The Community for Technology Leaders
RSS Icon
Subscribe
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", ICDMW, 2012, 2013 IEEE 13th International Conference on Data Mining Workshops, 2013 IEEE 13th International Conference on Data Mining Workshops 2012, pp. 394-401, doi:10.1109/ICDMW.2012.39
18 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool