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2013 IEEE 13th 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
Andrea Romei, Salvatore Ruggieri, Franco Turini, "Discovering Gender Discrimination in Project Funding", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 394-401, 2012, doi:10.1109/ICDMW.2012.39
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