Policy Impact Analysis - 117/HR/6588

Bill Overview

Title: Cyber Ready Workforce Act

Description: This bill directs the Department of Labor to award grants to workforce intermediaries (entities that facilitate the establishment of registered apprenticeship programs and that may partner with a business or community-based organization, or specified other partners) to support the establishment, implementation, and expansion of such programs in cybersecurity.

Sponsors: Rep. Lee, Susie [D-NV-3]

Target Audience

Population: Individuals entering the cybersecurity workforce

Estimated Size: 1000000

Reasoning

Simulated Interviews

Recent Computer Science Graduate (San Francisco, California)

Age: 23 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • This program could provide me with the skills and experience needed to start my career in cybersecurity.
  • The financial support for apprenticeships is really important for someone like me just starting out.

Wellbeing Over Time (With vs Without Policy)

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

Cybersecurity Professional (Austin, Texas)

Age: 34 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • While I think the policy is great for new entrants, it won't really affect those of us already established.
  • I do think it could help with diversity in our field, which is much needed.

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

IT Support Specialist (New York, New York)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy could be the push I need to move into a more specialized field like cybersecurity.
  • I'm hopeful that these programs will offer real hands-on experience.

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 7 6
Year 20 7 6

High School Teacher (Rural Ohio)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy could enhance my teaching by providing real-world opportunities for my students.
  • Apprenticeships might not reach rural areas effectively unless targeted outreach is part of the policy.

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 7 7

Policy Analyst (Washington, D.C.)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 6/20

Statement of Opinion:

  • The Cyber Ready Workforce Act is a step in the right direction from a policy standpoint.
  • The success of this policy will largely depend on its implementation details.

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

Student (Los Angeles, California)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • I'm excited about the opportunities this policy might bring for students like me entering cybersecurity.
  • I hope that these apprenticeships are widely available and accessible.

Wellbeing Over Time (With vs Without Policy)

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

Cybersecurity Training Instructor (Chicago, Illinois)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 8.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy offers an opportunity to grow my institute by participating in the apprenticeship programs.
  • It could also help train the kind of professionals that industries need.

Wellbeing Over Time (With vs Without Policy)

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

Community Organizer (Miami, Florida)

Age: 53 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Through partnerships, this policy can be a game-changer for underserved communities who often miss out on tech workforce opportunities.
  • It will require intentional community outreach, though.

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 8 6
Year 10 7 6
Year 20 7 6

High School Senior (Seattle, Washington)

Age: 19 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm eager for more practical learning experiences in cybersecurity, and this policy might provide that.
  • I hope my school encourages application to these programs.

Wellbeing Over Time (With vs Without Policy)

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

University Professor (Boston, Massachusetts)

Age: 60 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy is beneficial for students and institutions as it aligns academic learning with industry skills.
  • Integrating these apprenticeships into our curriculum could be seamless with proper resources.

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

Cost Estimates

Year 1: $15000000 (Low: $12000000, High: $18000000)

Year 2: $14000000 (Low: $11000000, High: $17000000)

Year 3: $13000000 (Low: $10000000, High: $16000000)

Year 5: $11000000 (Low: $9000000, High: $13000000)

Year 10: $10000000 (Low: $8000000, High: $12000000)

Year 100: $5000000 (Low: $4000000, High: $6000000)

Key Considerations