01608nas a2200133   4500008004100000245005800041210005600099300001400155490000700169520116600176100001801342700002401360856009001384       2014                        eng d00aA multidisciplinary survey on discrimination analysis0 amultidisciplinary survey on discrimination analysis  a582–6380 v293 aThe collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last 50 years in the economic, legal, statistical, and, recently, in the data mining literature. This is not surprising, since discrimination analysis is a multidisciplinary problem, involving sociological causes, legal argumentations, economic models, statistical techniques, and computational issues. The objective of this survey is to provide a guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems, application areas, datasets, methods, and approaches from a multidisciplinary perspective. We organize the approaches according to their method of data collection as observational, quasi-experimental, and experimental studies. A fourth line of recently blooming research on knowledge discovery based methods is also covered. Observational methods are further categorized on the basis of their application context: labor economics, social profiling, consumer markets, and others.1 aRomei, Andrea1 aRuggieri, Salvatore  uhttps://kdd.isti.cnr.it/publications/multidisciplinary-survey-discrimination-analysis