Bill Overview
Title: Bioindustrial and Additive Manufacturing for America Act of 2022
Description: This bill requires the Department of Defense (DOD) to transmit to the Joint Defense Manufacturing Council (1) a research, development, and implementation strategy for bioindustrial manufacturing; and (2) a strategy for additive manufacturing. DOD must also submit a copy of such strategies to Congress.
Sponsors: Sen. Duckworth, Tammy [D-IL]
Target Audience
Population: People in industries affected by bioindustrial and additive manufacturing
Estimated Size: 1500000
- The bill involves bioindustrial and additive manufacturing, which are specialized areas in the manufacturing industry.
- Bioindustrial manufacturing involves the use of biological systems for production, impacting industries such as pharmaceuticals, agriculture, and materials.
- Additive manufacturing refers to technologies that build 3D objects, commonly known as 3D printing, used in industries ranging from healthcare to aerospace.
- The Department of Defense's involvement suggests this legislation could affect entities related to national security, military operations, and defense contracting.
- The strategies developed will likely include public and private sector researchers, manufacturers, and developers in these fields globally, as well as policy makers and regulatory bodies.
Reasoning
- The policy affects niche industries related to bioindustrial and additive manufacturing, implying the direct influence on sectors such as pharmaceutical production, defense-related manufacturing, and 3D printing technology development.
- Given the relatively small budget considering the scale of the Department of Defense, this suggests targeted initiatives rather than broad structural change.
- Potential benefactors include defense contractors, researchers in associated technologies, suppliers within the manufacturing chain, and possibly educational entities specializing in these fields.
- Some individuals in these sectors may experience improvements in career opportunities or research funding, while others might see no change due to the specific focus of the defense-related strategies.
- The commonness score reflects how frequently one might encounter individuals belonging to these categories in the general U.S. or relevant industrial population.
Simulated Interviews
Biotech Research Scientist (Boston, MA)
Age: 34 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 2.0 years
Commonness: 8/20
Statement of Opinion:
- The policy might slightly boost funding options for bioindustrial research if it indirectly involves civilian applications.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 6 | 5 |
Defense Contractor Executive (San Diego, CA)
Age: 45 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- This policy likely leads to new projects which may require cutting-edge manufacturing solutions. It might not change personal wellbeing much but shifts provide a business advantage.
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 | 7 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
3D Printing Technician (Austin, TX)
Age: 29 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 3.0 years
Commonness: 12/20
Statement of Opinion:
- Our production could see a rise if there are defense contracts requiring additive manufacturing, affecting job security positively.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 6 | 5 |
| Year 3 | 7 | 5 |
| Year 5 | 6 | 5 |
| Year 10 | 6 | 5 |
| Year 20 | 6 | 5 |
Military Policy Analyst (Washington, D.C.)
Age: 38 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 1.0 years
Commonness: 7/20
Statement of Opinion:
- Implementation should provide enhanced strategic insights, though personal impact will be negligible.
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 |
Automotive Parts Manufacturer (Detroit, MI)
Age: 50 | Gender: male
Wellbeing Before Policy: 4
Duration of Impact: 4.0 years
Commonness: 10/20
Statement of Opinion:
- Potential to enter into the defense supply chain excites me, but access to resources might be constrained by the funding size.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 4 |
| Year 3 | 6 | 4 |
| Year 5 | 7 | 4 |
| Year 10 | 6 | 4 |
| Year 20 | 5 | 4 |
University Researcher (New York, NY)
Age: 27 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 3.0 years
Commonness: 14/20
Statement of Opinion:
- The policy may increase grant availability, fostering innovative research opportunities in bioindustrial fields.
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 | 7 | 6 |
| Year 10 | 6 | 6 |
| Year 20 | 6 | 6 |
Regulatory Affairs Specialist (Columbus, OH)
Age: 60 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 2.0 years
Commonness: 9/20
Statement of Opinion:
- This may enhance regulatory frameworks but won't change the nature or scope of individual work immediately.
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 |
Small Business Owner (Raleigh, NC)
Age: 40 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 1.5 years
Commonness: 11/20
Statement of Opinion:
- While hoping to benefit from defense sector changes, actual impact has been minimal due to the niche focus of the policy.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 5 | 5 |
| Year 10 | 5 | 5 |
| Year 20 | 4 | 4 |
Legal Expert (Chicago, IL)
Age: 33 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 1.0 years
Commonness: 8/20
Statement of Opinion:
- The legal implications of the policy could create new work which is always beneficial, though it doesn't directly affect my day-to-day wellbeing.
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 |
Mechanical Engineer (Houston, TX)
Age: 24 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 3.0 years
Commonness: 13/20
Statement of Opinion:
- With the policy, there may be new opportunities where my skills are applicable, improving my career prospects minimally.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 6 | 5 |
| Year 20 | 6 | 5 |
Cost Estimates
Year 1: $2000000 (Low: $1500000, High: $2500000)
Year 2: $1500000 (Low: $1000000, High: $2000000)
Year 3: $1000000 (Low: $500000, High: $1500000)
Year 5: $500000 (Low: $300000, High: $700000)
Year 10: $0 (Low: $0, High: $0)
Year 100: $0 (Low: $0, High: $0)
Key Considerations
- There is inherent uncertainty in R&D outcomes, which could affect anticipated costs and savings.
- Impact on domestic manufacturing capabilities and national security through enhanced production methods.
- The effectiveness of adoption and adaptation of these technologies by the defense sector.