Mind the Gap: Gender and Computer Science Conferences

Sytze van Herck, Antonio Maria Fiscarelli*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Computer science research areas are often arbitrarily defined by researchers themselves based on their own opinions or on conference rankings. First, we aim to classify conferences in computer science in an automated and objective way based on topic modelling. We then study the topic relatedness of research areas to identify isolated disciplinary silos and clusters that display more interdisciplinarity and collaboration. Furthermore, we compare career length, publication growth rate and collaboration patterns for men and women in these research areas.
Original languageEnglish
Title of host publicationThis Changes Everything - ICT and Climate Change: What Can We Do?
Subtitle of host publication13th IFIP TC 9 International Conference on Human Choice and Computers, HCC13 2018. Held at the 24th IFIP World Computer Congress, WCC2018, Poznan, Poland, September 19-21, 2018, Proceedings.
Place of PublicationCham
PublisherSpringer
Pages232-249
Number of pages17
Volume537
ISBN (Electronic)978-3-319-99605-9
ISBN (Print)978-3-319-99604-2
DOIs
Publication statusPublished - 26 Aug 2018
Externally publishedYes
Event13th IFIP TC 9 International Conference on Human Choice and Computers, HCC13 2018. Held at the 24th IFIP World Computer Congress, WCC2018.: This Changes Everything - ICT and Climate Change: What Can We Do? - Poznan, Poland
Duration: 19 Sept 201821 Sept 2018
Conference number: 13

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume537
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference13th IFIP TC 9 International Conference on Human Choice and Computers, HCC13 2018. Held at the 24th IFIP World Computer Congress, WCC2018.
Abbreviated titleHCC
Country/TerritoryPoland
CityPoznan
Period19/09/1821/09/18

Keywords

  • Gender
  • Bibliometrics
  • Topic Modelling

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