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What contributes to gender parity in science? A Bayesian Network analysis
dc.contributor.author | González-Salmón, Elvira | |
dc.contributor.author | Chinchilla-Rodríguez, Zaida | |
dc.contributor.author | Nane, Gabriela F. | |
dc.contributor.author | Robinson García, Nicolás | |
dc.date.accessioned | 2024-07-02T07:32:46Z | |
dc.date.available | 2024-07-02T07:32:46Z | |
dc.date.issued | 2024-07-01 | |
dc.identifier.citation | Published version: González-Salmón, E. et al. What contributes to gender parity in science? A Bayesian Network analysis. 2024 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/92908 | |
dc.description | This work is part of the COMPARE project (Ref: PID2020-117007RA-I00) and the RESPONSIBLE project (Ref: PID2021-128429NB-I00), both funded by the Spanish Ministry of Science (Ref: MCIN/AEI /10.13039/501100011033 FSE invierte en tu futuro). E.G-S. is currently supported by an FPU grant from the Spanish Ministry of Science (Ref: FPU2021/02320). N.R-G. is currently supported by a Ramón y Cajal grant from the Spanish Ministry of Science (Ref: RYC2019-027886-I). | es_ES |
dc.description.abstract | We retrieve data from Dimensions, the World Bank Open Data (WBOA) and the UNESCO Institute for Statistics (UIS) to construct a country level longitudinal dataset including the yearly number of researchers by gender. Our aim is to predict when each country will reach gender parity and which factors may influence the increase of the proportion of women in science. Here we present some preliminary findings using the ARIMA and Exponential Smoothing forecasting models, and a first attempt to look into influencing factors using Bayesian Networks. | es_ES |
dc.description.sponsorship | Spanish Ministry of Science PID2020-117007RA-I00, PID2021-128429NB-I00, FPU2021/02320, RYC2019-027886-I | es_ES |
dc.language.iso | eng | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Scientometrics | es_ES |
dc.subject | Gender | es_ES |
dc.title | What contributes to gender parity in science? A Bayesian Network analysis | es_ES |
dc.type | conference output | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.5281/zenodo.12609269 | |
dc.type.hasVersion | SMUR | es_ES |