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Discipline: search.filters.discipline.Computer ScienceSubject: search.filters.subject.Gender Disparity

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  • Item type:Publication,
    Advance Gender Prediction Tool of First Names and its Use in Analysing Gender Disparity in Computer Science in the UK, Malaysia and China
    (Institute of Electrical and Electronics Engineers Inc., 2018)
    Zhao, H.
    ;
    Kamareddine, F.
    Global gender disparity in science is an unsolved problem. Predicting gender has an important role in analysing the gender gap through online data. We study this problem within the UK, Malaysia and China. We enhance the accuracy of an existing gender prediction tools of names that can predict the sex of Chinese characters and English characters simultaneously and with more precision. During our research, we found that there is no free gender forecasting tool to predict an arbitrary number of names. We addressed this shortcoming by providing a tool that can predict an arbitrary number of names with free requests. We demonstrate our tool through a number of experimental results. We show that this tool is better than other gender prediction tools of names for analysing social problems with big data. In our approach, lists of data can be dynamically processed and the results of the data can be displayed with a dynamic graph. We present experiments of using this tool to analyse the gender disparity in computer science in the UK, Malaysia and China. © 2017 IEEE.
  • Item type:Publication,
    A global approach to the gender gap in mathematical, computing and natural sciences: How to measure it, how to reduce it? Open PDF 
    (Academy of Science of South Africa, 2019)
    Gledhill, I.M.A.
    ;
    Roy, M.-F.
    ;
    Chiu, M.-H.
    ;
    Ivie, R.
    ;
    Ponce-Dawson, S.
    The participation of women in many fields of science remains a subject of concern worldwide. In this Commentary, we describe one of three collaborative projects – the Gender Gap project – funded by the International Science Council (ISC) and the 11 partners of the project. This project is the only one of the three that addresses an issue of such relevance for society. The objectives of the project are to provide evidence on which interventions can be based, and to make available material on best practice that has been proven by test. The project includes a joint global survey and a bibliometric analysis, both of which have an emphasis on comparing and contrasting results from less developed countries and from more developed countries.