Paper Info
Title
Exploiting Data Analytics for Social Services: On Searching for Profiles of Unlawful Use of Social Benefits.
Abstract
In this paper we present a data-driven profiling approach that we have adopted and implemented for a municipality. Our aim was to make profiles transparent and meaningful for citizens, policymakers and authorities so that they can validate, scrutinize and challenge the profiles. Our approach relies on a Genetic Algorithm (GA) that searches for useful and human understandable group profiles. Furthermore, we discuss some of the challenges encountered, show a selection of the profiles that were found by the GA, and discuss the necessity and a number of ways of validating these profiles in accordance with, e.g., privacy and non-discrimination laws and guidelines before using them in practice.
Year
DOI
Venue
2018
10.1145/3209415.3209481
ICEGOV
Keywords
Field
DocType
Data analytics,social benefits,profiling,Genetic Algorithm
Data science,Data analysis,Profiling (computer programming),Computer science,Public relations,Social benefits,Genetic algorithm,Social Welfare
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Niels Netten122.12
Mortaza S. Bargh219921.12
Sunil Choenni3309111.82