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2012 IEEE 12th International Conference on Data Mining Workshops (2012)
Brussels, Belgium Belgium
Dec. 10, 2012 to Dec. 10, 2012
ISBN: 978-1-4673-5164-5
pp: 394-401
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.
INDEX TERMS
Proposals, Data mining, Context, Law, Testing, Standards, k-nn, gender discrimination, data mining, classification
CITATION

A. Romei, S. Ruggieri and F. Turini, "Discovering Gender Discrimination in Project Funding," 2012 IEEE 12th International Conference on Data Mining Workshops(ICDMW), Brussels, Belgium Belgium, 2012, pp. 394-401.
doi:10.1109/ICDMW.2012.39
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