H-1B One Workforce Grant Program Supporting Statement

H-1B One Workforce Grant Program Supporting Statement.docx

DOL Generic Solution for Funding Opportunity Announcements

H-1B One Workforce Grant Program Supporting Statement

OMB: 1225-0086

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Funding Opportunity Announcement

H-1B One Workforce Grant Program

Supplemental Justification


Supplemental Supporting Statement A: Justification


This request seeks OMB approval under the Paperwork Reduction Act for the unique information collection requirements in the H-1B One Workforce Grant Program. The H-1B One Workforce Grant Program will encourage states and economic regions to work with industry stakeholders to develop dynamic workforce strategies that train workers and jobseekers for middle- to high-skilled H-1B occupations in key industry sectors such as Information Technology (IT), advanced manufacturing, and transportation that are being transformed by technological advancements and automation. By forging public-private partnerships—H-1B One Workforce Partnerships—applicants will bring together industry and employers, education and training providers, the workforce system, state and local government, and other entities that will work collaboratively to align resources in response to employer demand and to offer novel education and job training solutions that generate positive outcomes and results.


The Department of Labor will award grants ranging from $500,000 to $10 million to an H-1B Workforce Partnership; the lead applicant and include public and private sector entities. Lead applicants include

a) businesses, business-related nonprofit organizations, such as industry and trade associations, and organizations functioning as a workforce intermediary for the express purpose of serving the needs of an industry; or b) education and training providers, including community colleges, other community-based organizations, and for-profit educational and training institutions; or c) entities involved in administering the public workforce system established under WIOA; and d) economic development agencies.


Applications will include the following information collections: 1) Form SF-424 “Application for Federal Assistance,” separately cleared under OMB control number 4040-0004, 2) Project Budget, 3) Project Narrative, and 4) Attachments to the Project Narrative.


Electronic availability:


This grant solicitation is available on the grants.gov website. Based on past DOL experience, the Department anticipates that at least 80 percent of responses will be submitted electronically.


Small Entities:


This information collection will not have a significant impact on a substantial number of small entities.


Assurances of confidentiality:


These grant solicitations do not offer applicants assurances of confidentiality.


Special circumstances:


This FOA implicates no special circumstances.


Burden:


Based on past experience, the DOL expects to receive approximately 100 applications from an equal number of respondents.  The ETA estimates public reporting burden for the information collection to average 20 hours per response for reviewing instructions, searching existing data sources, gathering and maintaining needed data, and completing and reviewing the collection of information.


100 applications x 20 hours = 2,000 hours


The DOL uses the average hourly earnings in the professional and business services industry of $35.15 per hour to monetize this burden.  See The Employment Situation—August 2020, DOL, Bureau of Labor Statistics, https://www.bls.gov/news.release/pdf/empsit.pdf, at page 35.


2,000 hours x $35.15 = $70,300


The DOL associates no other burden costs with this information collection. In addition to the application, each grantee will be required to submit quarterly financial, performance, and narrative reports to the ETA. Those information collection requirements will be cleared under a separate control number.


Total burden: 100 respondents, 100 responses, 2,000 hours, $0 other cost burden.


Supplemental Supporting Statement B: Statistical Methods


This information collection does not employ statistical methods.

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