Policy Impact Analysis - 117/S/4923

Bill Overview

Title: BADGES for Native Communities Act

Description: This bill revises federal policies and procedures related to information sharing, reporting, and investigating cases of missing, unidentified, or murdered Indians. Among other elements, the bill requires the Department of Justice to (1) establish a grant program for specified entities (e.g., tribes) to implement changes to enhance their responses to missing person cases and death investigations of interest to tribes, and (2) work with the Department of Health and Human Services to ensure that federal training resources and culturally appropriate mental health and wellness programs are available to tribal and Bureau of Indian Affairs (BIA) law enforcement officers experiencing occupational stress. The Department of the Interior must establish a five-year demonstration program for the purpose of conducting or adjudicating personnel background investigations for applicants for law enforcement positions in the BIA. The bill also requires the Government Accountability Office to conduct specified studies, including a study on the evidence collection, handling, and processing procedures and practices of federal law enforcement agencies.

Sponsors: Sen. Cortez Masto, Catherine [D-NV]

Target Audience

Population: Native American communities, including tribal populations and law enforcement personnel

Estimated Size: 10000000

Reasoning

Simulated Interviews

Tribal police officer (Navajo Nation, Arizona)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy would provide the much-needed resources for our community's police force.
  • Occupational stress can be overwhelming, but mental health support could make my job more manageable.

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 8 5
Year 20 6 4

Community leader (Cherokee Nation, Oklahoma)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm hopeful that federal assistance will bring improvements; it's needed.
  • The grant program can enable us to be more proactive in our responses.

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 8 6
Year 10 7 5
Year 20 6 5

Social worker (Urban area, California)

Age: 29 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Policies like these offer hope for addressing critical issues in our communities.
  • Better data sharing could drastically improve case handling and outcomes.

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 8 4
Year 20 7 4

BIA law enforcement officer (Pine Ridge Reservation, South Dakota)

Age: 52 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Officer safety is paramount, and having mental health resources is crucial.
  • Standardizing procedures will aid in effective case management.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 4
Year 2 6 4
Year 3 7 4
Year 5 7 3
Year 10 8 3
Year 20 6 3

Educator (Urban area, Minneapolis)

Age: 38 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • The safety of students and their families is of utmost importance.
  • Enhanced safety measures can ease the community's fears.

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 7 6
Year 10 6 5
Year 20 5 4

Retired (Rural area, Montana)

Age: 61 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Providing resources for wellness programs is a step in the right direction.
  • There should be more efforts made to address systemic issues.

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 6 5
Year 20 5 4

Graduate student (Urban area, Denver)

Age: 25 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 20/20

Statement of Opinion:

  • Increased data collection will aid my research and understanding.
  • There is potential for significant positive change if implementation is effective.

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

Journalist (Anchorage, Alaska)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • The bill could facilitate transparency and data integrity.
  • Ensuring safe communities is imperative for positive reporting.

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 8 7
Year 10 7 6
Year 20 6 5

Law student (Neah Bay, Washington)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 7.0 years

Commonness: 8/20

Statement of Opinion:

  • Efforts to build infrastructure for law enforcement are crucial for justice.
  • Legal improvements will support advocates' work.

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 7 5
Year 10 7 5
Year 20 6 5

Farmer (Rural area, New Mexico)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • These changes could stabilize our region and improve safety.
  • Support for law enforcement and community programs will be beneficial.

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

Year 2: $16000000 (Low: $13000000, High: $19000000)

Year 3: $17000000 (Low: $14000000, High: $20000000)

Year 5: $18000000 (Low: $15000000, High: $21000000)

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

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

Key Considerations