Bill Overview
Title: Supporting Jobs through Evidence and Innovation Act
Description: This bill authorizes the Department of Labor to award competitive workforce development innovation grants to improve the design and delivery of employment and training services.
Sponsors: Rep. Sherrill, Mikie [D-NJ-11]
Target Audience
Population: People seeking access to or improvement in employment and training services globally
Estimated Size: 8000000
- The bill targets improvements in the design and delivery of employment and training services.
- It is centered around workforce development innovation grants.
- The Department of Labor is responsible for awarding these grants, which typically focus on the workforce.
- Employment and training services usually cater to unemployed, underemployed, and low-skilled workers seeking to improve employment opportunities.
Reasoning
- The policy is aimed at enhancing employment and training services which can benefit unemployed or underemployed individuals seeking new skills or job opportunities.
- Considering an estimated 6% of the U.S. workforce may actively seek training or employment services, the policy could significantly impact their well-being.
- The budget allows for scaling innovations, potentially improving these services for a broad segment, even beyond direct beneficiaries.
- Given the budget constraints, the policy would need to strategically allocate resources to maximize benefits and reach.
- Not everyone will be significantly affected by this policy; the impact largely depends on current employment status, job satisfaction, and access to training.
Simulated Interviews
Barista (Chicago, IL)
Age: 22 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 5.0 years
Commonness: 5/20
Statement of Opinion:
- I feel stuck in my current job and would like to find something more aligned with my degree.
- If this policy can help people like me find better jobs, that would be amazing.
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 | 8 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
Manufacturing Worker (Pittsburgh, PA)
Age: 45 | Gender: male
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- I worry about job security and being able to support my family.
- If this policy helps me get training for a different industry, that's peace of mind.
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 | 3 |
| Year 20 | 5 | 3 |
Freelance Graphic Designer (Austin, TX)
Age: 33 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 3.0 years
Commonness: 6/20
Statement of Opinion:
- I have skills but need recognized certifications to get more work.
- If it makes getting these certificates cheaper or easier, it'd definitely help.
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 | 5 |
| Year 20 | 6 | 5 |
Software Developer (Seattle, WA)
Age: 29 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 2.0 years
Commonness: 8/20
Statement of Opinion:
- I think continuous learning is important, but I can only afford it if it's subsidized.
- The policy seems promising if it leads to new courses for people in tech.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 7 | 7 |
| Year 20 | 6 | 6 |
Unemployed (Detroit, MI)
Age: 54 | Gender: female
Wellbeing Before Policy: 3
Duration of Impact: 10.0 years
Commonness: 4/20
Statement of Opinion:
- I'm actively job hunting but my skills are outdated.
- This policy gives me hope that I can be retrained and get back on my feet.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 4 | 3 |
| Year 2 | 5 | 3 |
| Year 3 | 6 | 3 |
| Year 5 | 6 | 2 |
| Year 10 | 5 | 2 |
| Year 20 | 4 | 2 |
Retail Manager (New York, NY)
Age: 40 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 7.0 years
Commonness: 9/20
Statement of Opinion:
- I've always wanted to transition to tech but the cost is a barrier.
- If this policy helps reduce those costs, I could finally make the switch.
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 | 7 | 5 |
| Year 20 | 6 | 5 |
Part-time Warehouse Associate (Columbus, OH)
Age: 19 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 4.0 years
Commonness: 10/20
Statement of Opinion:
- I'm trying to balance work and school, and it's really tough.
- If this policy makes finding a better job easier, that'd be incredible for me.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 7 | 5 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
Chef (Denver, CO)
Age: 37 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- Changing careers feels daunting and expensive.
- A policy like this might make it feasible to switch to something less physically demanding.
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 | 5 | 4 |
| Year 20 | 5 | 4 |
Retired (Phoenix, AZ)
Age: 62 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 3/20
Statement of Opinion:
- I've put work on the back burner, but extra funds to learn something new could be nice.
- Don't think this policy directly impacts me.
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 |
Event Planner (Miami, FL)
Age: 50 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 3.0 years
Commonness: 5/20
Statement of Opinion:
- I want to adapt to changing industry needs with some formal management training.
- If this policy can support that kind of training, it would be quite beneficial.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 6 | 6 |
| Year 10 | 6 | 5 |
| Year 20 | 5 | 5 |
Cost Estimates
Year 1: $200000000 (Low: $150000000, High: $250000000)
Year 2: $220000000 (Low: $170000000, High: $270000000)
Year 3: $240000000 (Low: $190000000, High: $290000000)
Year 5: $280000000 (Low: $230000000, High: $330000000)
Year 10: $0 (Low: $0, High: $0)
Year 100: $0 (Low: $0, High: $0)
Key Considerations
- Sufficient funding and effective implementation are crucial to achieving the expected benefits of the policy.
- Continuous evaluation of the program’s effectiveness could necessitate adjustments over time.
- Coordination with state and local agencies and existing workforce development programs will be important.