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What contributes to gender parity in science? A Bayesian Network analysis

dc.contributor.authorGonzález-Salmón, Elvira
dc.contributor.authorChinchilla-Rodríguez, Zaida
dc.contributor.authorNane, Gabriela F.
dc.contributor.authorRobinson García, Nicolás 
dc.date.accessioned2024-07-02T07:32:46Z
dc.date.available2024-07-02T07:32:46Z
dc.date.issued2024-07-01
dc.identifier.citationGonzález-Salmón, E., Chinchilla-Rodriguez, Z., Nane, G. F., & Robinson-Garcia, N. (2024, julio 1). What contributes to gender parity in science? A Bayesian Network analysis. 28th International Conference on Science, Technology and Innovation Indicators (STI 2024), Berlin. https://doi.org/10.5281/zenodo.12609270es_ES
dc.identifier.urihttps://hdl.handle.net/10481/92908
dc.descriptionThis 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.abstractWe 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.sponsorshipSpanish Ministry of Science PID2020-117007RA-I00, PID2021-128429NB-I00, FPU2021/02320, RYC2019-027886-Ies_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectScientometricses_ES
dc.subjectGenderes_ES
dc.titleWhat contributes to gender parity in science? A Bayesian Network analysises_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.5281/zenodo.12609269
dc.type.hasVersionSMURes_ES


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