Policy Impact Analysis - 117/HR/9674

Bill Overview

Title: Immersive Technology for the American Workforce Act of 2022

Description: This bill establishes a grant program to assist community colleges and career and technical schools in developing immersive technology education and workforce training programs.

Sponsors: Rep. Blunt Rochester, Lisa [D-DE-At Large]

Target Audience

Population: Students and workers engaged in immersive technology education and training programs

Estimated Size: 15000000

Reasoning

Simulated Interviews

Community College Student (Los Angeles, CA)

Age: 19 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm excited about the potential to use immersive technology in my studies, it could really enhance my learning experience.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 8 6
Year 10 9 7
Year 20 8 7

Unemployed (Austin, TX)

Age: 32 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • This is a great chance for me to gain new skills that could make me employable in sectors like tech.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 7 5
Year 10 6 5
Year 20 6 5

Community College Instructor (Raleigh, NC)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • Introducing immersive technology in classrooms can greatly improve our teaching processes and outcomes.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

Technical School Student (Detroit, MI)

Age: 28 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • This could give me the edge I need in a competitive field

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 7
Year 5 9 6
Year 10 9 7
Year 20 8 7

Career Counselor (Seattle, WA)

Age: 54 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Supporting immersive tech is crucial for future-proofing the workforce

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 9 8
Year 10 9 8
Year 20 8 8

Technical School Student (Phoenix, AZ)

Age: 24 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This program would certainly add value to my education especially as I look to specialize.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 8 7
Year 10 8 7
Year 20 8 7

Manufacturing Worker (Chicago, IL)

Age: 39 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • If these programs are accessible, it would help me pivot to a career I am more passionate about.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 6
Year 5 8 6
Year 10 7 6
Year 20 7 6

Corporate Trainer (New York, NY)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • Innovative training methods like these could revolutionize corporate training.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 9 8
Year 5 8 8
Year 10 8 8
Year 20 7 8

Community College Student (Miami, FL)

Age: 21 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • I am excited to use the latest technology to make my ideas come alive.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 9 7
Year 3 9 7
Year 5 9 7
Year 10 8 7
Year 20 8 7

HR Manager (Denver, CO)

Age: 47 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 9/20

Statement of Opinion:

  • Programs like these could drive skills development that is very much needed in the workforce.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 8 7
Year 10 7 7
Year 20 7 7

Cost Estimates

Year 1: $28000000 (Low: $26000000, High: $30000000)

Year 2: $27000000 (Low: $25000000, High: $29000000)

Year 3: $25000000 (Low: $23000000, High: $27000000)

Year 5: $20000000 (Low: $18000000, High: $22000000)

Year 10: $15000000 (Low: $13000000, High: $17000000)

Year 100: $5000000 (Low: $4000000, High: $6000000)

Key Considerations