Modeling gender evolution and gap in science and technology using ecological dynamics
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.
This article examines which public programmes and which socio-economic development indicators have had an impact on contraceptive practices and fertility in a selected group of villages in Comilla district of Bangladesh. It finds that equitable even-handed development may be a good contraceptive but is not a realistic alternative to family planning effort....This research undertaken in 1985 replicates a similar knowledge attitudes and practice (KAP) type study undertaken in these same villages some 20 years earlier in 1967/68....Thus the two studies provide a unique look at demographic behavioural characteristics when these agricultural development programmes were in an early stage and then 20 years later. (EXCERPT)