Policy Impact Analysis - 117/HR/9521

Bill Overview

Title: SAFE Laboratories Act

Description: This bill prohibits federal assistance to the Wuhan Institute of Virology or any other laboratory located in a country determined to be a foreign adversary, including China, Russia, North Korea, and Iran.

Sponsors: Rep. Stewart, Chris [R-UT-2]

Target Audience

Population: global scientific community connected with adversary nations

Estimated Size: 500

Reasoning

Simulated Interviews

Research Scientist (Chicago, IL)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • My collaboration with the lab in China has been mutually beneficial, but I understand the national security concerns. I am anxious about the impact on my research.

Wellbeing Over Time (With vs Without Policy)

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

Genomics Researcher (Research Triangle Park, NC)

Age: 38 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • The funding helped us access precious data. Losing it means rethinking our resource and data strategy but might push us to innovate locally.

Wellbeing Over Time (With vs Without Policy)

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

Academic Researcher (San Francisco, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • While I understand national security, the policy might inadvertently stifle scientific brevity. But perhaps it encourages strength in U.S.-centric networks.

Wellbeing Over Time (With vs Without Policy)

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

PhD Student (Austin, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • As a student, I'm worried about losing access to crucial data and prolonged project timelines. The policy means uncertainty, but perhaps later stability.

Wellbeing Over Time (With vs Without Policy)

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

Policy Analyst (Washington, D.C.)

Age: 42 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm in favor of securing national interests. This opens new avenues for domestic research collaborations, potentially raising innovation within the U.S.

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 9 9
Year 20 9 9

Clinical Research Coordinator (New Haven, CT)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • It complicates our current trials, requiring us to tap into non-traditional and possibly more localized resources, which might not be bad in the long run.

Wellbeing Over Time (With vs Without Policy)

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

Biomedical Engineer (Seattle, WA)

Age: 55 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 1.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy might initially slow our collaborative work, but may refocus efforts towards domestic tech development to offset international changes.

Wellbeing Over Time (With vs Without Policy)

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

Biochemist (Cambridge, MA)

Age: 31 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 5/20

Statement of Opinion:

  • Losing unique data like this is hard. We'll need to improvise, which might hinder progress, but encourage creativity if tackled correctly.

Wellbeing Over Time (With vs Without Policy)

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

Postdoc Scientist (Boston, MA)

Age: 37 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • The curtailment of funds limits our data access, pushing us to innovate elsewhere, which is frustrating but mildly exciting.

Wellbeing Over Time (With vs Without Policy)

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

Assistant Professor (New York, NY)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm at the cusp of important research impacted by this policy, it's daunting, but re-strategizing may forge new pathways domestically.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $4000000, High: $7000000)

Year 2: $4500000 (Low: $3500000, High: $6500000)

Year 3: $4000000 (Low: $3000000, High: $6000000)

Year 5: $3500000 (Low: $2500000, High: $5500000)

Year 10: $3000000 (Low: $2000000, High: $5000000)

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

Key Considerations