• DocumentCode
    589154
  • Title

    Discovering Gender Discrimination in Project Funding

  • Author

    Romei, A. ; Ruggieri, Salvatore ; Turini, F.

  • Author_Institution
    Dipt. di Inf., Univ. di Pisa, Pisa, Italy
  • fYear
    2012
  • fDate
    10-10 Dec. 2012
  • Firstpage
    394
  • Lastpage
    401
  • Abstract
    The selection of projects for funding can hide discriminatory decisions. We present a case study investigating gender discrimination in a dataset of scientific research proposals submitted to an Italian national call. The method for the analysis relies on a data mining classification strategy that is inspired by a legal methodology for proving evidence of social discrimination against protected-by-law groups.
  • Keywords
    data mining; gender issues; pattern classification; Italian national call; data mining classification strategy; discovering gender discrimination; legal methodology; project funding; scientific research; social discrimination; Context; Data mining; Law; Proposals; Standards; Testing; classification; data mining; gender discrimination; k-nn;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
  • Conference_Location
    Brussels
  • Print_ISBN
    978-1-4673-5164-5
  • Type

    conf

  • DOI
    10.1109/ICDMW.2012.39
  • Filename
    6406467