IDEAS home Printed from https://ideas.repec.org/p/kan/wpaper/201006.html
   My bibliography  Save this paper

Diversity in Academic Biomedicine: An Evaluation of Education and Career Outcomes with Implications for Policy

Author

Listed:
  • Donna K. Ginther

    (Department of Economics, The University of Kansas)

Abstract

Currently, the U.S. population is undergoing major racial and ethnic demographic shifts that could affect the pool of individuals interested in pursuing a career in biomedical research. To achieve its mission of improving health, the National Institutes of Health must recruit and train outstanding individuals for the biomedical workforce. In this study, we examined the educational transition rates in the biomedical sciences by gender, race, and ethnicity, from high school to academic career outcomes. Using a number of educational databases, we investigated gender and racial/ethnic representation at typical educational and career milestones en route to faculty careers in biomedicine. We then employed multivariate regression methods to examine faculty career outcomes, using the National Science Foundation’s Survey of Doctorate Recipients. We find that while transitions between milestones are distinctive by gender and race/ethnicity, the transitions between high school and college and between college and graduate school are critical points at which underrepresented minorities are lost from the biomedical pipeline, suggesting some specific targets for policy intervention.

Suggested Citation

  • Donna K. Ginther, 2010. "Diversity in Academic Biomedicine: An Evaluation of Education and Career Outcomes with Implications for Policy," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201006, University of Kansas, Department of Economics, revised Sep 2010.
  • Handle: RePEc:kan:wpaper:201006
    as

    Download full text from publisher

    File URL: http://www2.ku.edu/~kuwpaper/2009Papers/201006.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monica Gaughan & Stéphane Robin, 2004. "National science training policy and early scientific careers in France and the United States," Post-Print hal-00279013, HAL.
    2. Gaughan, Monica & Robin, Stephane, 2004. "National science training policy and early scientific careers in France and the United States," Research Policy, Elsevier, vol. 33(4), pages 569-581, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sofia P. Baker & Cory Koedel, 2024. "Diversity trends among faculty in STEM and non-STEM fields at selective public universities in the U.S. from 2016 to 2023," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
    2. Diyi Li & Cory Koedel, 2016. "Representation and Salary Gaps by Race/Ethnicity and Gender at Selective Public Universities," Working Papers 1613, Department of Economics, University of Missouri, revised Apr 2017.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeongeun Kim & Molly Ott & Lindsey Dippold, 2020. "University and Department Influences on Scientists’ Occupational Outcomes," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(2), pages 197-228, March.
    2. Youtie, Jan & Rogers, Juan & Heinze, Thomas & Shapira, Philip & Tang, Li, 2013. "Career-based influences on scientific recognition in the United States and Europe: Longitudinal evidence from curriculum vitae data," Research Policy, Elsevier, vol. 42(8), pages 1341-1355.
    3. Elizabeth A. Corley & Barry Bozeman & Xuefan Zhang & Chin-Chang Tsai, 2019. "The expanded scientific and technical human capital model: the addition of a cultural dimension," The Journal of Technology Transfer, Springer, vol. 44(3), pages 681-699, June.
    4. Fernandez-Zubieta, Ana & Geuna, Aldo & Lawson, Cornelia, 2015. "What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201522, University of Turin.
    5. Quentin Plantec & Benjamin Cabanes & Pascal Le Masson & Benoit Weil, 2023. "Caractérisation et performances des thèses Cifre," Working Papers hal-04099283, HAL.
    6. Luis Sanz-Menéndez & Laura Cruz-Castro & Kenedy Alva, 2013. "Time to Tenure in Spanish Universities: An Event History Analysis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    7. Herrera, Liliana & Muñoz-Doyague, Maria Felisa & Nieto, Mariano, 2010. "Mobility of public researchers, scientific knowledge transfer, and the firm's innovation process," Journal of Business Research, Elsevier, vol. 63(5), pages 510-518, May.
    8. Ponomariov, Branco L. & Boardman, P. Craig, 2010. "Influencing scientists' collaboration and productivity patterns through new institutions: University research centers and scientific and technical human capital," Research Policy, Elsevier, vol. 39(5), pages 613-624, June.
    9. Geuna, Aldo & Kataishi, Rodrigo & Toselli, Manuel & Guzmán, Eduardo & Lawson, Cornelia & Fernandez-Zubieta, Ana & Barros, Beatriz, 2015. "SiSOB data extraction and codification: A tool to analyze scientific careers," Research Policy, Elsevier, vol. 44(9), pages 1645-1658.
    10. Laudel, Grit & Bielick, Jana, 2019. "How do field-specific research practices affect mobility decisions of early career researchers?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    11. Liliane Bonnal & Jean-Francois Giret, 2010. "Determinants of access to academic careers in France," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(5), pages 437-458.
    12. Broström, Anders, 2019. "Academic breeding grounds: Home department conditions and early career performance of academic researchers," Research Policy, Elsevier, vol. 48(7), pages 1647-1665.
    13. Olena Leonchuk & Denis O. Gray, 2019. "Scientific and technological (human) social capital formation and Industry–University Cooperative Research Centers: a quasi-experimental evaluation of graduate student outcomes," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1638-1664, October.
    14. Camilla Gaiaschi & Rosy Musumeci, 2020. "Just a Matter of Time? Women’s Career Advancement in Neo-Liberal Academia. An Analysis of Recruitment Trends in Italian Universities," Social Sciences, MDPI, vol. 9(9), pages 1-19, September.
    15. Carolina Cañibano & F. Javier Otamendi & Francisco Solís, 2011. "International temporary mobility of researchers: a cross-discipline study," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 653-675, November.
    16. Geuna, Aldo & Shibayama, Sotaro, 2015. "Moving Out Of Academic Research: Why Scientists Stop Doing Research?," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201501, University of Turin.
    17. Quentin Plantec & Benjamin Cabanes & Pascal Le Masson & Benoit Weil, 2021. "Market-Pull Or Research Push? Effects Of Research Orientations On University-Industry Collaborative Ph.D. Projects' Performances," Post-Print halshs-03190142, HAL.
    18. Hayter, Christopher S. & Parker, Marla A., 2019. "Factors that influence the transition of university postdocs to non-academic scientific careers: An exploratory study," Research Policy, Elsevier, vol. 48(3), pages 556-570.
    19. Sabharwal, Meghna & Hu, Qian, 2013. "Participation in university-based research centers: Is it helping or hurting researchers?," Research Policy, Elsevier, vol. 42(6), pages 1301-1311.
    20. Pezzoni, Michele & Sterzi, Valerio & Lissoni, Francesco, 2012. "Career progress in centralized academic systems: Social capital and institutions in France and Italy," Research Policy, Elsevier, vol. 41(4), pages 704-719.

    More about this item

    Keywords

    Scientific labor force; race; gender; diversity; career outcomes; science policy.;
    All these keywords.

    JEL classification:

    • J4 - Labor and Demographic Economics - - Particular Labor Markets
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kan:wpaper:201006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Professor Zongwu Cai (email available below). General contact details of provider: https://edirc.repec.org/data/deuksus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.