Policy Impact Analysis - 117/S/3740

Bill Overview

Title: Micro Act of 2022

Description: This bill requires the Department of Energy to carry out a program, which includes workforce training and development, to accelerate research for designing, developing, and manufacturing next-generation microelectronics.

Sponsors: Sen. Kelly, Mark [D-AZ]

Target Audience

Population: People in industries related to microelectronics, energy technology, and related supply chains

Estimated Size: 5000000

Reasoning

Simulated Interviews

Microelectronics Engineer (San Jose, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • The policy seems promising for my work in energy-efficient microelectronics.
  • I'm hopeful that workforce training will bring in fresh talent and ideas.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 6
Year 3 9 6
Year 5 9 5
Year 10 10 5
Year 20 9 4

PhD Student in Electrical Engineering (Austin, TX)

Age: 26 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I'm excited about the funding opportunities that might enhance our research capabilities.
  • I hope this leads to more practical, industry-aligned projects in my department.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 5
Year 3 8 5
Year 5 9 5
Year 10 8 4
Year 20 6 4

Energy Sector Manager (Albany, NY)

Age: 51 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 8/20

Statement of Opinion:

  • This could improve our collaboration with tech firms focused on sustainable energy solutions.
  • I anticipate a better alignment with federal clean energy goals.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 7 6
Year 5 7 5
Year 10 8 5
Year 20 7 4

Data Scientist (Boston, MA)

Age: 33 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • I see potential in this act for tech professionals like myself who focus on sustainability.
  • Workforce training could upskill many of my colleagues.

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 6 5

Software Developer (Pittsburgh, PA)

Age: 29 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • I think the policy will indirectly affect me, possibly through collaborations in sustainable tech.
  • It's an encouraging step towards a greener future.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 7 5
Year 20 5 4

Manufacturing Plant Supervisor (Raleigh, NC)

Age: 39 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 3/20

Statement of Opinion:

  • I hope this increases our plant's capacity for R&D in new microelectronics.
  • Workforce training is much needed to keep us competitive.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 6
Year 3 8 5
Year 5 8 5
Year 10 9 4
Year 20 8 4

Automotive Engineer (Detroit, MI)

Age: 58 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 9/20

Statement of Opinion:

  • The act isn't groundbreaking for my work but could have peripheral benefits.
  • Microelectronics advancements can help in vehicle technology too.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 5 4

Undergraduate Student (Philadelphia, PA)

Age: 22 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • I see this as a chance for more internships and research opportunities.
  • Major projects like these can greatly influence my career path.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Consultant (Portland, OR)

Age: 47 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 13/20

Statement of Opinion:

  • I'm keen to see if this act leads to meaningful environmental impacts.
  • The connection between tech advancement and sustainability is complex but vital.

Wellbeing Over Time (With vs Without Policy)

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

Retired Electronics Teacher (Chicago, IL)

Age: 63 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • As a retired educator, I find this policy refreshing, although it won't directly affect me.
  • I'd love to see it inspire more young people to enter the field.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $30000000 (Low: $25000000, High: $35000000)

Year 2: $32000000 (Low: $27000000, High: $37000000)

Year 3: $34000000 (Low: $29000000, High: $39000000)

Year 5: $36000000 (Low: $31000000, High: $41000000)

Year 10: $40000000 (Low: $35000000, High: $45000000)

Year 100: $0 (Low: $0, High: $0)

Key Considerations