Policy Impact Analysis - 117/S/4902

Bill Overview

Title: Invent Here, Make Here for Homeland Security Act

Description: This bill restricts the manufacture abroad of products invented using funding provided by the Department of Homeland Security (DHS). Specifically, the bill prohibits a firm or nonprofit organization which receives title to any subject invention developed under a funding agreement with DHS from granting to any person the exclusive right to use or sell such invention unless that person agrees that any products embodying, or produced through the use of, such invention will be manufactured substantially in the United States. The bill authorizes waivers of this prohibition in certain instances, but prohibits waivers for products that will be manufactured substantially in a country of concern, including North Korea, China, Russia, and Iran.

Sponsors: Sen. Portman, Rob [R-OH]

Target Audience

Population: People involved in manufacturing of homeland security-related inventions globally

Estimated Size: 500000

Reasoning

Simulated Interviews

Manufacturing Manager (Buffalo, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I think this policy could be quite beneficial in terms of creating more jobs locally. However, I'm concerned about the potential increase in production costs which might affect our competitiveness.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (Austin, TX)

Age: 30 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy doesn't directly impact my daily work, but I do appreciate the attempt to bring jobs into the country. It aligns with my values.

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 8 8
Year 10 8 8
Year 20 8 8

Startup Founder (San Francisco, CA)

Age: 37 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Securing jobs stateside is good, but I’m anxious about potential constraints on where we can manufacture, potentially limiting partnerships.

Wellbeing Over Time (With vs Without Policy)

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

Mechanical Engineer (Detroit, MI)

Age: 29 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The scope of local manufacturing growth is promising. However, I’m cautious about the real economic impact long-term.

Wellbeing Over Time (With vs Without Policy)

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

Policy Analyst (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy underscores the need for strategic economic shifts, yet viable mechanisms for implementation are key.

Wellbeing Over Time (With vs Without Policy)

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

HR Director (Atlanta, GA)

Age: 42 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • We’re debating expanding here; this could tip scales but requires negotiation with partners abroad.

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 7 6
Year 10 8 6
Year 20 7 6

Research Scientist (Chicago, IL)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Strategically valuable projects might face unnecessary boundaries, complicating logistics and execution.

Wellbeing Over Time (With vs Without Policy)

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

Logistics Coordinator (Houston, TX)

Age: 39 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • The complexity for importing components could rise, affecting how we coordinate operations.

Wellbeing Over Time (With vs Without Policy)

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

Manufacturing Technician (Raleigh, NC)

Age: 28 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 6/20

Statement of Opinion:

  • I’ve just started my job because of these shifts, so I’m hopeful it brings more stability for workers like myself.

Wellbeing Over Time (With vs Without Policy)

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

Financial Analyst (San Diego, CA)

Age: 33 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 12/20

Statement of Opinion:

  • The shift could increase costs but the long-term outcome needs thorough analysis; it's a balance of immediate costs against eventual gains.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $52000000 (Low: $31000000, High: $75000000)

Year 3: $55000000 (Low: $33000000, High: $80000000)

Year 5: $60000000 (Low: $35000000, High: $90000000)

Year 10: $70000000 (Low: $40000000, High: $105000000)

Year 100: $100000000 (Low: $60000000, High: $150000000)

Key Considerations