50
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Decoupling of the minority PhD talent pool and assistant professor hiring in medical school basic science departments in the US

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Faculty diversity is a longstanding challenge in the US. However, we lack a quantitative and systemic understanding of how the career transitions into assistant professor positions of PhD scientists from underrepresented minority (URM) and well-represented (WR) racial/ethnic backgrounds compare. Between 1980 and 2013, the number of PhD graduates from URM backgrounds increased by a factor of 9.3, compared with a 2.6-fold increase in the number of PhD graduates from WR groups. However, the number of scientists from URM backgrounds hired as assistant professors in medical school basic science departments was not related to the number of potential candidates (R 2=0.12, p>0.07), whereas there was a strong correlation between these two numbers for scientists from WR backgrounds (R 2=0.48, p<0.0001). We built and validated a conceptual system dynamics model based on these data that explained 79% of the variance in the hiring of assistant professors and posited no hiring discrimination. Simulations show that, given current transition rates of scientists from URM backgrounds to faculty positions, faculty diversity would not increase significantly through the year 2080 even in the context of an exponential growth in the population of PhD graduates from URM backgrounds, or significant increases in the number of faculty positions. Instead, the simulations showed that diversity increased as more postdoctoral candidates from URM backgrounds transitioned onto the market and were hired.

          DOI: http://dx.doi.org/10.7554/eLife.21393.001

          Related collections

          Most cited references75

          • Record: found
          • Abstract: found
          • Article: not found

          Rescuing US biomedical research from its systemic flaws.

          The long-held but erroneous assumption of never-ending rapid growth in biomedical science has created an unsustainable hypercompetitive system that is discouraging even the most outstanding prospective students from entering our profession--and making it difficult for seasoned investigators to produce their best work. This is a recipe for long-term decline, and the problems cannot be solved with simplistic approaches. Instead, it is time to confront the dangers at hand and rethink some fundamental features of the US biomedical research ecosystem.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Race, ethnicity, and NIH research awards.

            We investigated the association between a U.S. National Institutes of Health (NIH) R01 applicant's self-identified race or ethnicity and the probability of receiving an award by using data from the NIH IMPAC II grant database, the Thomson Reuters Web of Science, and other sources. Although proposals with strong priority scores were equally likely to be funded regardless of race, we find that Asians are 4 percentage points and black or African-American applicants are 13 percentage points less likely to receive NIH investigator-initiated research funding compared with whites. After controlling for the applicant's educational background, country of origin, training, previous research awards, publication record, and employer characteristics, we find that black applicants remain 10 percentage points less likely than whites to be awarded NIH research funding. Our results suggest some leverage points for policy intervention.
              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              How Economics Shapes Science

                Bookmark

                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                17 November 2016
                2016
                : 5
                : e21393
                Affiliations
                [1 ]deptOffice of Program Planning, Analysis and Evaluation , National Institute of General Medical Sciences , Bethesda, United States
                [2 ]deptPublic Health and Diversity Initiative , Association of American Medical Colleges , Washington, United States
                [3 ]deptDepartment of Engineering Management and Systems Engineering , The George Washington University , Washington, United States
                [4]eLife , United Kingdom
                [5]eLife , United Kingdom
                Author notes
                Author information
                http://orcid.org/0000-0002-3532-5396
                http://orcid.org/0000-0002-0521-3078
                http://orcid.org/0000-0002-3302-9497
                Article
                21393
                10.7554/eLife.21393
                5153246
                27852433
                5ea304cf-db73-45be-bc18-d4290ac64b31

                This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 12 September 2016
                : 11 November 2016
                Funding
                No external funding was received for this work.
                Categories
                Research
                Feature Article
                Custom metadata
                2.5
                A systems-level analysis of the biomedical workforce in the US shows that current strategies to enhance faculty diversity are unlikely to have a significant impact, and that there is a need to increase the number of PhDs from underrepresented minority backgrounds who move on to postdoctoral positions.

                Life sciences
                careers in science,workforce diversity,science policy,nih,grad school,postdoc,none
                Life sciences
                careers in science, workforce diversity, science policy, nih, grad school, postdoc, none

                Comments

                Comment on this article