Discrimination discovery in scientific project evaluation: a case study (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Discrimination discovery in scientific project evaluation: a case study (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.eswa.2013.05.016 (literal)

Alternative label

• Romei A., Ruggieri S., Turini F. (2013)
  Discrimination discovery in scientific project evaluation: a case study
  in Expert systems with applications
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Romei A., Ruggieri S., Turini F. (literal)

Pagina inizio

• 6064 (literal)

Pagina fine

• 6079 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.sciencedirect.com/science/article/pii/S0957417413003023 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 40 (literal)

Rivista

• Expert systems with applications (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 16 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 15 (literal)

Note

• PuMa (literal)
• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• University of Pisa, Italy; CNR-ISTI, Pisa, Italy (literal)

Titolo

• Discrimination discovery in scientific project evaluation: a case study (literal)

Abstract

• Discovering contexts of unfair decisions in a dataset of historical decision records is a non-trivial problem. It requires the design of ad hoc methods and techniques of analysis, which have to comply with existing laws and with legal argumentations. While some data mining techniques have been adapted to the purpose, the state-of-the-art of research still needs both methodological refinements, the consolidation of a Knowledge Discovery in Databases (KDD) process, and, most of all, experimentation with real data. This paper contributes by presenting a case study on gender discrimination in a dataset of scientific research proposals, and by distilling from the case study a general discrimination discovery process. Gender bias in scientific research is a challenging problem, that has been tackled in the social sciences literature by means of statistical regression. However, this approach is limited to test an hypothesis of discrimination over the whole dataset under analysis. Our methodology couples data mining, for unveiling previously unknown contexts of possible discrimination, with statistical regression, for testing the significance of such contexts, thus obtaining the best of the two worlds. (C) 2013 Elsevier Ltd. All rights reserved. (literal)

Prodotto di

• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• SALVATORE RUGGIERI (Persona)
• FRANCO TURINI (Persona)

Insieme di parole chiave

• Keywords of "Discrimination discovery in scientific project evaluation: a case study" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• SALVATORE RUGGIERI (Persona)
• FRANCO TURINI (Persona)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Expert systems with applications (Rivista)

Insieme di parole chiave di

• Keywords of "Discrimination discovery in scientific project evaluation: a case study" (Insieme di parole chiave)