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1.
Proc Natl Acad Sci U S A ; 119(32): e2123105119, 2022 08 09.
Article in English | MEDLINE | ID: mdl-35914160

ABSTRACT

As the workforce shifts to being predominantly hybrid and remote, how can companies help employees-particularly early-career women in science, technology, engineering, and mathematics (STEM) fields-develop greater confidence in their soft skills, shown to improve organizational retention? We evaluate the effects of an online longitudinal intervention to develop soft skills among early-career women employees at a North American biotechnology company during the height of the COVID-19 pandemic. Controlling for baseline levels collected immediately prior to nationwide lockdowns, we find that a 6-month online intervention increased early-career women's assessments of their soft skills at work by an average of 9% (P < 0.001), compared with a decrease of about 3.5% for a matched control group (P < 0.05), resulting in an average treatment effect of nearly 13% on the treated group. Furthermore, we find evidence that the intervention led to an increase in manager-assessed performance for early-career women relative to employees not in the intervention, and that overall, increased self-assessments of soft skill competencies were associated with greater odds of retention. Results show how employee soft skill development was affected by the pandemic and provide insights for a feasible and cost-effective method to train and engage a hybrid or fully remote workforce.


Subject(s)
COVID-19 , Professional Competence , Women, Working , Engineering , Female , Humans , Mathematics , Occupations , Pandemics , Science , Technology
2.
Soc Stud Sci ; 48(1): 149-164, 2018 02.
Article in English | MEDLINE | ID: mdl-29424284

ABSTRACT

A 'chilly' environment limits women's advancement through the educational pipeline leading to jobs in science and technology. However, we know relatively little about the environment women encounter after making it through the educational pipeline. Do technology companies create environments that may dampen women's interest at the juncture when they are launching their careers? Using original observational data from 84 recruiting sessions hosted by technology companies at a prominent university on the US West Coast, we find that company representatives often engage in behaviors that are known to create a chilly environment for women. Through gender-imbalanced presenter roles, geek culture references, overt use of gender stereotypes, and other gendered speech and actions, representatives may puncture the pipeline, lessening the interest of women at the point of recruitment into technology careers.


Subject(s)
Interviews as Topic/statistics & numerical data , Social Alienation/psychology , Technology/statistics & numerical data , Women/psychology , Engineering/organization & administration , Engineering/statistics & numerical data , Female , Humans , Interviews as Topic/methods , Science/organization & administration , Science/statistics & numerical data , Technology/organization & administration
4.
PLoS One ; 8(7): e66212, 2013.
Article in English | MEDLINE | ID: mdl-23894278

ABSTRACT

Gender disparities appear to be decreasing in academia according to a number of metrics, such as grant funding, hiring, acceptance at scholarly journals, and productivity, and it might be tempting to think that gender inequity will soon be a problem of the past. However, a large-scale analysis based on over eight million papers across the natural sciences, social sciences, and humanities reveals a number of understated and persistent ways in which gender inequities remain. For instance, even where raw publication counts seem to be equal between genders, close inspection reveals that, in certain fields, men predominate in the prestigious first and last author positions. Moreover, women are significantly underrepresented as authors of single-authored papers. Academics should be aware of the subtle ways that gender disparities can occur in scholarly authorship.


Subject(s)
Authorship , Sexism/statistics & numerical data , Humans , Publications/statistics & numerical data , Sex Factors , Time Factors
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