Applicant Diversity

The goal of the AIM-AHEAD Coordinating Center is to diversify the research workforce in AI/ML and Health Equity.  Consistent with the NIH Interest in Diversity (NOT-OD-20-031: Notice of NIH's Interest in Diversity), the following individuals are highly encouraged to apply for the traineeship:

1. Individuals from health disparity populations that have been shown by the National Science Foundation to be underrepresented in health-related sciences on a national basis (see http://www.nsf.gov/statistics/showpub.cfm?TopID=2&SubID=27 and the report Women, Minorities, and Persons with Disabilities in Science and Engineering). The following racial and ethnic groups have been shown to be underrepresented in biomedical research:
   1. Blacks or African Americans,
   2. Hispanics or Latinos,
   3. American Indians or Alaska Natives,
   4. Native Hawaiians and other Pacific Islanders.
   5. In addition, it is recognized that underrepresentation can vary from setting to setting; individuals from racial or ethnic groups that can be demonstrated convincingly to be underrepresented by the grantee institution should be encouraged to participate in NIH programs to enhance diversity. For more information on racial and ethnic categories and definitions, see the OMB Revisions to the Standards for Classification of Federal Data on Race and Ethnicity (https://www.govinfo.gov/content/pkg/FR-1997-10-30/html/97-28653.htm).
2. Individuals with disabilities, who are defined as those with a physical or mental impairment that substantially limits one or more major life activities, as described in the Americans with Disabilities Act of 1990, as amended. See National Science Foundation data at: https://www.nsf.gov/statistics/2017/nsf17310/static/data/tab7-5.pdf
3. Individuals from disadvantaged backgrounds, defined as those who meet two or more of the following criteria:
   1. Were or currently are homeless, as defined by the McKinney-Vento Homeless Assistance Act (Definition: https://nche.ed.gov/mckinney-vento/)
   2. Were or currently are in the foster care system, as defined by the Administration for Children and Families (Definition: https://www.acf.hhs.gov/cb/focus-areas/foster-care)
   3. Were eligible for the Federal Free and Reduced Lunch Program for two or more years (Definition: https://www.fns.usda.gov/school-meals/income-eligibility- guidelines)
   4. Have/had no parents or legal guardians who completed a bachelor’s degree (see https://nces.ed.gov/pubs2018/2018009.pdf)
   5. Were or currently are eligible for Federal Pell grants (Definition: https://www2.ed.gov/programs/fpg/eligibility.html)
   6. Received support from the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) as a parent or child (Definition: https://www.fns.usda.gov/wic/wic-eligibility-requirements)
   7. Grew up in one of the following areas:
      1. A U.S. rural area, as designated by the Health Resources and Services Administration (HRSA) Rural Health Grants Eligibility Analyzer (https://data.hrsa.gov/tools/rural-health), or
      2. A Centers for Medicare and Medicaid Services-designated Low-Income and Health Professional Shortage Area (qualifying zip codes are included in the file)

Note: Only one of the two areas under #vii can be used as a criterion for the disadvantaged background definition.

We are particularly interested in applicants from historically underrepresented groups in AI/ML, such as women, racial/ethnic minorities, people with disabilities, and individuals from rural or socially disadvantaged backgrounds.

• Students from low socioeconomic (SES) status backgrounds have been shown to obtain bachelor’s and advanced degrees at significantly lower rates than students from middle and high SES groups (see https://nces.ed.gov/programs/coe/) and are consequently less likely to be represented in biomedical research. For background see Department of Education data at:
• https://nces.ed.gov/
• https://nces.ed.gov/programs/coe/
• https://www2.ed.gov/rschstat/research/pubs/advancing-diversity-inclusion.pdf
• Literature shows that women from the above backgrounds (categories A and B) face particular challenges at the graduate level and beyond in scientific fields. (See, e.g., From the NIH: A Systems Approach to Increasing the Diversity of Biomedical Research Workforce https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008902/).
• Women are known to be underrepresented in doctorate-granting research institutions at senior faculty levels in most biomedical-relevant disciplines, and may also be underrepresented at other faculty levels in some scientific disciplines (See data from the National Science Foundation National Center for Science and Engineering Statistics: Women, Minorities, and Persons with Disabilities in Science and Engineering, special report available at https://www.nsf.gov/statistics/2017/nsf17310/, especially Table 9-23, describing science, engineering, and health doctorate holders employed in universities and 4-year colleges, by broad occupation, sex, years since doctorate, and faculty rank)