Title :
Discovering Gender Discrimination in Project Funding
Author :
Romei, A. ; Ruggieri, Salvatore ; Turini, F.
Author_Institution :
Dipt. di Inf., Univ. di Pisa, Pisa, Italy
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;
Conference_Titel :
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-5164-5
DOI :
10.1109/ICDMW.2012.39
