Balancing fraud analytics with legal requirements: Governance practices and trade-offs in public administrations

Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but...

Big and Open Linked Data (BOLD) in Research, Policy and Practice

The value of data as a new economic asset class is seldom realized on its own. With less reliance on self-administered survey, it offers new insights into behaviors and patterns. Yet it is a huge undertaking of bringing together multiple actors from different disciplines and diverse practices to examine the underexplored relationships between...