issued a notice of information collection activities that require clearance by the Office of Management and Budget (OMB) as per the Paperwork Reduction Act of 1995. The notice invites public comments on various aspects of the proposed data collections, including their accuracy and utility, and seeks ways to minimize the reporting burden on respondents. Among the projects detailed are the RETAIN demonstration, focused on improving employment retention for individuals with work disabilities, and the introduction of new systems for scheduling SSA appointments. SSA also outlines plans for surveys and interviews to gather data for its assessments and stresses the need for public feedback by March 8, 2021.

Type: Notice
Citation: 86 FR 667
Document #: 2020-29207
Date:
Volume: 86
Pages: 667-671

AnalysisAI

The document from the Federal Register authored by the Social Security Administration (SSA) outlines a set of information collection requests that require clearance from the Office of Management and Budget (OMB). This is in compliance with the Paperwork Reduction Act of 1995. These collections aim to gather public input on the accuracy, usefulness, and ease of data gathering processes involved in various SSA initiatives.

Summary of the Document

This notice provides an overview of several new and ongoing projects requiring data collection. Key among them is the RETAIN (Retaining Employment and Talent After Injury/Illness Network) demonstration project. This initiative, in partnership with the U.S. Department of Labor, aims to assess strategies for improving employment retention for individuals experiencing work disabilities. The document also introduces new methods for scheduling SSA appointments, alongside detailed plans for data collection through surveys and interviews.

Significant Issues or Concerns

Several potential issues and concerns arise from this document:

  1. Ambiguity in Responsibilities: The document lacks a clear explanation of which organizations are responsible for various stages of the projects outlined. This lack of clarification could breed confusion about accountability and oversight.

  2. Complex Language: The detailed sections, especially about the RETAIN project, are laden with complex language. For those without specialized knowledge, this has the potential to hinder understanding.

  3. Technical Jargon: Dense technical terminology, particularly concerning data collection methodologies, might act as a barrier for the general public or non-specialists, limiting transparency.

  4. Public Input Influence: While the notice calls for public comments on the proposed data collections, there is no clear description of how this input will affect decision-making or program execution.

  5. Absence of Financial Details: Although the document mentions funding and cost assessments, specific financial figures or budget allocations are not provided. This absence makes it challenging to critically assess potential financial mismanagement.

Potential Public Impact

Broadly, the initiatives described could enhance the SSA’s efficiency and effectiveness by gathering pertinent data to inform policy and practice. The proposed RETAIN demonstration aims to bolster employment retention, which could directly benefit those at risk of work disabilities, thereby reducing dependency on disability benefits and supporting economic participation.

Impacts on Specific Stakeholders

  • For Individuals with Disabilities: The RETAIN initiative, if successful, could lead to more robust support systems, enabling individuals to maintain employment despite medical challenges. This could greatly enhance their quality of life.

  • Government and Policy Makers: They are provided the opportunity to refine program structures and policies with data-driven insights. However, they might face challenges if they cannot decode the complex language and methodology.

  • General Public and Respondents: Public input is solicited, but the lack of clarity about its impact might discourage engagement. Should these comments be effectively considered, the programs could better align with public needs and concerns.

In conclusion, while the intentions behind the proposed data collections are commendable, issues of clarity and transparency must be addressed to maximize public engagement and ensure accountability in these important federal initiatives.

Issues

  • • The document outlines several different programs and initiatives without a clear indication of which specific organizations or entities are responsible for various stages of implementation. This lack of clarity could lead to confusion regarding accountability and oversight.

  • • Language used throughout the document, particularly in the section detailing the RETAIN project, is complex and may be difficult for readers without specialized knowledge to understand, potentially limiting transparency and public understanding.

  • • Some sections, such as the descriptions of data collection and evaluation methodologies, are densely packed with technical jargon, which might be a barrier to comprehension for the general public or non-specialist stakeholders.

  • • While the document describes avenues for public comment on the proposed data collections, it does not provide a straightforward explanation of how public input will influence decision-making processes or program implementation.

  • • There is mention of funding and cost assessments, such as in the cost-benefit analysis of RETAIN, but the document does not provide concrete financial figures or clearly outline the budget allocations, making it difficult to assess potential wasteful spending.

Statistics

Size

Pages: 5
Words: 2,789
Sentences: 106
Entities: 175

Language

Nouns: 1,084
Verbs: 249
Adjectives: 118
Adverbs: 29
Numbers: 80

Complexity

Average Token Length:
5.03
Average Sentence Length:
26.31
Token Entropy:
5.74
Readability (ARI):
19.12

Reading Time

about 10 minutes