Modeling gender evolution and gap in science and technology using ecological dynamics

Authors:
Ioannis Neokosmidis;Nikolaos Avaritsiotis;Zoe Ventoura
Affiliations:
Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, GR 157-84 Athens, Greece;Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, GR 157-84 Athens, Greece;Department of Business Administration, Athens University of Economics and Business, 77 Patission Street, 10434 Athens, Greece
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

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Abstract

In this paper a model based on population biology is proposed in order to investigate the evolution of human resources (men and women) in science and technology as a share of labor market as well as the dynamics of their gap. An analytical and a simulation method using the Artificial Bee Colony optimization algorithm are described and used for the determination of the proposed model parameters. The presented model is applied to three case studies; Greece, Portugal and Europe-27. The accuracy of the obtained results is confirmed through comparison with actual data. In addition, the model can also be used to accurately forecast future trends. It is illustrated that the gender gap is continuously decreasing, while in the last years, women seem to outperform men in the field of science and technology. The estimation and forecasting ability of the model can be used as an extremely valuable tool for decision and policy makers.