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  • Item type:Publication,
    Gender equality in the Italian academic context. Results from the IGEA project Open PDF 
    (Frontiers Media SA, 2023-02-21)
    Deiana, Giovanna
    ;
    Dettori, Marco
    ;
    Muresu, Narcisa
    ;
    Puci, Mariangela Valentina
    ;
    Saderi, Laura
    The Innovation for Gender Equality in Academia (IGEA) project is focused on the analysis of the gender composition in academia, on the identification of the health needs of the academic population and on the assessment of their organizational wellbeing, in order to promote equal working conditions and opportunities. The study, focused on the identification of health needs, involved the construction of an ad hoc questionnaire in order to collect the socio-demographic characteristics and the perception of working environment of the participants. Differences between males and females were evaluated by the Mann-Whitney test, and Pearson Chi-Square or Fisher exact tests as appropriate, highlighting significant differences between genders regarding the occurrence of anxiety, panic, irritation and annoyance related to work activities. A multivariate logistic regression analysis was performed to identify factors associated with the perception of work-related anxiety/panic, showing a direct association with the difficulty in work performance and the work-related stress during the pandemic period, whereas, an indirect association was found with job satisfaction and the feeling of being appreciated by colleagues. Occupational stress can increase the risk of developing physical and mental conditions, also affecting work performance and absenteeism. It is therefore fundamental to plan targeted interventions, implement policies and specific actions, in order to avoid and reduce any differences related to gender.
  • Item type:Publication,
    Hidden patterns: Using social network analysis to track career trajectories of women STEM faculty Open PDF 
    (2019)
    Collins, R.
    ;
    Steffen-Fluhr, N.
    Purpose: The purpose of this paper is to describe how one group of ADVANCE Project researchers investigated faculty co-authorship networks to identify relationships between women’s positions in these networks, their research productivity and their advancement at the university – and to make those relationships transparent. Design/methodology/approach: Multiple methods for capturing faculty network data were evaluated, including collecting self-reported data and mining bibliometric data from various web-based sources. Faculty co-authorship networks were subsequently analyzed using several methodologies including social network analysis (SNA), network visualizations and the Kaplan–Meier product limit estimator. Findings: Results suggest that co-authorship provides an important way for faculty to signal the value of their work, meaning that co-authoring with many others may be beneficial to productivity and promotion. However, patterns of homophily indicate that male faculty tend to collaborate more with other men, reducing signaling opportunities for women. Visualizing these networks can assist faculty in finding and connecting with new collaborators and can provide administrators with unique views of the interactions within their organizations. Finally, Kaplan–Meier survival studies showed longitudinal differences in the retention and advancement of faculty based on gender. Originality/value: Together, these findings begin to shed light on subtle differences that, over time, may account for the significant gender disparities at STEM institutions, patterns which should be investigated and addressed by administrators. Lessons learned, as well as the novel use of SNA and Kaplan–Meier in investigating gender differences in STEM faculty, provide important findings for other researchers seeking to conduct similar studies at their own institutions. © 2019, Emerald Publishing Limited.