The Gender Gap in Computer Science — A Bibliometric Analysis
Please always quote using this URN: urn:nbn:de:bvb:29-opus4-94376
- The low share of women in computer science is documented by many surveys. Most of these studies are based on registrations or enrolments of universities or other scientific institutions. In this paper, we present a new approach to a) analyse the gender gap in the group of scientists that are currently active in research and b) classify differences for different fields of computer science. This group comprises professors, industrial researchers, senior lecturers, postdoctoral researchers, and doctoral students shortly before finishing their theses. The proportion of women in a specific scientific area of computer science might provide valuable information for strategies to recruit women asThe low share of women in computer science is documented by many surveys. Most of these studies are based on registrations or enrolments of universities or other scientific institutions. In this paper, we present a new approach to a) analyse the gender gap in the group of scientists that are currently active in research and b) classify differences for different fields of computer science. This group comprises professors, industrial researchers, senior lecturers, postdoctoral researchers, and doctoral students shortly before finishing their theses. The proportion of women in a specific scientific area of computer science might provide valuable information for strategies to recruit women as postdocs or professors.…
Author: | Sandra Mattauch, Katja Lohmann, Frank Hannig, Daniel Lohmann, Jürgen Teich |
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Persistent identifiers - URN: | urn:nbn:de:bvb:29-opus4-94376 |
Persistent identifiers - DOI: | https://doi.org/10.25593/issn.2191-5008/CS-2018-02 |
ISSN: | 2191-5008 |
Series (Volume number): | Technical reports / Department Informatik (CS-2018-02) |
Document Type: | Report |
Language: | English |
Year of publication: | 2018 |
Date of online publication (Embargo Date): | 2018/03/01 |
Publishing Institution: | Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Release Date: | 2018/03/12 |
Tag: | Frauenanteil in der Informatik Bibliometric Analysis; Gender Gap; Science, Technology, Engineering and Mathematics (STEM) |
SWD-Keyword: | Gender |
Length/size: | 1-11 |
Institutes: | Technische Fakultät |
CCS-Classification: | A. General Literature |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke |
open_access (DINI-Set): | open_access |
Licence (German): |