Why do women pursue a Ph.D. in Computer Science?
Journal of Systems and Software, vol. 231, pp. 112586
Abstract
Context: Computer science, even now, attracts a small number of women, and the proportion of women in the field decreases through advancing career stages. Consequently, few women progress to Ph.D. studies in computer science after completing master’s studies. Empowering women at this stage in their careers is essential, not just for equality reasons, but to unlock untapped potential for society, industry and academia. Objective: This paper aims to identify students’ career assumptions and information related to Ph.D. studies focused on gender-based differences. We propose a program to inform female master students about Ph.D. studies that explains the process, clarifies misconceptions, and alleviates concerns. Method: An extensive survey was conducted to identify factors that encourage and discourage students from undertaking Ph.D. studies. The analysis identified statistically significant differences between those who undertook Ph.D. studies and those who did not, as well as statistically significant gender differences. A catalogue of questions to initiate discussions with potential Ph.D. students which allowed them to explore these factors was developed. These were structured into a Women’s Career Lunch program where students can explore and discuss the benefits of Ph.D. study. Results: Encouraging factors towards Ph.D. study include interest and confidence in research arising from a research involvement during earlier studies; enthusiasm for and self-confidence in computer science in addition to an interest in an academic career; encouragement from external sources; and a positive perception towards Ph.D. studies which can involve achieving personal goals. Discouraging factors include uncertainty and lack of knowledge of the Ph.D. process, a perception of lower job flexibility, and the requirement for long-term commitment. Gender differences highlighted that female students who pursue a Ph.D. have less confidence in their technical skills than males but a higher preference for interdisciplinary areas. Female students are less inclined than males to perceive the industry as offering better job opportunities and more flexible career paths than academia. Conclusions: The insights collected from the survey facilitated the development of a questions catalogue structured into the Women Career Lunch program to help students make a more informed decision concerning whether they should pursue a Ph.D. in computer science. Localised versions of this program, in 8 languages, were created to support its adoption in different countries and assist in mitigating the female under-representation challenge.
Authors 16
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, Aachen, Germany
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Miguel Goulão corresponding
Laboratório para a Ciência da Computação e Informática · Universidade Nova de Lisboa
Affiliation as printed
Department of Computer Science, NOVA School of Science and Technology, NOVA LINCS, Lisboa, Portugal
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Affiliation as printed
Department of Computer Science, Faculty of Mathematics, University of Belgrade, Belgrade, Serbia
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Technological University Dublin
Affiliation as printed
School of Computer Science, Technological University Dublin, Dublin, Ireland
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International University of Sarajevo
Affiliation as printed
Department of Engineering, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina
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Kharkiv National University of Radio Electronics
Affiliation as printed
V.V. Popovskyy Department of Infocommunication Engineering, Faculty of Infocommunications, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
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International University of Sarajevo
Affiliation as printed
Department of Engineering, Faculty of Engineering and Natural Sciences, International University of Sarajevo, Sarajevo, Bosnia and Herzegovina
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Centre National de la Recherche Scientifique · Université Côte d'Azur · Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis
Affiliation as printed
Université Côte d’Azur, Laboratoire I3S - CNRS, Sophia Antipolis, France
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Affiliation as printed
Faculty Information Systems and Applied Computer Sciences, University of Bamberg, Bamberg, Germany
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KTH Royal Institute of Technology
Affiliation as printed
Department of Computer Science, Division of Theoretical Computer Science, of the KTH Royal Institute of Technology, Sweden
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Department of Computer Science, RWTH Aachen University, Aachen, Germany
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Universidade Politécnica de Lisboa
Affiliation as printed
Department of Electronical Engineering, Telecommunications and Computers, ISEL, Lisbon School of Engineering, Instituto Politécnico de Lisboa, Lisboa, Portugal
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Affiliation as printed
Department of Physics, Faculty of Arts and Sciences, Adiyaman, Turkiye
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KTH Royal Institute of Technology
Affiliation as printed
Department of Computer Science, Division of Theoretical Computer Science, of the KTH Royal Institute of Technology, Sweden
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