Policy Impact Analysis - 117/HR/7180

Bill Overview

Title: Brycen Gray and Ben Price COVID–19 Cognitive Research Act

Description: This bill directs the National Science Foundation (NSF) to award competitive, merit-reviewed grants to eligible entities, including through the RAPID funding mechanism, to support interdisciplinary research on the disruption of regular cognitive processes associated with both short-term and long-term COVID-19 infections, including with respect to children and adolescents. No later than 45 days after the enactment of this bill, the NSF shall enter into an agreement with the National Academies of Sciences, Engineering, and Medicine to study and produce a report on the disruption of cognitive processes associated with COVID-19 infection.

Sponsors: Rep. Gonzalez, Anthony [R-OH-16]

Target Audience

Population: People experiencing cognitive disruptions due to COVID-19

Estimated Size: 20000000

Reasoning

Simulated Interviews

High School Student (Los Angeles, CA)

Age: 15 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I am worried about my school performance since I had COVID.
  • If the research can help me and kids like me, that would be amazing.

Wellbeing Over Time (With vs Without Policy)

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

University Professor (New York, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy is a step in the right direction for understanding long-term impacts of the pandemic.
  • I'm hopeful we can gain useful insights into helping affected individuals.

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 8
Year 20 9 8

Retired (Houston, TX)

Age: 60 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Research has already revealed so much, but this could improve life for those of us still struggling.
  • I hope this leads to better treatment options.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Chicago, IL)

Age: 35 | Gender: other

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm interested in the wider implications of this policy, though I haven't experienced any cognitive disruptions myself.
  • It's reassuring that steps are being taken to understand these effects.

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 9 9
Year 20 9 9

School Principal (Miami, FL)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The research findings could help schools develop better support systems for affected students.
  • Given the widespread impact of COVID-19, this is an important initiative.

Wellbeing Over Time (With vs Without Policy)

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

PhD Student (Seattle, WA)

Age: 25 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy could open up new research areas beneficial to my work.
  • Understanding cognitive disruption in kids is crucial for educational advancement.

Wellbeing Over Time (With vs Without Policy)

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

Tech Entrepreneur (San Francisco, CA)

Age: 32 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • I'm excited about potential tech solutions resulting from this kind of research.
  • While I haven’t been impacted, I see opportunities in the health-tech space.

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

Middle School Student (Austin, TX)

Age: 14 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 11/20

Statement of Opinion:

  • I hope this research helps kids like me who are having a tough time concentrating after COVID.
  • It's hard to keep up with school when you feel different.

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 5
Year 10 9 5
Year 20 8 5

Retired Nurse (Philadelphia, PA)

Age: 70 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm glad there's a focus on cognitive issues linked to COVID-19—it's much needed.
  • Hopefully, this leads to better ways to help people like me.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Worker (Denver, CO)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • These initiatives are crucial to understanding and supporting public health.
  • Research-driven outcomes may significantly benefit future protocols.

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 6

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $50000000 (Low: $30000000, High: $70000000)

Year 3: $50000000 (Low: $30000000, High: $70000000)

Year 5: $50000000 (Low: $30000000, High: $70000000)

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

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

Key Considerations