Exploiting data analytics for social services: on searching for profiles of unlawful use of social benefits
Exploiting data analytics for social services: on searching for profiles of unlawful use of social benefits
Samenvatting
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.
Organisatie | Hogeschool Rotterdam |
Lectoraat | Kenniscentrum Creating 010 |
Gepubliceerd in | ICEGOV '18 Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance ACM, New York, Pagina's: 550-559 |
Datum | 2018-04-04 |
Type | Artikel |
ISBN | 9781450354219 |
DOI | 10.1145/3209415.3209481 |
Taal | Engels |