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2012 IEEE 12th International Conference on Data Mining Workshops
Discovering Gender Discrimination in Project Funding
Brussels, Belgium Belgium
December 10-December 10
ISBN: 978-1-4673-5164-5
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.
Index Terms:
Proposals,Data mining,Context,Law,Testing,Standards,k-nn,gender discrimination,data mining,classification
Citation:
Andrea Romei, Salvatore Ruggieri, Franco Turini, "Discovering Gender Discrimination in Project Funding," icdmw, pp.394-401, 2012 IEEE 12th International Conference on Data Mining Workshops, 2012
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