Research on Biases in Faculty Evaluation

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Research about biases and stereotypes in faculty evaluation 
Supports the P&T Committee Chair Check-List
 
Cognitive Bias:
Reading & writing letters of reference:
 
Teaching Evaluations:
Service:
  • Armstrong, M. A., & Jovanovic, J. (2017). The intersectional matrix: Rethinking institutional change for URM women in STEM. Journal of Diversity in Higher Education, 10(3), 216–231. https://doi.org/10.1037/dhe0000021
  • Guarino, C.M., Borden, V.M.H. Faculty Service Loads and Gender: Are Women Taking Care of the Academic Family?. Res High Educ 58, 672–694 (2017). https://doi.org/10.1007/s11162-017-9454-2
  • Mitchell, S., & Hesli, V. (2013). Women Don't Ask? Women Don't Say No? Bargaining and Service in the Political Science Profession. PS: Political Science & Politics, 46(2), 355-369. doi:10.1017/S1049096513000073 and Hanasono et. Al. 2019
  • O’Meara, K. Kuvaeva, A., Nyunt, G., Jackson, R. & Waugaman, C. (2017). Asked More Often: Gender Differences in Faculty Workload in Research Universities and the Work Interactions that Shape Them. American Educational Research Journal-SIA. 1-33.
Citations & Collaboration:
  • Beaudry, Catherine, and Vincent Larivière. 2016. “Which Gender Gap? Factors Affecting Researchers’ Scientific Impact in Science and Medicine.” Research Policy 45 (9): 1790– 1817. doi:10.1016/j.respol.2016.05.009.
  • Ding, Y., Zhang, G., Chambers, T., Song, M., Wang, X., Zhai, C.: Content-based citation analysis: the next generation of citation analysis. J. Assoc. Inf. Sci. Technol. 65(9), 1820–1833 (2014)
  • Freeman R, Huang W (2015) Collaborating with people like me: ethnic coauthorship within the United States. J Labor Econ 33(s1):s289–s318
  • Helmer, M; Schottdorf, M, Neef A, Battaglia D. Gender bias in scholarly peer review, 2017, https://doi.org/10.7554/eLife.21718.012
  • Lariviere V, Ni C, Gringras Y, Cronin, B, Sugimoto, C. Bibliometrics: Global gender disparities in science. Nature 504(7479):211-3; 2013 DOI: 10.1038/504211a
  • Marschke G, Yu Huifeng. Last Place? The Intersection of Ethnicity, Gender, and Race in Biomedical Authorship. EA Papers and Proceedings 108(5):222-27 2018 DOI: 10.1257/pandp.20181111
  • Milard B. 2014. The social circles behind scientific references: Relationships between citing and cited authors in chemistry publications, J Assoc Info Sci Tech  65 (12) https://doi.org/10.1002/asi.23149
  • Milard B, Tanguy L (2018) Citations in scientific texts: do social relations matter? J Assoc Info Sci Tech 69(11):1380–1395
  • Mitchell SM, Lange S, Brus H (2013) Gendered citation patterns in international relations, 14, no. 4 (2013): 485-92.
  • Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines Reinforce Racism. New York: NYU Press, 2018. Accessed November 5, 2020. doi:10.2307/j.ctt1pwt9w5
  • Vanclay J (2013) Factors affecting citation rates in environmental science. J Informet 7(2):265–271
  • Van Noorden R (2015) Interdisciplinary research by the numbers, an analysis reveals the extent and impact of research that bridges disciplines. Nature 525:306–307
  • Van Noorden R (2017) The science that’s never been cited. Nature 5552:162–164
Grants/Panels:
  • Yen, J.W. De-biasing the evaluation process of in-person review panels for a postdoctoral fellowship. Nat Astron 3, 1041–1042 (2019). https://doi.org/10.1038/s41550-019-0835-7
  • Ginther, D. K., Kahn, S., & Schaffer, W. T. (2016). Gender, Race/Ethnicity, and National Institutes of Health R01 Research Awards: Is There Evidence of a Double Bind for Women of Color?. Academic medicine : journal of the Association of American Medical Colleges91(8), 1098–1107. https://doi.org/10.1097/ACM.0000000000001278
Awards/leadership roles: