Romei A., Ruggieri S., Turini F.
data mining Classification Gender discrimination
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.
Source: IEEE, 12th International Conference on Data Mining Workshops, ICDMW 2012., Brussels, Belgium, 10 December 2012
@inproceedings{oai:it.cnr:prodotti:275989, title = {Discovering gender discrimination in project funding}, author = {Romei A. and Ruggieri S. and Turini F.}, doi = {10.1109/icdmw.2012.39}, booktitle = {IEEE, 12th International Conference on Data Mining Workshops, ICDMW 2012., Brussels, Belgium, 10 December 2012}, year = {2012} }