Understanding the Impact of Job Language on Workforce Participation of Underrepresented Minorities

This research will measure the impact of job description language on respondents’ interests in a job with a goal of helping hiring organizations and recruiting software vendors to improve the underrepresentation of minorities in applicant pools. For example, previous research has stated that language emphasizing stereotypically ‘masculine’ attributes reduces women’s interest in internships and jobs. The magnitude and nature of the impact of job description language on the interest of people of color in professional opportunities remains an open question and will be explored.

Maryam is a Research Scientist at TapRecruit. Maryam has more than 10 years’ experience in experimental design and statistical analysis and has developed expertise in applied social and organizational psychology as well as data science, computational linguistics, and machine learning. Her research program integrates these different approaches to generate a holistic view of how language and behaviors affect decision-making at multiple stages of the hiring process. Maryam has been invited to speak about the impact of heuristics in recruiting at various conferences on data science and business.

Maryam received her Ph.D. from the Icahn School of Medicine at Mt. Sinai (NYC) and her B.A. and B.Sc. degrees from the University of Melbourne in Australia. She is a member of academic bodies that advance behavioral research (American Psychological Association, Society for Personality and Social Psychology and the Society for the Psychological Study of Social Issues). She is also active in organizations that promote women in technology (Women in Machine Learning and Data Science, Women who Code, Women in Analytics, R-Ladies, Py-Ladies).