Policy Impact Analysis - 117/HR/9259

Bill Overview

Title: Cybersecurity Skills Integration Act

Description: This bill requires the Department of Education to establish a pilot program in order to award grants to partnerships between postsecondary educational institutions and employers in critical infrastructure sectors for cybersecurity education programs.

Sponsors: Rep. Langevin, James R. [D-RI-2]

Target Audience

Population: Individuals involved in cybersecurity education and employment in critical infrastructure sectors

Estimated Size: 200000

Reasoning

Simulated Interviews

Computer Science Student (San Francisco, CA)

Age: 21 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm excited about the potential partnerships my university could form under this policy.
  • Having direct links to employers in the industry will probably provide me with better job opportunities.

Wellbeing Over Time (With vs Without Policy)

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

Cybersecurity Manager (Houston, TX)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy may ease our hiring process by increasing the pool of qualified candidates.
  • Our industry needs this kind of focused educational output.

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 9 8
Year 10 9 8
Year 20 9 8

Cybersecurity Analyst (New York, NY)

Age: 35 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • Having more robust programs would have aided my learning and career growth easily.
  • I hope it includes community colleges too.

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 6
Year 20 7 6

Information Technology Student (Raleigh, NC)

Age: 23 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This is a great opportunity, but it might be too late for me personally.
  • Working alongside employers during the course could have been beneficial.

Wellbeing Over Time (With vs Without Policy)

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

Freelance Cybersecurity Consultant (Chicago, IL)

Age: 28 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm skeptical about the bureaucracy involved, it might delay immediate benefits.
  • Hopefully, the focus isn't just on large universities and companies.

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

Finance Sector Employee (Los Angeles, CA)

Age: 38 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • The resulting increase in skilled workers can only benefit our sector's security operations.
  • This might take time to trickle down though.

Wellbeing Over Time (With vs Without Policy)

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

Information Systems Student (Boston, MA)

Age: 19 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 12.0 years

Commonness: 4/20

Statement of Opinion:

  • A program like this would mean access to internships and better resources.
  • It sounds like an opportunity to specialize early in my career.

Wellbeing Over Time (With vs Without Policy)

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

Professor of Computer Science (Seattle, WA)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 2/20

Statement of Opinion:

  • The grants could significantly expand our capacity for research and student engagement.
  • It can put us on the map for cybersecurity education.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Austin, TX)

Age: 30 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • I doubt this policy will impact me directly, but more skilled professionals in the market can only help the industry.
  • Maybe in indirect ways, it will lead to stronger tech innovations.

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

Retired IT Executive (Phoenix, AZ)

Age: 55 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • This policy is a positive step towards addressing a crucial skill gap.
  • Preparation against cyber threats is essential, and this will help immensely.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $40000000, High: $70000000)

Year 2: $40000000 (Low: $30000000, High: $60000000)

Year 3: $35000000 (Low: $30000000, High: $50000000)

Year 5: $30000000 (Low: $25000000, High: $45000000)

Year 10: $0 (Low: $0, High: $0)

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

Key Considerations