Articles producció científicaEnginyeria Informàtica i Matemàtiques

Building a Territorial Working Group to Reduce Gender Gap in the Field of Artificial Intelligence

  • Dades identificatives

    Identificador:  imarina:9249034
    Autors:  Gibert, Karina; Valls, Aida
    Resum:
    The gender gap (both at vocational and professional sides) in Artificial Intelligence (AI), and scientific and technological fields in general, is one of the most critical challenges that the current digital society must solve. This paper describes the proposal of the gender commission donesIAcat to create a gender working group formed by Catalan AI scientists and professionals who work in a network for bridging this gap. The main objectives for letting girls know that they can study and work in the AI field are presented in this paper. A general methodological framework is proposed, following the internal organization of the Catalan group donesIAcat. Several key actions are explained and classified into six blocks. A relevant contribution of the paper is the definition of the guidelines required to build a territorial network-based structure capable of launching several AI-related activities targeting people at different stages of their life. The activities done at donesIAcat illustrate the possible outcomes of the proposed methodology and show successful initiatives to engage girls in technology and AI. The paper shows the validity of this model for small homogeneous territories where activities can be suitable for the different cities in the region. Proximity is one of the advantages of such a model and one of the reasons for its success.
  • Altres:

    Enllaç font original: https://www.mdpi.com/2076-3417/12/6/3129
    Referència de l'ítem segons les normes APA: Gibert, Karina; Valls, Aida (2022). Building a Territorial Working Group to Reduce Gender Gap in the Field of Artificial Intelligence. Applied Sciences-Basel, 12(6), 3129-. DOI: 10.3390/app12063129
    Referència a l'article segons font original: Applied Sciences-Basel. 12 (6): 3129-
    DOI de l'article: 10.3390/app12063129
    Any de publicació de la revista: 2022
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Data d'alta del registre: 2025-02-19
    Autor/s de la URV: Valls Mateu, Aïda
    Departament: Enginyeria Informàtica i Matemàtiques
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Gibert, Karina; Valls, Aida
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: Química, Process chemistry and technology, Physics, applied, Materials science, multidisciplinary, Materials science (miscellaneous), Materials science (all), Materiais, Instrumentation, General materials science, General engineering, Fluid flow and transfer processes, Engineering, multidisciplinary, Engineering (miscellaneous), Engineering (all), Engenharias ii, Engenharias i, Computer science applications, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências agrárias i, Ciência de alimentos, Chemistry, multidisciplinary, Biodiversidade, Astronomia / física
    Adreça de correu electrònic de l'autor: aida.valls@urv.cat
  • Paraules clau:

    Gender gap
    Equity
    Artificial intelligence
    Chemistry
    Multidisciplinary
    Computer Science Applications
    Engineering (Miscellaneous)
    Engineering
    Fluid Flow and Transfer Processes
    Instrumentation
    Materials Science (Miscellaneous)
    Materials Science
    Physics
    Applied
    Process Chemistry and Technology
    Química
    Materials science (all)
    Materiais
    General materials science
    General engineering
    Engineering (all)
    Engenharias ii
    Engenharias i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Biodiversidade
    Astronomia / física
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