The paper proposes a fuzzy expert system for gender equality evaluation in tertiary education that has been experimented in 6 European universities in Italy, Lithuania, Finland, Germany, Portugal, Ukraine within the EQUAL-IST Horizon 2020 project with the goal to design and implement Gender Equality Plans (GEPs) for IST Research Institutions. We propose a Fuzzy Expert System (FES), a cognitive model that, by replicating the expert way of learning and thinking, allows to formalize qualitative concepts and to reach a synthetic measure of the institution’s gender equality (ranging from 0 to 1 increasing with gender equality achievements), that can be then disentangled in different dimensions. The dimensions included in the model relate to gender equality in the structure of employment (academic and non academic) and in the governance of the universities, to the equal opportunity machinery and to the work-life balance policies promoted by the institutions. The rules and weights in the system are the results of a mixed strategy composed by gender equality experts and by a participatory approach that has been promoted within the EQUAL-IST project. The results show heterogeneity in the final index of gender equality and allow to detect the more critical areas where new policies should be implemented to achieve an improvement in gender equality. The value of the final gender equality index resulting from the application of the FES is then compared to the gender equality perceived by each institution involved in the project and will be used to improve also the awareness in gender gap in important dimensions in tertiary education setting.
Measuring Gender Equality in Universities / Addabbo, T.; Canali, C.; Facchinetti, G.; Pirotti, T.. - 889(2019), pp. 109-121. ((Intervento presentato al convegno 21st International Multi-Conference on Advanced Computer Systems, ACS 2018 tenutosi a pol nel 2018 [10.1007/978-3-030-03314-9_10].
|Data di pubblicazione:||2019|
|Titolo:||Measuring Gender Equality in Universities|
|Autore/i:||Addabbo, T.; Canali, C.; Facchinetti, G.; Pirotti, T.|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/978-3-030-03314-9_10|
|Codice identificativo Scopus:||2-s2.0-85059004867|
|Nome del convegno:||21st International Multi-Conference on Advanced Computer Systems, ACS 2018|
|Luogo del convegno:||pol|
|Data del convegno:||2018|
|Serie:||ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING|
|Citazione:||Measuring Gender Equality in Universities / Addabbo, T.; Canali, C.; Facchinetti, G.; Pirotti, T.. - 889(2019), pp. 109-121. ((Intervento presentato al convegno 21st International Multi-Conference on Advanced Computer Systems, ACS 2018 tenutosi a pol nel 2018 [10.1007/978-3-030-03314-9_10].|
|Tipologia||Relazione in Atti di Convegno|
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